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Roles & Responsibilities

What You'll Do

•    Design and build the core Node.js services and REST APIs from scratch, built to scale as we grow.

•    Own system design end to end: service boundaries, data flow, caching, queueing, failure modes, and scale.

•    Ship AI/ML-powered features, including LLM and agentic capabilities.

•    Use LLMs and agentic tooling across the SDLC, from design and code generation to testing and debugging.

•    Model data and optimize SQL/NoSQL queries for performance; integrate with third-party platforms.

•    Debug production issues, own reliability, and set the engineering standards the rest of the team will grow into.

Ideal Candidate

1.Strong Backend Node.js Developer Profile

2.Mandatory (Experience 1) – Must have 6+ years of hands-on Backend Engineering experience using Node.js building production-grade systems for B2C products at meaningful consumer scale

3.Mandatory (Experience 2) – Must be AI-native in their own engineering workflow: already uses LLMs and agentic tooling across the SDLC, from design and code generation through testing and debugging

4.Mandatory (Experience 3) – Must have owned backend architecture end to end, including greenfield builds. Should be able to make early architecture calls and reason clearly about service boundaries, data flow, caching, queueing, failure modes, scalability, and reliability trade-offs under real constraints.

5.Mandatory (Experience 4) – Must have a solid understanding of backend fundamentals, including API development, service-oriented architecture, data structures, algorithms, and clean coding practices

6.Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs and backend services, including integrations with external systems and third-party platforms

7.Mandatory (Experience 6) – Must have strong experience working with databases (SQL and/or NoSQL), including efficient data modeling, query optimization, and performance tuning

8.Mandatory (Company) – Must have worked in B2C product companies / startups at meaningful consumer scale. (WealthTech, FinTech, or high-growth consumer product background is highly preferred)

9.Mandatory (Stability) – Must have a stable career history, with consistent tenure across previous companies; frequent job-hopping will not be considered

10.Mandatory (AI Product) – Must have experience building and shipping products that use LLMs and agentic workflows to end users.

11.Mandatory (Compensation Alignment) – Candidate must be comfortable with the compensation structure where the company matches their current CTC and provides ESOPs, without any salary hike.

12.Mandatory (Exclusion) – Candidates currently working at Stable Money will not be considered

13.Mandatory (Note1) – Seed-funded WealthTech startup. Candidate must be comfortable in an early-stage, fast-paced environment with shifting priorities

14.Mandatory (Note2) – Founding tech team role. Work from office, 6 days a week. Candidate must be willing to own the backend end to end and set engineering standards

15.Preferred (College) – Tier1 engineering college is a plus plus

16.Preferred (Note) – Previous founding engineer or early-team startup experience is a plus.

PLATFORM ENGINEER

Engineering · Platform

📍 Noida 🕐 Full-Time 🧭 2-3 Years

THE MISSION

We aren't automating scripts — we're deprecating the era of manual-heavy testing entirely. TestMu AI is building the world's first AI-native platform where Agentic Intelligence autonomously plans, authors, and self-heals the entire Quality Engineering lifecycle.

Drive reliability and scalability of TestMu AI's core infrastructure and service workflows.

THE PILLARS OF IMPACT

🚀 1. Platform Reliability (50%)

 – Ensure robust cloud infrastructure and deployment pipelines.

 – Improve observability tools and practices.

 – Automate and streamline service workflows.

 – Enhance platform systems for developer efficiency.

⚙️ 2. Infrastructure Engineering (30%)

 – Build and maintain cloud-based systems.

 – Optimize performance and scalability.

 – Implement infrastructure improvements based on feedback.

🧠 3. Incident Management (20%)

 – Lead incident response with strong SRE principles.

 – Analyze and resolve production issues swiftly.

 – Develop strategies to prevent future incidents.

MUST-HAVES — DO NOT APPLY UNLESS YOU HAVE THESE

 – You must have strong cloud, scripting, and core DevOps fundamentals.

 – You must have hands-on experience with observability tools like New Relic, Sumo Logic.

 – You must demonstrate real coding ability.

 – You must have a strong grasp of incident management and reliability/SRE thinking.

 – You must explain service-layer architecture and reasoning effectively.

THE BAR — WHAT YOU MUST PROVE

Cloud Expertise: Designed and optimized cloud infrastructure for scalability and reliability.

Coding Proficiency: Developed scripts and tools to automate deployment processes.

Incident Management: Led a team to resolve critical production incidents effectively.

Architecture Understanding: Explained complex service architectures to non-technical stakeholders.

Key Responsibilities:

· Generate leads and make cold calls and reference calls to arrange a meeting for discussion.

· Conduct regular visits to schools, colleges, and coaching institutes to promote EdTech products.

· Develop a growth strategy to bring financial gains and delighting clients.

· Suggest ways and means to endorse the products and services of the organization.

· Keep a close tab on the strategic moves made by the competitors.

· Maintain and manage records of sales, revenue, collections, invoices

· Build long-term association with the existing clients and prospects.

· Schedule and conduct product demos for principals, teachers, and decision-makers.

· Prepare bespoke sales contracts

· Attend conferences, exhibitions and fairs to promote the company’s offerings.

· Develop new markets and regions to promote the products and services of the organization.

· Align personal goals with the vision and key objectives of the organization.

· Maintain reports of visits, demos, and closures in CRM.

Key Attributes:

· Excellent communication skills and interpersonal skills.

· Thorough knowledge of the products and services and about the markets.

· Flair to research and keep a tab on changing trends.

· Ability to build relationships

. Good Listener.

· Absolute Professional attitude

· Effective Negotiation skills.

. Willing to travel and must possess two/four-wheeler

· Inspiring team player

· Self-motivated with a result-oriented mindset.

· A true go getter

AI/ML Engineer (Open-Source LLM – BFSI Domain)

Job Title: AI/ML Engineer (Open-Source LLM – BFSI Domain)

Location: Brookefield, Bengaluru

Employment Type: Full-Time

Work Schedule: Monday to Saturday (Alternate Saturdays Off)

Working Hours: 9:00 AM – 6:00 PM (Extendable based on project requirements)

About the Role

We are seeking a talented AI/ML Engineer with hands-on experience in building, fine-tuning, and deploying Open-Source Large Language Models (LLMs) for the Banking, Financial Services, and Insurance (BFSI) domain. The ideal candidate will have practical experience developing production-ready AI solutions and a passion for leveraging Generative AI to solve real-world business challenges.

In this role, you will collaborate with Product, Engineering, and Data Science teams to design intelligent AI solutions that enhance customer experience, automate business processes, and improve operational efficiency.

Key Responsibilities

Design, develop, fine-tune, and deploy Open-Source LLMs for BFSI use cases.

Build AI-powered applications using modern LLM frameworks and orchestration tools.

Collaborate with Product Managers, Data Scientists, and Software Engineers to understand business requirements and deliver scalable AI solutions.

Conduct model experimentation, evaluation, optimization, and performance benchmarking using real-world datasets.

Implement Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and AI workflows where applicable.

Monitor model performance in production environments and continuously improve model accuracy, latency, and scalability.

Ensure AI solutions comply with enterprise security, privacy, and regulatory standards.

Develop APIs and integrate AI models into enterprise applications.

Maintain technical documentation, architecture diagrams, and deployment procedures.

Stay updated with the latest advancements in Artificial Intelligence, Machine Learning, and Open-Source LLM technologies.

Required Qualifications

Education

Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Engineering, or a related technical field.

Equivalent practical experience will also be considered.

Experience

Minimum 2+ years of hands-on AI/ML development experience.

Experience in the BFSI domain is preferred.

Proven experience building and deploying AI/ML solutions in production environments.

Technical Skills

Programming Languages

Python (Mandatory)

Java (Preferred)

AI/ML Frameworks

PyTorch

TensorFlow

Scikit-learn

Open-Source LLM Technologies

Experience with one or more of the following:

LangChain

LangGraph

Ollama

Hugging Face Transformers

Llama

Mistral

DeepSeek

Qwen

vLLM

FastAPI

Generative AI

Prompt Engineering

Fine-Tuning LLMs

Retrieval-Augmented Generation (RAG)

Embeddings

Vector Databases (FAISS, ChromaDB, Milvus, Pinecone, etc.)

Model Evaluation and Optimization

Additional Skills

Docker

Kubernetes (Preferred)

REST APIs

Git

Linux

CI/CD pipelines

Core Competencies

Strong analytical and problem-solving skills.

Excellent understanding of AI/ML concepts and LLM architectures.

Ability to communicate technical concepts to non-technical stakeholders.

Strong interpersonal and collaboration skills.

Self-motivated with a passion for continuous learning and innovation.

Preferred Experience

Experience in any of the following areas will be an added advantage:

Banking & Financial Services applications

Fraud Detection

Credit Risk Assessment

Intelligent Document Processing

Loan Processing Automation

Customer Support Chatbots

Regulatory Compliance

OCR & Document AI

Agentic AI and Multi-Agent Systems

Interview Process

Round 1 – Technical Interview

Conducted by: Senior AI Engineer

Assessment includes:

Python Programming

Machine Learning Fundamentals

Open-Source LLMs

LangChain & RAG

Coding and Problem Sol…

Key Responsibilities 

* Student Counseling: Provide one-on-one and group counseling sessions to students regarding their academic progress, course selection, and personal development

 • Career Guidance: Guide students on career paths, college options, entrance exam preparation, and skill development based on their interests and abilities 

* Student Engagement: Maintain regular communication with enrolled students through calls, emails, and video sessions to ensure their satisfaction and continued learning • Academic Support: Identify struggling students and provide academic interventions, personalized learning plans, and resources to improve performance 

* Performance Tracking: Monitor and analyze student learning outcomes, prepare progress reports, and suggest improvements 

* Retention & Enrollment: Work on student retention strategies and support the enrollment process by addressing queries and concerns of prospective students

 • Collaboration: Work closely with academic teams, instructors, and administrators to ensure holistic student development 

* Feedback Collection: Gather student feedback and suggestions to help improve the platform, courses, and overall learning experience

 • Documentation: Maintain accurate records of student interactions, counseling sessions, and progress in the CRM system 

Required Qualification 

* Bachelor’s degree in any discipline 

* Minimum 1-2 years of experience in student counseling, academic advising, or related roles 

* Excellent communication skills in English (spoken and written); regional languages are a plus (Kannada/Telugu/Hindi) 

* Strong interpersonal skills with the ability to connect with diverse student populations 

* Proficiency with CRM systems and basic computer skills (MS Office, Google Suite) 

* Ability to work 6 days a week, including flexibility to accommodate student meeting schedules

About the Company

Axiamatic is the AI-native control plane for enterprise transformation. Large transformation programs — ERP migrations, CRM rollouts, enterprise-wide operating model changes — have for decades exceeded what any human team can coordinate. Roughly 70% of these multi-year, multi-hundred-million-dollar initiatives fall short of expectations. Misalignments and drift build up quietly, and by the time they surface, the cost is already in.

We're changing that. Axiamatic builds a Living Context Graph — a continuously updated digital twin of a customer's transformation, ingesting structured and unstructured signals from 250+ enterprise systems (SAP, Oracle, Dynamics 365, Salesforce, ServiceNow, Jira, Azure DevOps, Teams, Slack, and more). On top of it, our Transformation Agents detect translation loss, cross-stream drift, and change resistance as they form, and our Playbooks route remediation to the right stakeholder in the tools they already use.

We came out of stealth in March 2026 with $54M from Greylock and Bessemer. Our founders Rajiv Gupta and Kaushik Narayan have done this before — most recently at Skyhigh Networks (acquired by McAfee), where they defined the Cloud Access Security Broker category that Gartner once named the fastest-growing in cybersecurity. Rajiv previously co-founded Confluent Software (Oracle) and Securent (Cisco). Our early customers include the Heico Company and Marmon (a Berkshire Hathaway subsidiary), and we're working with the world's largest systems integrators.

About the Role

You'll be one of the early product managers at Axiamatic, owning a major area of our platform end-to-end and working with our product and engineering leadership, SMEs, and our customers.

This is a rare 0→1 + scale role: the product is in market with reference customers, the platform is real, and the category is wide open.

You'll define how some of the world's most consequential transformation programs are run — what signals we capture, what risks our agents detect, and how guidance reaches executives, PMOs, and change leaders in the flow of their work.

What You'll Do

• Own a major product area end-to-end — strategy, roadmap, execution, and enablement.
• Live with our customers and design partners. Sit in on transformation steering committees, ride along with SI delivery teams, and bring the texture of the work back to engineering and design.
• Drive 0→1 and 1→N in parallel. Take new concepts from problem definition through alpha, beta, and GA while continuing to harden what's already in production at Fortune 500 customers.
• Partner deeply with engineering. Work with engineering scrums to prioritise sprints, groom stories, and make sharp trade-offs across scope, quality, and time. Translate ambiguous customer signals into crisp product specs.
• Shape the Agentic experience. Define how Transformation Agents, the Living Context Graph, and Playbooks come together for executives, PMO leaders, and OCM teams.
• Define and own metrics. Instrument the product, set the bar for adoption and outcomes, and use data to refine the roadmap.
• Be a voice of the company externally. Write blogs, present at customer briefings and partner events, and help shape how the market understands the category we're building.

Requirements

• 5–7 years in product management, with meaningful time at enterprise B2B SaaS companies. Bonus if you've worked on AI/ML and agentic systems.
• A track record of owning a product from inception to launch.
• Strong technical instincts. You don't need to be an engineer, but you should be able to reason about LLM-powered features, distributed systems, data pipelines, and integration architectures, and hold your own in technical tradeoff conversations.
• Customer obsession. You discern signal from noise across customer conversations, market feedback, and product telemetry — and you let data refine your intuition rather than replace it.
• Excellent communication. You write clearly, present confidently to executives, and are equally comfortable in a customer war room, a sprint review, and a partner kickoff.
• Bias for action and comfort with ambiguity. Early-stage pace, continuous iteration, and shipping under uncertainty energize you.
• Lead by example. Humble, low-ego, intellectually honest, and genuinely curious. You raise the bar for the people around you.

Even Better

• Experience building or shipping LLM- or agent-powered products in production.
• Background as an engineer, consultant, or transformation practitioner before becoming a PM.
• Familiarity with the enterprise integration landscape (SAP, Jira, ServiceNow, Salesforce, Workday, Azure DevOps, SharePoint).

About Cutshort:

Cutshort is India’s largest specialised tech hiring platform. Everyday 3000 new engineers sign up on the platform. Over the last 10 years, 4M+ candidates and 1 lakh recruiters from 40,000+ companies have used Cutshort.

Cutshort helps both companies and candidates focus on what actually matters, getting to the priority list faster.

• For companies: We help build a priority list of relevant candidates who can directly move to interview rounds.
• For candidates: We help them get into the priority list of companies so they can land roles faster.

We do this by combining rich candidate data, smart software & sound human judgment. Using AI, we bring all of this together to create a hiring experience that is faster, better, and more cost-effective.

What we offer

• AI hiring platform (subscription model)
• Assisted hiring services (like a recruitment consultant)

Companies such as Fractal, Sprinto, Shiprocket, HighLevel, ThoughtWorks, DeepIntent have built strong engineering teams using Cutshort.

The role:

This is a business growth track role designed for people who want to build strong fundamentals across sales, business, customers, and growth.

You will start by helping build pipeline through outbound efforts, primarily cold calling, LinkedIn outreach, and follow-ups while learning how B2B sales, decision-making, and business growth work in practice.

Over time, based on your performance and strengths, you can grow into specialized roles across various functions.

The first 6–9 months are focused on building core business skills, understanding the market deeply, and proving ownership and execution ability.

Why this role exists:

Most early-career roles make people specialists too quickly.

This role is intentionally designed to help high-potential individuals build strong business fundamentals like understanding customers, markets, communication, execution, and growth first.

The goal is to help you discover and earn your best long-term path within the company based on actual performance and strengths.

What you’ll do:

Build pipeline and create opportunities

• Reach out to companies in our ICP through calls.
• Generate qualified meetings and demos for the sales team
• Understand customer pain points, hiring challenges, and market dynamics
• Develop strong communication and objection-handling skills

Grow into larger responsibilities over time: Based on your performance and strengths, you may gradually move into:

• Closing and account executive responsibilities
• Customer success or account management roles
• Growth and marketing functions
• Product-focused responsibilities

(No fixed timeline — growth is performance-driven.)

What we’re looking for

• Min 3 months of internship experience to 3 years of total experience
• Strong communication skills and high energy
• Comfort with outbound efforts, especially calling
• Ability to think independently, not just follow scripts
• High ownership and consistency
• Strong learning mindset and adaptability

And most importantly:

• You enjoy interacting with people
• You are ambitious and growth-oriented
• You can handle rejection without losing momentum
• You want to build real business skills early in your career

Who should NOT apply

• Unsure about working in fast-paced business roles
• Avoids targets, outreach, or uncomfortable conversations
• Looking for highly repetitive or low-ownership work
• Needs constant hand-holding or direction
• Optimizes for comfort over growth

AI Engineering Lead – Air Cargo Practice

Position Summary

Lead the company's Artificial Intelligence strategy, development, and deployment of AI powered solutions for air cargo revenue management, dynamic pricing, demand forecasting, and optimization. This role combines AI leadership, software engineering, data science, and airline cargo domain expertise to deliver innovative products that improve airline revenue, capacity utilization, and commercial decision-making.

Key Responsibilities -

• Define and execute the AI roadmap aligned with company strategy and product vision.
• Design and deploy AI, Machine Learning, Generative AI, and Agentic AI solutions.
• Build scalable AI platforms, MLOps processes, and governance frameworks.
• Collaborate with product, engineering, commercial, and customer teams.
• Lead and mentor AI engineers and data scientists.
• Support customer engagements, product demonstrations, and thought leadership.

Qualifications -

• Bachelor's or Master's degree in Computer Science, AI, Data Science, Operations Research, Engineering, or related field. -
• 10+ years of experience in AI/ML, software engineering, or advanced analytics.
• 3+ years leading AI, machine learning, or data science teams.
• Expertise in Python, Machine Learning, Deep Learning, Generative and Agentic AI, LLMs, optimization, and cloud platforms
• Experience deploying production-grade AI solutions. - Knowledge of revenue management, pricing, forecasting, or optimization systems.
• Air cargo, airline, logistics, or transportation industry experience preferred. Success Measures
• Deliver AI-powered pricing and revenue optimization capabilities.
• Improve forecast accuracy and pricing effectiveness.
• Launch Agentic AI solutions that automate commercial decision-making.
• Establish scalable AI engineering practices and governance.
• Position the company as an industry leader in AI-driven air cargo revenue management.

Ideal Candidate

A hands-on AI leader who can bridge advanced technology and business value, capable of leading a group of Data Scientists, engaging with airline executives, and delivering innovative AI solutions that drive measurable revenue and profitability improvements.

Title - Sr Engineering Manager

Location –Remote

EGNYTE YOUR CAREER. SPARK YOUR PASSION.

Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 22,000+ customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters that are doers, thinkers, and collaborators who embrace and live by our values:

• Invested Relationships
• Fiscal Prudence
• Candid Conversations

ABOUT EGNYTE

Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com

The Monetization Infrastructure team is responsible for all the systems that power Egnyte’s back office: billing, customer intake, account lifecycle and many others. This highly crucial function combines strong business attachment with technical complexity due to Egnyte’s scale and strong pace of innovation.

WHAT YOU’LL DO:

• Lead the Monetization Infrastructure engineering group, reporting to the Platform Engineering VP.
• Be hands-on and lead from the front; provide technical inputs and direction to the group, acting as a check and balance on key technical decisions and helping shape technical direction. Participate and contribute to system designs and code reviews.
• Ensure high quality operation of the systems under your responsibility. Drive a culture of ownership and continuous operational improvement.
• Collaborate with key stakeholders, such as Finance, Product Management and other Engineering groups, to implement end-to-end use cases and support high quality of service.
• Champion fluent use of AI tools across the team and drive adoption of advanced AI-assisted software development lifecycle (SDLC) practices.

YOUR QUALIFICATIONS:

• Managed engineering teams of 15+ people in SaaS product companies, including experience leading managers.
• Hands-on: understand and be able to contribute to system designs. Past background as a staff engineer or architect with a track record of releasing widely adopted solutions.
• Past background in Python (mandatory) and Java (desirable).
• Understanding of cloud platforms (GCP, Azure or AWS) and infrastructure as code concepts is highly desirable.
• Experience in leading distributed teams.
• Fluent in applying AI tools across the engineering workflow, with a track record of driving advanced AI-driven SDLC adoption within a team.

BENEFITS:

• Competitive salaries
• Company equity depending on role and level
• Medical insurance and healthcare benefits for you and your family
• Fully paid premiums for life insurance
• Flexible hours and PTO
• Gym reimbursement
• Childcare reimbursement
• Group term life insurance

Equal Employment Opportunity

At Egnyte, we celebrate our unique differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Our global Egnyte Employee Communities (EECs) support representation and inclusion across our diverse workplace. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be. 

Any employees with questions or concerns about equal employment opportunities in the workplace are encouraged to bring these issues to the attention of hrategnyte.com. Egnyte will not allow any form of retaliation against employees who raise issues of equal employment opportunity. If employees feel they have been subjected to any such retaliation, they should contact hrategnyte.com. To ensure the workplace is free of artificial barriers, violation of this policy including any improper retaliatory conduct will lead to discipline, up to and including discharge. All employees must cooperate with all investigations conducted pursuant to this policy. 

Job Description: Software Engineer / Core Engineer - Java Full Stack (GCP)

Location: Sholinganallur, Chennai - Work From Office (WFO)only chennai candidate

Experience: 6+ years of IT experience with 4+ years in Software Development [Ideal: 6-10 years]

Education: Bachelor's Degree [B.E./B.Tech or equivalent]

Employment Type: Full Time

About the Role:

This is a Java Full Stack Developer role with a strong GCP requirement. We are looking for a hands-on Software Engineer / Core Engineer to design, build, and scale cloud-native full-stack applications. Java, Spring Boot, Angular, and GCP are mandatory skills for this position.

Mandatory Skills:

• Full Stack Java Development
• Java
• Spring Boot
• Angular
• Google Cloud Platform (GCP)
• REST APIs & Microservices
• Agile Software Development

Preferred Skills:

• Data & Analytics on GCP: BigQuery, Dataflow, Dataproc, Data Fusion, Cloud SQL, PostgreSQL
• Big Data & Orchestration: Apache Airflow, PySpark, Python
• IaC & DevOps: Terraform, Tekton, Maven, Gradle, SonarQube
• Frameworks & Tools: Spring Cloud, APIGEE, Swagger/OpenAPI
• UI/UX Collaboration

Roles & Responsibilities:

1. Design, develop, test, and deploy robust full-stack applications using Java, Spring Boot, and Angular.
2. Build and maintain scalable REST APIs and microservices-based architecture.
3. Develop responsive, high-performance Angular-based UI applications and collaborate with UI/UX teams for seamless user experience.
4. Design software architecture and end-to-end cloud-native solutions on Google Cloud Platform.
5. Work on GCP deployments, infrastructure setup, and cloud migration initiatives.
6. Follow and advocate Agile, TDD, CI/CD, and DevOps best practices throughout the SDLC.
7. Collaborate effectively with Product Owners, Architects, UI/UX teams, and cross-functional stakeholders.
8. Ensure application security, performance optimization, scalability, and high code quality with SonarQube, code reviews, and testing.

Ideal Candidate Profile:

• 6 to 10 years of total IT experience with strong hands-on development background.
• Strong expertise in Java, Spring Boot, Angular, and GCP - must have built production-grade applications.
• Hands-on experience with Microservices, REST APIs, CI/CD pipelines, and Cloud Deployment.
• Experience with Cloud SQL, PostgreSQL, and GCP data services is a plus.
• Good understanding of software architecture, distributed systems, and performance tuning.
• Excellent communication skills and proven experience working in Agile teams.
• Willingness to work from Sholinganallur, Chennai office (WFO).

What We Offer:

• Opportunity to work on cloud-native, large-scale platforms
• Agile and collaborative work culture
• Exposure to modern GCP data stack and DevOps ecosystem

We are hiring for a Python Full Stack Developer |  ProjectPlace | Bengaluru, India

We’re looking for a full-stack engineer — backend-strong, frontend-capable — to join the ProjectPlace team in Bengaluru. You’ll work across the stack: evolving and rebuilding core foundation services (including the Logbook) on the backend, while also contributing to product features end-to-end with React and TypeScript on the frontend. 

Responsibilities:

• Design, build, and maintain scalable backend services in Python, with a focus on quality, performance, and maintainability. 
• Work on foundation services that provide a shared services platform in Planview — rebuilding and evolving them to meet growing product demands. 
• Build and maintain RESTful and GraphQL APIs consumed by frontend clients and external integrations. 
• Own data modelling and query optimization in PostgreSQL. 
• Build and maintain frontend features in React and TypeScript — contributing across the full stack on product initiatives. 
• Collaborate closely with product and design to deliver end-to-end features in an iterative, spec-driven way. 
• Use AI coding tools (Claude, Copilot, Codex) as a core part of your engineering workflow — not as a shortcut, but as a force multiplier. 
• Write clean, well-tested code; contribute to code reviews and help raise the engineering bar on your team. 
• Contribute to architectural decisions and technical direction for your domain. 

Qualifications:

• 4–10 years of professional software engineering experience. 
• Strong Python programming skills — you write idiomatic, production-grade Python. 
• Solid experience with PostgreSQL: schema design, query optimisation, indexing strategies. 
• Experience building and maintaining RESTful services; familiarity with GraphQL is a plus. 
• Working knowledge of React and TypeScript for frontend development. 
• Working knowledge of software design patterns and the ability to apply them pragmatically. 
• Proficiency with test-driven development (TDD) and unit/integration testing practices. 
• Experience working in an agile, collaborative engineering team. 
• Good communication skills — comfortable in async, cross-timezone collaboration

Job Summary:

We are looking for a dynamic and enthusiastic Collection Executive to join our team. The ideal candidate should possess excellent communication skills, a professional telephone manner, and the ability to draft clear and concise emails. This role involves making outbound calls, following up with leads, and maintaining proper communication records.

Key Responsibilities:

• Make outbound calls to potential clients as per the assigned data.

• Follow up with the clients for payment, collection and maintain follow-through.

• Provide accurate information about products/services to generate interest.

• Maintain a record of calls and update the CRM or tracking system regularly.

• Respond to customer inquiries via phone or email in a professional manner.

• Draft professional emails for client communication, follow-ups, or documentation.

• Schedule meetings or appointments when necessary.

• Work closely with the sales or support team for smooth coordination.

Required Skills:

• Good communication skills (both verbal and written)

• Strong interpersonal and convincing ability

• Email drafting skills – ability to write clear and professional communication

• Basic computer knowledge (MS Office, email, data entry)

• Polite, Patience and ability to handle rejections or objections

Great engineers aren’t built by watching.

They’re built by solving real problems.

At AbleCredit, interns don’t work on toy projects or isolated assignments. From your first few weeks, you’ll contribute to production systems used by enterprise customers, collaborate with experienced engineers, and learn what it takes to build reliable software at scale.

If you’re curious, enjoy building things, and want to accelerate your engineering career, we’d love to work with you.

What You’ll Build?

As an Engineering Intern, you’ll work alongside our engineering team to build and improve products used by real customers.

Depending on your interests and the team’s priorities, you’ll:

● Build backend services, APIs, and platform features.

● Develop user-facing features across our web applications.

● Work with databases, cloud services, and third-party integrations.

● Debug production issues and improve system reliability.

● Participate in code reviews and technical design discussions.

● Write clean, maintainable, and well-tested code.

● Learn how modern software is designed, built, deployed, and monitored.

Your work won’t be a demo project—it will ship to production.

What We’re Looking For?

We’re looking for people who enjoy solving problems more than collecting technologies on their résumé.

You’ll likely succeed if you:

● Are pursuing or have recently completed a Bachelor’s or Master’s degree in Computer Science or a related field.

● Have strong programming fundamentals and problem-solving skills.

● Understand data structures, algorithms, and object-oriented programming.

● Are comfortable with at least one programming language such as JavaScript, TypeScript, Python, Java, or Go.

● Understand the basics of databases, REST APIs, and Git.

● Learn quickly and enjoy exploring unfamiliar technologies.

● Communicate clearly and work well in a collaborative environment.

Bonus Points:

Experience with any of these is helpful but not required:

● Node.js, FastAPI, Spring Boot, or Django

● React and modern frontend development

● SQL and NoSQL databases

● AWS, GCP, or Azure

● Docker, Kubernetes, or CI/CD

● AI, LLMs, or workflow automation

Don’t worry if you haven’t worked with everything on this list. We care more about your ability to learn than your current toolkit.

What You’ll Learn?

During your internship, you’ll gain practical experience with:

● Building production software

● Backend engineering and API design

● Modern web application development

● Cloud infrastructure

● Distributed systems and asynchronous workflows

● Software testing and debugging

● Git-based development workflows

● Code reviews and engineering collaboration

You’ll also learn how engineering teams operate inside a fast-moving startup—from

turning ideas into products to shipping features used by customers.

Why Join AbleCredit?

You’ll join a small, high-ownership engineering team where your contributions matter from day one.

You’ll have the opportunity to:

● Build software used by real enterprise customers.

● Receive mentorship from experienced engineers.

● Learn modern engineering practices and tools.

● Work across the backend, frontend, and cloud stack.

● Take ownership of meaningful features instead of isolated tasks.

● Convert your internship into a full-time engineering role based on your

performance and available opportunities.

We Think You’ll Enjoy This Role If...

● You build side projects because you enjoy learning.

● You like understanding how systems work—not just using them.

● You’re excited to write code that reaches production.

● You ask questions, experiment, and learn quickly.

● You want an internship where you’ll build, not just observe.

Job Title: Manager - Product, Finance & Actuarial

Role: Domain Expert / Specialist – Fund Accounting & Portfolio Management

Location: Hyderabad

Job Type: Full-time

Job Summary

We are looking for a highly analytical and detail-oriented Domain Expert/Specialist in Fund Accounting & Portfolio Management to join our Product, Finance & Actuarial team. The ideal candidate should possess strong expertise in fund accounting, portfolio management services (PMS), investment operations, financial analysis, and reconciliation processes.

In this role, you will work closely with business stakeholders and the engineering team to translate complex financial and investment workflows into scalable product solutions. You will also lead analysts, drive process improvements, ensure quality deliverables, and support the development of financial products and reporting solutions.

Key Responsibilities

• Act as a subject matter expert in Fund Accounting, Portfolio Management Services (PMS), investment operations, and financial reporting.
• Understand client requirements, regulatory guidelines, compliance needs, and investment workflows, and translate them into clear business and functional requirements.
• Collaborate with cross-functional teams to enhance financial products and automate operational workflows.
• Conduct detailed financial analysis to support product development, business decisions, and operational improvements.
• Develop, validate, and maintain financial models, including portfolio valuations, cash flows, NAV calculations, reconciliations, and performance reporting.
• Analyze financial data, identify trends, investigate variances, perform reconciliations, and recommend process improvements.
• Prepare reports, dashboards, presentations, and analytical insights for internal stakeholders and clients.
• Investigate portfolio, accounting, and reconciliation issues, providing timely resolutions and communicating findings effectively with clients and stakeholders.
• Lead, mentor, and manage analysts while ensuring timely delivery, accuracy, and quality of work.
• Create and maintain documentation for financial models, business processes, workflows, and product requirements.
• Support senior management with business analysis, product enhancements, and strategic initiatives.

Requirements

Qualifications & Skills

• Bachelor's degree in Finance, Accounting, Commerce, Economics, Mathematics, Statistics, or a related discipline.
• Professional qualifications such as CA, CFA, CPA, FRM, CMA, MBA (Finance), or equivalent will be an added advantage.
• 4–8 years of experience in Fund Accounting, Portfolio Management Services (PMS), Asset Management, Investment Operations, Financial Analysis, or similar domains.
• Strong understanding of fund accounting principles, portfolio accounting, financial statements, investment products, and reconciliation processes.
• Experience in financial modelling, reporting, and analytical problem-solving.
• Advanced proficiency in Microsoft Excel and MS Office applications (Word, PowerPoint, Email).
• Experience working with financial systems, investment platforms, or portfolio management applications is preferred.
• Strong analytical, quantitative, and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Ability to lead teams, manage multiple priorities, and deliver high-quality results within deadlines.
• Strong attention to detail with a continuous improvement mindset.

We are seeking a Full Stack Technology Solutions Engineer with 3–5 years of hands-on software development experience who is passionate about exploring new technologies and solving business problems through rapid prototyping. The role focuses on evaluating technology solutions, building proof-of-concept (POC) applications, validating third-party integrations, and assessing the technical feasibility of business requirements before production implementation.

Responsibilities:

• Understand business requirements and convert them into technical solution options.
• Research, evaluate, and compare SaaS products, AI platforms, cloud services, and enterprise applications.
• Develop POCs and prototypes to validate technical feasibility.
• Build and test integrations using REST APIs, webhooks, SDKs, and authentication mechanisms.
• Perform technical, scalability, security, and cost feasibility assessments.
• Prepare solution comparison reports, architecture diagrams, and technical recommendations.
• Collaborate with business users, vendors, and engineering teams during evaluations.
• Identify technical risks, assumptions, and implementation dependencies.
• Support engineering teams in transitioning successful POCs into production.
• Maintain clear technical documentation.

Criteria:

·      Bachelor's degree in Computer Science, Information Technology, or a related field.

·      3–5 years of hands-on experience in software development, integration engineering, or solution engineering.

·      Strong coding skills in Python, Node.js, Java, or C#.

·      Experience working with REST APIs, JSON, OAuth, webhooks, and API testing tools.

·      Hands-on exposure to AWS or another major cloud platform.

·      Experience with Git, Docker, and SQL databases.

·      Excellent analytical, troubleshooting, and communication skills

·      Comfortable collaborating across product, engineering, and business teams

·      Excellent communication, problem-solving, and stakeholder management skills.

Preferred Skills

• Exposure to OpenAI, Gemini, Claude, or other AI/LLM platforms.
• Experience evaluating third-party enterprise software.
• Basic knowledge of Kubernetes, Terraform, CI/CD, Redis, or Kafka.

Ability to create architecture diagrams and technical proposals

About Blitzy

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.

Location: Pune, India (In-Person) - Must be able to also support USA business hours

The Role

The role is to support our clients and ensure a stable environment across the full lifecycle: installation, ongoing upgrades, and day-to-day operation. The L2 Support Engineer works alongside L1 to triage and resolve issues, and escalates unresolved defects to engineering. It operates across Kubernetes, Docker, and the major cloud providers.

What Success Looks Like

• Customers' issues are resolved faster and escalated cleaner.
• Recurring problems turn into runbooks, dashboards, and alerts, not repeat tickets.
• Engineering trusts your escalations because they come with proof, not guesses.
• Customers trust your communication because it's clear, honest, and on time.

Areas of Ownership

• Deploy and install the platform into customer environments, and troubleshoot installation issues.
• Support ongoing upgrades and day-to-day operation, keeping customer environments stable.
• Work alongside L1 to triage and resolve customer-reported issues, driving them to resolution or escalation.
• Diagnose failures across the stack: compute, networking, storage, and the services running on it.
• Reproduce issues safely against live (often multi-tenant) environments using read-only diagnostics first.
• Build and maintain dashboards, monitors, and runbooks so recurring issues get faster to fix: or stop recurring.
• Write up clear, evidence-backed escalations and post-incident notes.
• Communicate status and resolution to customers clearly and on time.

Required Experience

• Distributed-systems debugging. Reason about a request crossing multiple services, queues, and network hops, and isolate which hop failed. You debug by forming a hypothesis and confirming it with evidence (logs, pod state, queue depth, DB rows), not by guessing.
• Kubernetes & Docker.
• Major cloud providers: GCP, AWS, and Azure. Hands-on with at least one deeply and able to work across the others: managed Kubernetes (GKE/AKS), cloud logging, IAM/auth basics, and cloud disk/storage behavior.
• Strong monitoring & observability practice. Fluent with an APM/observability stack (Datadog or equivalent): log queries, correlating across services by request/trace IDs, reading traces, and building dashboards and alerts. You reach for the data before theorizing.

Additional Skills & Experience

• Python and Redis literacy.
• Basic message queueing. Command transport runs over a message queue (Redis/rq). Comfort inspecting queue depth, backlogs, and stuck/failed jobs; concepts transfer from any broker.
• Networking & WebSockets. Many of our hardest issues are connection problems: WebSocket/Socket.IO drops, NAT/idle/LB timeouts, half-open sockets, DNS-vs-routing, TLS. Tell a transport fault from an application fault.
• SQL / PostgreSQL. Query operational tables to confirm what the system recorded.
• Source-control platforms. GitHub (incl. GitHub Enterprise Server), Azure DevOps, and/or GitLab, clone/push/pull, access tokens, app credentials, and their failure modes.
• CI/CD, Helm & deploy integrity. Many "sudden regressions" are a bad or partial deploy: check what version is actually running before chasing architecture theories. Helm and container deploy pipelines expected. ArgoCD is a plus.
• Secrets management. Comfort handling secrets, credentials, and certificates safely, ideally with Vault (strongly preferred).
• Linux and Windows. Workloads run on both; comfort triaging on each OS (process inspection, filesystem, basic networking).
• Methodical, evidence-first temperament. Hold several candidate causes at once, run the cheapest disconfirming check first, and never claim a root cause or fix you haven't proven.
• Multi-tenant safety mindset. Environments are shared and customer-owned: default to read-only diagnostics and understand blast radius before changing anything.
• Incident management & ticketing workflows: Jira or similar (a plus).
• Prior customer-facing support or SRE/on-call experience (a plus).

Hours & On-Call: please read

This is a customer support role, and the hours can be unconventional. Customers operate primarily in US time zones, so coverage is anchored to US business hours (roughly ET–PT). If you're based outside the US, expect your working day to shift accordingly.

Incidents don't keep office hours. Expect a rotating on-call schedule and occasional evening, early-morning, or weekend escalations outside a standard 9–5. We structure for it: rotations are shared fairly, on-call is compensated/time-off-in-lieu per policy, and we protect recovery time after heavy incidents.

If you're not comfortable with US-aligned hours and periodic off-hours on-call, this likely isn't the right role, and that's completely fine.

Our Culture

Who we are:

Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.

How we work:

We move Blitzy Fast: Time is both our company's and our clients' most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.

Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.

Passion for Invention: We're pushing the frontier of what's possible, requiring constant innovation and iteration.

We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.

We believe in being 'everyday athletes'—taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for optimal mental performance. It makes for a happier and more productive team.

Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.

About CombineHealth

CombineHealth builds AI employees for healthcare revenue cycle management — agents that automate medical coding, billing, eligibility checks, denial management, and appeals for hospitals and physician groups across the US. Our platform runs in production at 97%+ coding accuracy across live customers, integrated with Epic, Cerner, athenahealth, and other major EHRs.

Before You Apply — Read This First

4 days/week in our HSR Layout, Bangalore office. Remote or fully-hybrid-light setups won't work for this team.

Regular overlap with US business hours. Our customers, most of our leadership, and key stakeholders are US-based. You'll need flexibility for calls and collaboration that land in US morning/afternoon (India evening/night) on a recurring basis, not occasionally.

If either of these is a dealbreaker, save yourself and us the time — this isn't the role.

What You'll Actually Do

This is an agent-engineering role. Our systems are LLM-based agents, and the hard part isn't training models — it's making autonomous, multi-step systems reliable and auditable on regulated, high-stakes data. You'll build the agents and own getting them into production reliably. Roughly:

• Build AI agents that read unstructured clinical and claims documentation and produce structured, auditable outputs — codes, claim decisions, denial root causes, appeal drafts
• Design the agent architecture: multi-step orchestration, tool/function calling, retrieval, and context engineering — plus the prompt and evaluation loop that makes it reliable, not just good in a demo
• Build eval harnesses and regression suites with hard accuracy bars. "The eval moved" is the unit of progress here — if you can't measure whether a change helped, it didn't happen
• Own reliability and observability in production: tracing, logging, latency, cost, failure handling — and yes, the pager when your agent breaks at 11pm US time
• Design confidence-threshold and human-in-the-loop review systems — this is regulated, high-stakes data; "mostly right" isn't good enough, and every decision needs a traceable rationale
• Work directly with product and RCM domain experts to translate messy real-world payer behavior into agent requirements
• Own your systems end-to-end: if it breaks in production, you're the one who gets paged, not someone else

What We Need

• 5+ years shipping production software, with real depth building LLM-based systems — agents, RAG, structured extraction. Production systems with real users and real data, not POCs or research. Tenure in classical ML or CV is not what we're screening for.
• Strong engineering fundamentals. You write production-grade Python, not notebooks. You design systems, handle failure paths, and care about latency and cost.
• Fluency in the LLM application stack: prompt and context engineering, tool/function calling, retrieval, and — most important — eval-driven development. You know how to measure whether a change actually improved the system.
• Comfortable owning your system in production end-to-end: deployment, observability, tracing, debugging live issues, cloud (AWS/GCP/Azure). We're not expecting a dedicated infra specialist, but you own your agent in production — you don't throw it over a wall.
• Experience with unstructured/messy real-world text where the output has to be accurate and explainable. Healthcare is a bonus, not a requirement — legal, financial services, insurance, or other high-stakes-accuracy domains count.
• Demonstrated ability to work independently and make judgment calls. We will not micromanage you, and we need people who don't need it.
• Comfortable in a fast-moving startup environment: ambiguity, shifting priorities, and building things that don't have a textbook answer yet.
• Degree from a Tier-1 engineering institute (IIT/IISc or equivalent) is a plus, but we care far more about what you've shipped than where you studied

Nice to Have (Not Required)

• Exposure to healthcare claims, medical coding (CPT/ICD-10/HCPCS), or RCM workflows
• Experience in a regulated data environment (HIPAA, SOC 2, or similar)
• Fine-tuning, distillation, or building smaller task-specific models where a general LLM is too slow or expensive

What Success Looks Like in 6 Months

• You own at least one production model/agent end-to-end — from data to deployment to monitoring
• You've meaningfully improved an accuracy, latency, or automation-rate metric on a live customer workflow
• You can independently debug a production issue in your system without pulling in a senior engineer to hold your hand

How to Apply

Please click on the link and fill in the details: https://forms.gle/sM2yRHGzxxWH4kVG7 

Company Name: WINIT

Location: Hyderabad

Experience: 0–2 Years

Role Overview

We are looking for a talented AI/ML Trainee to build intelligent automation solutions for Legal Process Outsourcing (LPO). The role involves leveraging Python, SQL, AWS, and Generative AI (LangChain, LLMs, RAG) to automate document-heavy workflows such as contract analysis, data extraction, and legal document processing.

Key Responsibilities

• Develop and deploy AI/ML models for legal document processing and automation.
• Build Python-based pipelines for data processing, automation, and model integration.
• Design and optimize SQL queries for efficient data management and reporting.
• Work with AWS services (S3, Lambda, EC2, Bedrock, etc.) for scalable deployments.
• Develop Generative AI solutions using:
• LangChain
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Implement document intelligence solutions (classification, summarization, entity extraction).
• Integrate AI models into business applications via APIs.
• Collaborate with cross-functional teams to understand automation needs.
• Ensure model performance, scalability, and data security.

Required Skills

• Strong proficiency in Python 
• Good knowledge of SQL.
• Understanding of machine learning fundamentals.
• Hands-on or conceptual knowledge of:
• LangChain
• LLMs
• RAG architectures
• Familiarity with AWS cloud platform.
• Basic understanding of NLP / text processing.

About WINIT

For more information, please visit: www.winitsoftware.com

Position Title : Software Engineer

Position Type: Full-Time

Department: Research & Development

Reports To: First Level Manager,

Company Background:

Affiliated with US Group companies, CGLIA Solutions LLP is an innovative Software Product Development organization developing highly available, highly secure, cloud-based enterprise software products catering to the needs of leading Research Facilities, University Medical Centers, Hospitals, and Pharmaceutical companies across the globe, ultimately contributing to the development of life-saving medications.

CGLIA is committed to helping software professionals unleash their creativity, build world-class enterprise applications, and accelerate their careers in a collaborative and innovation-driven environment.

Job Summary :

As a Software Engineer (Java), you will be responsible for designing, developing, and maintaining scalable, secure, and high-performance cloud-based enterprise applications. You will work closely with Product Management, Business Analysts, QA, DevOps, and cross-functional engineering teams to deliver innovative software solutions that exceed customer expectations.

The ideal candidate should be a self-starter with excellent analytical and problem-solving skills, strong expertise in Java backend technologies, and a passion for developing high-quality software. This role also provides an opportunity to mentor junior engineers, participate in technical discussions, and contribute to architectural decisions.

Key Responsibilities

• Participate in requirement analysis and collaborate with Product Management to understand functional and non-functional requirements.
• Contribute to technical design discussions and prepare technical design documentation.
• Design, develop, test, and maintain scalable backend applications using Java and Spring Boot.
• Develop and maintain RESTful APIs and Microservices.
• Write clean, reusable, maintainable, and well-documented code following industry best practices.
• Optimize application performance, scalability, reliability, and security.
• Perform unit testing, code reviews, debugging, and production issue resolution.
• Collaborate with QA, DevOps, UI, and Product teams throughout the software development lifecycle.
• Mentor junior engineers and actively contribute to knowledge sharing within the team.
• Stay updated with emerging technologies, frameworks, and software development best practices.
• Participate in technical interviews and hiring activities to support organizational growth.
• Undertake additional responsibilities as required to achieve project and organizational objectives.
• 
  

Qualifications (Education, Experience, Skills & Knowledge)

• Bachelor's degree in Computer Science, Information Technology, or an equivalent discipline.
• 5+ years of hands-on experience in Java application development.
• Strong expertise in Core Java (Java 8/11/17) and Object-Oriented Programming concepts.
• Extensive experience with Spring Boot, Spring MVC, Spring Data JPA, Spring Security, and Hibernate.
• Strong experience designing and developing RESTful APIs and Microservices.
• Experience working with relational databases such as MySQL, PostgreSQL, Oracle, or MS SQL Server.
• Good understanding of Data Structures, Algorithms, Design Patterns, and Multithreading.
• Angular, Bootstrap, Material Design, HTML5, CSS, JavaScript
• Hands-on experience with Git, Maven/Gradle, and Agile/Scrum development methodologies.
• Experience with code quality tools such as SonarQube and static code analysis.
• Exposure to Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP) is preferred.
• Knowledge of messaging systems such as Kafka or RabbitMQ is an added advantage.
• Strong analytical, troubleshooting, and debugging skills.
• Excellent written, verbal, and interpersonal communication skills.
• Ability to work independently and collaboratively in a fast-paced product development environment.
• Eagerness to learn and adopt new technologies.

We're hiring a Content Creator Intern at AM:PM.

AM:PM is short-form news for people who left the news behind. Every story gets two sides: The Take and The Flip. We're pre-launch and building our content engine from zero.

If you're always on your phone shooting, if a story breaks and you already have the video in your head, if you can shoot it, cut it, and post it before anyone else has finished talking about it, this is built for you.

You don't need years of experience. You need speed and instinct. We'll teach you the rest: how we tell a story in under 120 seconds, how The Take and The Flip work, how to make a video people actually finish.

What you'll be doing:

• Shooting content on your phone, fast, the moment a story breaks
• Turning a news idea into a finished vertical video the same day
• Editing your own edits, start to finish
• Posting across Instagram, YouTube, and X
• Working shoulder to shoulder with editorial to catch stories early

Who fits:

• You shoot and edit on your phone daily and it shows
• You react fast, a breaking story excites you, not stresses you
• You know what makes the first 3 seconds worth staying for
• You live on short-form and get news and the Gen Z audience

The honest part: pre-launch means long hours, late nights, and plans that change daily. If that excites you rather than scares you, you'll love it here.

This is a full-time, in-office role in Mumbai (Andheri).

What We Are Looking For

CLOUDSUFI is seeking a senior, hands-on AI Platform Architect to design and build production-grade platforms for generative AI, agentic systems, data-intensive applications, and analytical workflows. This is a builder-architect role. The successful candidate will define architecture, make technology decisions, develop reference implementations, review critical code and designs, and guide engineering teams from prototypes to secure, scalable production systems. We are looking for a builder-architect with strong engineering judgement and practical delivery experience. The right candidate can define platform direction, evaluate trade-offs, validate ideas through implementation, and guide systems into production. They should be equally comfortable discussing distributed architecture, reviewing code, diagnosing workflow failures, designing evaluation systems, and mentoring engineering teams.

Key Responsibilities-

AI and Agentic Platform Architecture

• Design platforms for single-agent and multi-agent systems supporting planning, reasoning, tool use, memory, delegation, validation, and human approval.

• Define orchestration patterns for deterministic, dynamic, event-driven, and long-running AI workflows.

• Establish clear boundaries between LLM reasoning, application logic, quantitative computation, rules, and human decision-making.

• Evaluate and adopt agent frameworks, model providers, tools, and orchestration technologies based on reliability, flexibility, performance, and cost. Knowledge and Data Systems

• Architect RAG pipelines, document-processing systems, vector search, hybrid retrieval, knowledge graphs, and semantic data layers.

• Integrate structured and unstructured enterprise data from APIs, databases, files, streams, and external platforms.

• Design reusable workflows for research, data collection, transformation, analysis, modelling, validation, and reporting.

• Establish data lineage, provenance, metadata, access controls, freshness, and quality standards. Evaluation, Observability and Governance

• Build evaluation frameworks for accuracy, relevance, groundedness, task completion, tool use, safety, latency, and cost.

• Enable systematic experimentation across models, prompts, agents, tools, retrieval strategies, and orchestration patterns.

• Implement versioning and lifecycle management for prompts, agents, workflows, datasets, knowledge bases, evaluations, and model configurations.

• Establish tracing, monitoring, auditability, guardrails, approval workflows, and production quality diagnostics.

Cloud and Platform Engineering

• Define cloud-native architectures using microservices, APIs, event-driven systems, queues, schedulers, and distributed processing.

• Lead Kubernetes-based deployment, containerisation, CI/CD, Infrastructure as Code, environment management, and release automation.

• Design for horizontal scalability, fault tolerance, resilience, security, data privacy, and high availability.

• Optimise model usage, infrastructure, storage, retrieval, and compute for performance, latency, and cost.

Technical Leadership

• Translate product and business requirements into clear technical designs and implementation plans.

• Build prototypes and reference implementations for high-risk or foundational platform capabilities.

• Review architecture, code, interfaces, data models, infrastructure, and operational readiness.

• Define engineering standards and reusable patterns across AI, backend, data, and platform teams.

• Mentor senior engineers and support teams in resolving complex technical and production issues.

Required Skills and Experience

• 10+ years of experience in software architecture, platform engineering, distributed systems, data platforms, or AI systems.

• Strong hands-on experience designing and building production-grade AI or data-intensive platforms.

• Deep understanding of LLM applications, tool calling, structured outputs, RAG, embeddings, memory, and agent orchestration.

• Strong experience with cloud platforms, Kubernetes, containers, microservices, APIs, event driven architecture, CI/CD, and Infrastructure as Code.

• Experience with relational, document, graph, vector, and distributed data systems.

• Practical experience implementing AI evaluation, experimentation, tracing, monitoring, guardrails, and lifecycle management.

• Strong understanding of security, identity, access control, secrets management, data protection, and production reliability.

• Ability to move effectively between architecture, code, infrastructure, debugging, and technical delivery.

Good to Have

• Experience building enterprise AI copilots, autonomous workflows, research platforms, or analytical systems.

• Experience with knowledge graphs, hybrid search, model gateways, tool gateways, or agent marketplaces.

• Familiarity with LLMOps, MLOps, model serving, feature stores, model registries, and distributed compute.

• Experience supporting real-time and batch data processing at scale.

• Experience comparing and operating multiple commercial and open-source models.

• Prior experience in consulting, client-facing architecture, or complex enterprise platform delivery. 

As a full-time Software Developer, they will be responsible for designing and developing new features and integrating APIs to fulfil product requirements. In addition to hands-on development, they will also be involved in development testing and ensuring that releases are thoroughly tested and published. 

Roles and Responsibilities 

• Work on development tasks, focusing on new features and API integration   
• Perform development testing to ensure functionality and performance   
• Publish releases after thorough testing and validation   
• Continuously improve the quality and efficiency of the development process   
• Provide technical assistance and resolve issues faced by the team   

Required Skills 

• Strong proficiency in web development technologies (C#, C++, MongoDB, etc.) 
• .NET Developers 
• SQL Knowledge and Java   
• Experience with API integration  
• Solid understanding of development testing methodologies 
• Experience with version control systems like Git   
• Strong problem-solving skills and attention to detail   
• Excellent communication and mentoring abilities   
• Ability to work independently and as part of a team 
• Must belong to Fintech domain
• Solid understanding of Share Market

About Nerve Solutions

Nerve Solutions is a team of engineers building products for real-time risk management and surveillance in financial markets. Our solutions enable market participants to identify, monitor, and quantify risks and anomalies in live markets, allowing them to take corrective action at sub-second speeds.

We also develop products for automated trading and have become a trusted technology partner to some of the largest financial services organizations in the region.

About the Role

We are looking for a proactive and detail-oriented IT & Information Security Engineer to manage and maintain the organization's IT infrastructure while ensuring the security, availability, and reliability of our systems. The role involves providing technical support, administering hardware and software, strengthening cybersecurity practices, monitoring network activities, and implementing security controls to safeguard organizational assets.

The ideal candidate should have strong infrastructure knowledge, a security-first mindset, and the ability to troubleshoot technical issues while continuously improving the organization's IT environment.

Roles & Responsibilities

• Manage and maintain the organization's IT infrastructure, including hardware, software, servers, and network systems.
• Provide technical support to employees by troubleshooting hardware, software, network, and system-related issues.
• Configure, deploy, and maintain desktops, laptops, peripherals, printers, and other IT equipment.
• Set up user accounts, systems, and required software for new employees and support onboarding activities.
• Monitor network performance and employee network activities to ensure system security and compliance.
• Implement and maintain endpoint security solutions, antivirus tools, firewalls, and access control mechanisms.
• Perform regular system updates, security patching, vulnerability assessments, and preventive maintenance.
• Identify infrastructure risks and recommend security enhancements to minimize vulnerabilities.
• Maintain documentation for IT assets, software licenses, network configurations, security policies, and system inventories.
• Assist in implementing information security best practices, security audits, and compliance initiatives.
• Coordinate with internal teams to ensure IT services effectively support business operations.
• Stay updated with the latest cybersecurity threats, technologies, and industry best practices.

Required Skills

• 2–4 years of experience in IT Infrastructure, System Administration, or Information Security.
• Strong knowledge of Windows operating systems, networking, servers, and IT infrastructure.
• Experience troubleshooting hardware, software, network, and user-related issues.
• Knowledge of network security, endpoint protection, firewalls, VPNs, and vulnerability management.
• Experience with Active Directory, user access management, and system administration.
• Familiarity with Microsoft 365 administration is an added advantage.
• Understanding of backup, disaster recovery, and IT asset management.
• Strong analytical and problem-solving skills with attention to detail.
• Good communication and documentation skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications

• Bachelor's degree in Information Technology, Computer Science, or a related field.
• Certifications such as CompTIA A+, Network+, Security+, Microsoft, CCNA, or equivalent will be an added advantage.

Job Description

Marketing Executive / Marketing Manager

Department: Marketing

Location: Bangalore

About the Role

We are seeking a dynamic and results-driven Marketing Executive / Marketing Manager to lead channel marketing initiatives that drive partner engagement, enhance brand visibility, and support business growth. The role is responsible for planning and executing marketing campaigns aligned with the sales calendar, enabling the sales team with effective marketing collateral, and ensuring consistent communication with channel partners.

The ideal candidate will collaborate closely with Sales, Product, Design, and Leadership teams to build impactful marketing programs that improve partner participation, generate demand, and strengthen product adoption.

Key Responsibilities

Channel Partner Marketing

• Develop and execute marketing initiatives focused on engaging channel partners.
• Manage partner communication through WhatsApp, email campaigns, push notifications, newsletters, and other digital channels.
• Build and maintain a consistent communication calendar to improve partner awareness and engagement.

Campaign Planning & Execution

• Plan and execute marketing campaigns aligned with the sales and product calendar.
• Drive product launch campaigns, incentive and payout campaigns, seasonal promotions, and business initiatives.
• Monitor campaign performance and optimize campaigns based on engagement metrics and business outcomes.

Sales Enablement

• Create and maintain high-quality marketing collateral, including:
• Product brochures
• Sales presentations and pitch decks
• One-pagers
• Banners and promotional creatives
• Product FAQs
• Campaign communication materials
• Ensure the sales team has access to updated marketing assets that support customer acquisition and partner engagement.

Regional Marketing Support

• Partner with regional sales teams to execute localized marketing initiatives.
• Support field marketing activities, partner events, webinars, roadshows, and activation campaigns.
• Customize campaigns and collateral based on regional business requirements.

Cross-Functional Collaboration

• Work closely with Sales, Product, Design, Operations, and Leadership teams to ensure timely campaign execution.
• Gather feedback from sales teams and channel partners to continuously improve marketing effectiveness.

Reporting & Analytics

• Track campaign performance using predefined KPIs.
• Prepare regular reports on campaign engagement, partner participation, lead generation, and overall marketing effectiveness.
• Recommend improvements based on campaign analytics and business feedback.

Key Performance Indicators (KPIs)

• Campaign engagement and reach
• Partner participation and activation
• Lead generation support for the sales team
• Product campaign adoption
• Sales enablement effectiveness
• Timely delivery of marketing campaigns
• Quality and effectiveness of marketing collateral
• Regional campaign execution success
• Feedback and satisfaction from channel sales teams

Qualifications

Education

• Bachelor's degree in Marketing, Business Administration, Communications, or a related discipline.
• MBA in Marketing is preferred.

Experience

Marketing Executive

• 1–4 years of experience in marketing, preferably in B2B, FinTech, Financial Services, or Channel Marketing.

Marketing Manager

• 5–8 years of experience managing marketing campaigns, partner engagement, and sales enablement initiatives.

Required Skills & Competencies

• Strong campaign planning and execution capabilities.
• Excellent written and verbal communication skills.
• Experience managing email marketing, WhatsApp campaigns, and digital communication channels.
• Ability to create compelling marketing collateral and presentations.
• Strong stakeholder management and cross-functional collaboration skills.
• Analytical mindset with the ability to interpret campaign performance and recommend improvements.
• Excellent project management and organizational skills.
• Proficiency in Microsoft Office and Google Workspace.
• Experience with CRM and marketing automation platforms is preferred.
• Familiarity with Canva, Adobe Creative Suite, or similar design tools is an advantage.

Preferred Industry Experience

• FinTech
• Financial Services
• Wealth Management
• Investment Platforms
• Banking & NBFC

Success in This Role

A successful candidate will:

• Drive consistent engagement with channel partners through structured marketing initiatives.
• Execute high-impact campaigns aligned with business and sales objectives.
• Improve product awareness and partner participation.
• Enable the sales team with timely and effective marketing collateral.
• Support lead generation and revenue growth through strategic marketing programs.
• Build a scalable partner marketing engine that strengthens brand recall and business performance.

IT Support Engineer / Helpdesk Engineer

Location: Pune, Maharashtra

Experience: 4–5 Years

Employment Type: Full-time

Job Summary

We are looking for a proactive and customer-focused IT Support Engineer to manage day-to-day IT operations, endpoint management, and user support. The ideal candidate will play a key role in maintaining endpoint security, supporting ISO 27001 compliance initiatives, managing IT assets, and ensuring smooth IT service delivery across the organization.

Key Responsibilities

• Provide day-to-day IT support for laptops, desktops, operating systems, and business applications.
• Install, configure, troubleshoot, and maintain IT hardware and software.
• Manage endpoint devices, including provisioning, patching, antivirus, and security compliance.
• Support ISO 27001 initiatives by maintaining IT assets, documentation, and compliance-related activities.
• Maintain IT asset inventory, software licenses, and device lifecycle records.
• Coordinate with Infrastructure, Security, and Application teams to resolve technical issues and ensure system availability.
• Handle user incidents and service requests, escalating complex issues when required.
• Assist in implementing and enforcing IT security policies and best practices.

Required Skills & Qualifications

• 4–5 years of experience in IT Support, Helpdesk, or Desktop Support.
• Hands-on experience with Windows operating systems, endpoint management, hardware troubleshooting, and basic networking.
• Familiarity with endpoint management, patch management, antivirus/EDR solutions, and IT asset management.
• Exposure to ISO 27001, information security practices, or IT compliance activities is preferred.
• Good understanding of IT service management processes (Incident, Request, and Change Management).

We are hiring for a Senior Data Scientist II

Location: Bengaluru, India | Work Style: Hybrid (2 days/week in office) | Experience: 8+ years

About the Role:

We're on a journey to put AI at the center of how strategic decisions are made, and we're looking for a Senior Data Scientist to help lead the way.

You'll work on real, in-production AI experiences like Planview Anvi, used by enterprises to turn complex portfolios of work into clear, confident action. You'll join a team thinking years ahead about where AI and enterprise work are going, with the ownership to turn that vision into products customers rely on every day.

What You'll Work On:

• Natural language interaction — building systems that let users simply ask, and get instant, trustworthy insights
• Proactive intelligence — developing models that surface risks and opportunities before they surface themselves
• Adaptive decisioning — helping teams adjust course in real time as conditions change

Why This Role:

Most data science roles are about building models. This one is about building the intelligence layer that an entire category of enterprise software is being rebuilt around.

At Planview, we help the world's largest organizations plan and deliver their most important work, and we're in the middle of a multi-year push to put AI at the core of how those decisions get made.

As a Senior Data Scientist based in Bengaluru, you'll be hands-on shaping AI experiences already in production and used by real enterprises — like Planview Anvi — while helping define what comes next.

• Real users, real scale: your work ships to enterprise customers managing billions of dollars of work — not a demo, not a backlog experiment
• Frontier problems: natural-language interfaces over messy enterprise data, models that flag risk before humans see it, and systems that adapt plans as reality shifts
• Ownership, not hand-offs: you'll influence direction, not just execute tickets — senior enough to shape the roadmap, close enough to the product to see your work land
• A team playing the long game: we're building for where enterprise AI is going over the next several years, and want someone who wants to help steer that

Responsibilities:

• Enable Data Science features within Planview applications, working in a fast-paced startup mindset
• Collaborate closely with product management to enable Data Science features that deliver significant value to customers, ensuring these features are also optimized for operational efficiency
• Manage every stage of the AI/ML development lifecycle, from initial concept through deployment in a production environment
• Design and implement optimization models (e.g., resource-constrained scheduling, portfolio/project selection, simulation-based decision support) to solve complex planning and allocation problems at enterprise scale
• Contribute to agentic AI features — forecasting, risk-scoring, and recommendation models that power AI agents embedded in Planview products
• Provide leadership to other Data Scientists by exemplifying exceptional quality in work, nurturing a culture of continuous learning, and offering daily guidance in their research endeavors
• Effectively communicate ideas drawn from complex data with clarity and insight

Required Qualifications:

• Master’s degree in operations research, Statistics, Computer Science, Data Science, or a related field
• 8+ years of experience as a data scientist, data engineer, or ML engineer
• Demonstrable history bringing Data Science features to enterprise applications
• Exceptional Python and SQL coding skills — production-grade, not notebook-only
• Strong grounding in optimization (linear/integer programming, simulated annealing, heuristics, or similar) alongside Machine Learning, Generative AI, NLP, Statistics, and Simulation
• Experience with AWS Data and ML technologies (SageMaker, Glue, Athena, Redshift)
• Experience designing and building tool/service interfaces that other systems (including AI agents) can invoke reliably — API/service contract design, schema definition, and testing discipline
• Working understanding of agentic AI system architecture — how agents discover and call tools, how actions are scoped and tracked, and how outputs feed back into planning workflows.

Preferred Qualifications

• Experience working with datasets in the domain of project management, software development, and resource planning
• Experience with common data science libraries and frameworks (Scikit-learn, TensorFlow, PyTorch)
• Experience with ML platform tools (AWS SageMaker)
• Hands-on experience with MCP (Model Context Protocol) or similar tool-calling/agent-orchestration standards (e.g., A2A, LangChain tool interfaces)
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex) and vector database experience (Pinecone, Weaviate, OpenSearch)
• Exposure to evaluation frameworks for GenAI features
• Prior experience mentoring or leading data scientists
• Comfortable working as part of a global, diverse workforce of high-performing individuals
• AWS Certification is a plus

Team & Culture:

You'll join a global, distributed Data Science team spanning Bengaluru and Austin. We move fast, ship real AI to real enterprise users, and go all-in on agentic systems — without taking ourselves too seriously. Startup speed, prototype-to-production mindset, and a genuine focus on having fun while we build.

Growth:

This role offers a clear path to grow into a Principal Data Scientist as you take on greater scope and impact.

Interview Process:



Our process typically includes an initial conversation to assess fit, a technical assessment, one or more in-depth technical/case discussions, and final conversations with cross-functional stakeholders. 

Roles & Responsibilities

• Lead AI Product Pods across Credit Risk, Fraud, and Collections functions.
• Build and deploy production-scale Machine Learning systems for lending lifecycle decisioning.
• Own complete ML lifecycle including feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
• Design scalable distributed ML infrastructure, feature stores, model registries, and MLOps pipelines.
• Develop AI solutions for underwriting, portfolio risk monitoring, fraud detection, anomaly detection, and recovery optimization.
• Drive model governance, monitoring, explainability, and compliance within BFSI regulatory standards.
• Collaborate with Product, Risk, Engineering, Data, and Business teams to deliver AI-driven business outcomes.
• Define AI platform architecture, operational excellence, SLAs, and incident management practices.
• Build, mentor, and scale high-performing AI Engineering and Data Science teams.

Ideal Candidate

1.Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.

2.Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.

3.Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.

4.Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.

5.Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.

6.Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing

7.Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.

8.Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.

9.Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.

10.Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered

11.Mandatory (Age) - Candidate's Age should be below 37 years.

12.Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

13.Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.

14.Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.

15.Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.

We are seeking a Senior Android DevOps Engineer with 4+ years of specialized experience in mobile engineering pipelines. In this role, you will own, scale, and optimize our Android continuous integration and deployment (CI/CD) infrastructure. You will work closely with mobile development and QA teams to accelerate release cycles, ensure tight build security, and automate the journey from local code commit to the Google Play Store.

Key Responsibilities

1. ● Own CI/CD Infrastructure: Build, maintain, and scale robust mobile-specific CI/CD pipelines using platforms like Bitrise, GitHub Actions, or GitLab CI.
2. ● Automate Release Workflows: Design and implement end-to-end automation for Android builds (APK/AAB), test execution, and deployment using Fastlane and Gradle.
3. ● Manage Store Deployment: Oversee and automate app distribution via the Google Play Console, managing internal, closed testing, and production rollouts.
4. ● Secure Code Signing: Maintain the integrity of Android keystores, API keys, and certificates using secure secrets management tools.
5. ● Optimize Build Performance: Monitor and actively reduce build times, resolve dependency caching issues, and ensure infrastructure cost efficiency.
6. ● Quality & Observability Integration: Embed automated UI/unit testing (Espresso, Appium) and crash/performance tracking tools (Firebase Crashlytics, Sentry) directly into the pipeline.

Required Skills & Qualifications

1. ● Experience: 4+ years of dedicated experience in Mobile DevOps, Release Engineering, or Android Development with a heavy focus on infrastructure.
2. ● Build Systems: Deep, hands-on expertise with Gradle, ProGuard/R8, and the Android SDK.
3. ● Automation Tools: Advanced proficiency with Fastlane and scripting languages like Bash, Python, or Groovy.
4. ● Version Control: Solid understanding of version control best practices and Git branching strategies (e.g., Gitflow, Trunk-based development).
5. ● Problem Solving: Ability to diagnose and resolve build/environment issues independently.
6. ● Cloud & Containers: Solid understanding of Docker, cloud runners (AWS/GCP), and infrastructure as code.

About Blitzy

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.

Location: Pune, India (in-person role, HQ2)

The Role

We're looking for a Forward Deployed Engineer to join our Pune HQ2 team, thriving at the intersection of cutting-edge AI technology and real-world enterprise software challenges. You'll embed directly with customer engineering teams, helping them revolutionize their software development with Blitzy.

This isn't a typical solutions engineer role. You'll write production code, architect solutions, and work shoulder-to-shoulder with customer engineering teams to deliver transformative outcomes. You're equally comfortable debugging a complex integration, participating in sprint planning, or whiteboarding architecture with a CTO.

This role centers on our Java/Spring Boot enterprise stack — from core REST services and event-driven microservices to production operations — and requires close collaboration with our US-based engineering and customer teams, including time zone overlap for handoffs.

What Success Looks Like

• You deploy Blitzy into complex enterprise environments, navigating technical constraints while delivering immediate value
• You write custom integrations and extensions — built on Java 17 and Spring Boot 3.x — that unlock new use cases for customers
• You translate ambitious business goals into concrete technical implementations using Blitzy's AI capabilities
• You identify patterns across customer needs that influence our product roadmap
• You become a trusted technical advisor to engineering leaders, earning their confidence through hands-on expertise
• You drive successful POCs that expand into enterprise-wide deployments
• You contribute code and insights back to our core platform based on field experience

Areas of Ownership

Customer Partnership

• Embed with customer teams during critical implementations, serving as their technical co-pilot
• Participate in customer sprint planning, architecture reviews, and technical decision-making
• Build custom solutions that demonstrate Blitzy's capabilities in their specific environment

Technical Implementation

• Write production-quality Java 17 / Spring Boot 3.x services (Spring MVC, Spring Data JPA, Spring Security, Actuator) to integrate Blitzy with existing enterprise systems
• Build and evolve REST APIs using a contract-first approach with OpenAPI/Swagger
• Own data persistence with PostgreSQL, Hibernate/JPA, and Liquibase-managed database migrations
• Package and deploy containerized services with Docker, managing dependencies through Maven (BOM and multi-module projects)
• Develop reusable patterns, scripts, and tools that accelerate customer adoption
• Debug complex issues spanning customer infrastructure and our platform
• Create technical demos that showcase advanced use cases

Quality & Production Operations

• Write thorough test coverage using JUnit 5, Cucumber/Gherkin, and JMeter for performance validation
• Maintain code quality and observability with Git, Logback/SLF4J, SpotBugs, and SonarQube
• Support microservice architectures and production operations, including health checks, metrics, and configuration management

Strategic Impact

• Decompose executive vision into actionable engineering roadmaps
• Identify expansion opportunities within accounts based on technical insights
• Collaborate with our product team to prioritize features based on field experience
• Contribute to our technical documentation and best practices

Required Experience

• 4–10 years of software engineering experience with a track record of shipping production code
• Strong hands-on experience with Java 17 (must-have)
• Spring Boot 3.x expertise, including Spring MVC, Spring Data JPA, Spring Security, and Actuator
• PostgreSQL and Hibernate/JPA for data persistence
• Maven for dependency management (BOM and multi-module projects)
• Liquibase for database migrations
• REST API development using a contract-first/OpenAPI approach with Swagger
• Docker for containerized services
• Testing and performance tooling: JUnit 5, Cucumber/Gherkin, and JMeter
• Git, Logback/SLF4J, and static analysis tools such as SpotBugs and SonarQube
• Familiarity with microservice architectures and Spring Boot production operations (health checks, metrics, configuration)
• Deep understanding of modern software development practices (CI/CD, microservices, cloud architecture)
• Experience with enterprise development workflows, including Agile/Scrum methodologies
• Strong communication skills, with time zone overlap to support handoffs with our US-based teams—you can explain technical concepts to anyone from intern to CTO
• Must be based in or willing to work in-person from Pune, India

What Makes You Stand Out

• Jakarta EE experience, particularly Spring Boot 3 migrations
• Caching experience using Spring Cache
• Familiarity with Apache HttpClient 5
• Enterprise modernization experience: Java 8 → Java 17 upgrades and monolith → microservices migrations
• Exposure to event-driven architecture, including Spring Kafka, Apache Kafka consumers, dead-letter topics (DLT), and retry patterns
• Experience with Confluent Schema Registry and Apache Avro, including schema evolution and contract-first integrations
• Familiarity with Spring RestClient, Testcontainers, WireMock, and JaCoCo
• Observability experience with Micrometer and Dynatrace
• Exposure to Saga orchestration, resilience/retry patterns, Kubernetes, or the WSO2 API Gateway
• Experience at high-growth startups or in customer-facing engineering roles
• Background in AI/ML, developer tools, or enterprise modernization projects
• Track record of technical thought leadership (blogs, talks, open source contributions)
• Passion for the future of AI-powered software development

What Makes This Role Different

• Production Code, Real Stakes: Unlike traditional FDE roles that focus on configuration and support, you'll be writing production Java/Spring Boot code that directly impacts customer success and enterprise deals you can see the outcome of.
• Frontier AI Work: You'll shape AI adoption at the frontier of what's possible with generative AI—working with a platform that generates complete applications, not just code snippets.
• Influence the Roadmap: You'll influence product direction through direct field experience, feeding real customer insight back into our roadmap.
• Onsite Opportunities: High performers are eligible for company-sponsored trips to our Cambridge, MA headquarters based on business needs, with potential international transfer support for top talent.
• Full Employment Package: This is a full-time role directly with our Private Limited Company in Pune. Benefits include medical insurance, participation in the company stock option program, Employer Provident Fund contributions with gratuity after 5 years, technology allowance, meal provision, and a beautiful office environment.
• Clear Growth Path: Flexibility to transition into core product or platform engineering as Blitzy scales.

Our Culture

Who we are:

Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.

How we work:

• We move Blitzy Fast: Time is both our company's and our clients' most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
• Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
• Passion for Invention: We're pushing the frontier of what's possible, requiring constant innovation and iteration.
• We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.

We believe in being 'everyday athletes'—taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for optimal mental performance. It makes for a happier and more productive team.

We are looking for a Golang Developer to help build and scale our platform. This role involves designing high-performance distributed systems, building robust APIs and contributing to systems that handle real-time workflows at scale. You will own problems end to end, working closely with product, engineering and platform teams to build solutions that are reliable and scalable.

Responsibilities

• Develop new and enhance existing microservices, libraries, and features that form our B2B KYC platform.
• Create and document APIs, Queue Contracts to be consumed by other services.
• Work closely with the Product and Engineering Leads to implement features following best design principles and patterns.
• Participate in all phases of the development cycle plan, design, implement, review, test, deploy, document, and training.
• Help junior developers with best practices like TDD etc. and make sure their code meets the standards.
• Educate them continuously to improve overall team performance and work quality.

Requirements

• Development experience (3 to 6 years) preferably on GoLang and scripting skills.
• Bachelors/Masters in Computer Science or equivalent experience.
• Strong understanding of Computer Science fundamentals, software design principles, algorithms & design patterns.
• Interest and ability to quickly learn and ramp up on new languages and technologies.
• Ability to write understandable, reliable and testable code with minimum supervision.
• Distributed, highly available systems running at large scale.
• Distributed platforms which use Kafka, Elasticsearch, Cassandra or similar systems.
• Cloud environments (e. g., Docker, AWS, GCP, Kubernetes etc.,).
• Asynchronous programming patterns (e. g., GO Routines/Channels, Async Programming).
• Experience in CI/CD (Continuous Integration & Delivery), AGILE work environments.
• Ability to troubleshoot and solve issues on distributed systems.

Why join Zoop

• Work on high-scale, real-time systems that power critical identity and onboarding workflows for fast-growing businesses
• Take end-to-end ownership of meaningful engineering problems while building clean, scalable, production-grade systems
• Grow in a strong engineering environment with exposure to distributed systems, cloud-native technologies, and modern architectures

Work Mode: In office (5 days a week)

Location: Viman Nagar, Pune

Job post summary

Pay: ₹18,000.00 - ₹30,000.00 per month

Job description:

Department: HR Operations

Location: Mansarovar, Jaipur, Rajasthan (Onsite)

Shift Timings:

• EST: 4:30 PM - 2:30 AM
• PST: 8:30 PM - 5:30 AM

Job Overview:

LMDmax is hiring a dedicated US Recruiter for the night shift, focusing on the US market. The ideal candidate will have experience in Non-IT recruitment, managing high-volume calls, and handling the entire recruitment process. This role requires making 100–150 calls daily during peak hours and onboarding qualified candidates for Non-IT roles across the US.

Key Responsibilities:

• Source, screen, and evaluate Non-IT candidates based on client requirements.
• Conduct 100–150 US calls per day to engage with potential candidates.
• Manage the full recruitment life cycle, from sourcing to offer negotiation and onboarding.
• Collaborate with US-based clients and hiring managers to understand job requirements.
• Post job openings on job boards and social media platforms.
• Build and maintain a pipeline of qualified candidates for future hiring needs.
• Use Applicant Tracking System (ATS) to manage recruitment activities.
• Negotiate compensation packages, manage candidate expectations, and ensure a smooth onboarding process.
• Onboard selected candidates and ensure alignment with client expectations.

Required Skills and Qualifications:

• 0–3 years of experience in US Non-IT recruitment
• Strong knowledge of US employment laws and hiring processes
• Experience with high-volume recruitment, handling 100–150 calls per day
• Familiarity with job boards like Indeed, LinkedIn, etc.
• Excellent written and verbal communication skills in English
• Ability to work night shifts aligned with US time zones (EST/PST)

Preferred Qualifications:

• Bachelor's degree

Job Types:

• Full-time
• Permanent
• Fresher

Pay:₹18,000 – ₹30,000 per month

Ability to Commute/Relocate:- Mansarovar, Jaipur, Rajasthan:

• Reliably commute or planning to relocate before starting work (Preferred)
• Work Location: In person

Benefits:

• Competitive salary
• Laptop assistance
• Dinner facilities
• Opportunity to work with leading global clients
• Career growth opportunities
• Work-life balance with fixed shift timings

About Planview

As the global leader in work and resource management, Planview makes it easier for all organizations to achieve their business goals. We provide the industry’s most comprehensive solutions designed for strategic planning, portfolio and resource management, Lean and Agile delivery, product portfolio management, capability, and technology management (enterprise architecture), innovation management, and collaborative work and project management. Our solutions span every class of work, resource, and organization to address the varying needs of diverse and distributed teams, departments, and enterprises.

Planview’s 1400+ employees serve over 5,000 customers worldwide through a culture of innovative technology leadership, deep market expertise, and highly engaged communities.

The Internal Audit Manager will execute risk-based audits spanning IT general controls, information security, data privacy, and operational and financial controls under the direction of the Planview leadership. The Internal Audit Manager will perform local audits, risk-based audits, participate in projects across multiple regions, as well as global audits.

Key Areas of Responsibility

•Lead the risk-based annual internal audit program covering Planview’s multi-product SaaS portfolio, shared platform controls and key corporate controls

•Understand key components of risk within the business and products, and ensure these areas are reviewed and tested as appropriate.

•Plan and implement audit process improvement opportunities through the use of technology, data analytics and best practices.

•Effectively communicate with management, external audit, and business leaders, ensuring key findings and risks are shared in a timely and effective manner.

•Optimize internal audit practice and integrate into enterprise operations.

•Participate in major business initiatives, including critical system implementations, and pro-actively advise and facilitate adoption of best practices in governance, risk, and control.

•Understand and adhere to professional auditing standards and maintain current knowledge of required standards and frameworks including, ISO/IEC 27001, ISO/IEC 27701, GDPR and emerging AI governance standards (e.g., ISO/IEC 42001).

•Monitor business changes to ensure a continuously maturing assurance framework.

•Partner with leadership, GRC, and Information Security to evaluate the design and implementation of IT general and automated system controls, configurations, key reports, and other critical controls.

•Provide recommendations and assist in the remediation efforts of control deficiencies. Follow up with control owners to ensure remediation is on track as planned. Communicate status of remediation to leadership where appropriate. Perform audit procedures to confirm remediation.

•Lead and collaborate cross-functionally on investigations, special projects, acquisitions, and integrations, as requested by senior management.

•Assess third-party and vendor risk across the SaaS supply chain, including sub processors and cloud service providers.

•Evaluate governance and controls over the development and use of AI, including data handling, model risk, and alignment with emerging AI assurance frameworks.

Required Skills and Competencies

•Excellent written and verbal communication skills, with a track record of presenting audit issues, risks, and insights to senior leaders.

•Demonstrated ability to prioritize and manage multiple concurrent work streams. 5+ years’ experience performing internal and/or external audits, preferably within a SaaS, technology, or cloud environment.

•Experience building and leading teams, especially in the audit space.

•Professional certification preferred any of these: CISA, CIA, CRISC, CISSP, CPA, ISO 27001 LA or IA.

•Ability to identify and assess operational risks resulting in the development of an effective audit program.

•Excellent critical and strategic thinking skills; comfortable exercising judgment in situations where there is ambiguity or uncertainty.

•Strong analytical and problem-solving skills.

•Mandatory experience auditing cloud environments, in AWS, including familiarity with AWS core services such as IAM, EC2, S3, RDS, VPC, KMS, WAF, CloudTrail, and cloud security best practices.

Company Overview

Planview has one mission: to build the future of connected work, from ideas to impact.

As the global leader in work and resource management, Planview helps organizations accelerate the achievement of what matters most, supporting our customers from need to speed, from passion to progress, and from overhead to optimization. We provide the industry’s most comprehensive solutions designed for strategic planning, portfolio and resource management, Lean and Agile delivery, product portfolio management, capability, and technology management (enterprise architecture), innovation management, and collaborative work and project management. Our connected platform of solutions underpins the business and digital transformations of more than 4,500 customers globally, including 59 of the Fortune 100.

At Planview, our people connections drive our innovation and success. Our global team of 1400+ work remotely and across our offices including Austin, Vancouver, Hod Hasharon, Bangalore, Sydney, and Stockholm. We’re proud of our world-class, connected culture built on our shared values, that supports our teams to be successful from anywhere.

The Opportunity

We’re Hiring –Sr Consultant/ Consultant II

Working Hours: Night Shift (6:30 PM – 3:30 AM IST)

Work Mode: Hybrid

Responsibilities:

As a Managed Services Consultant, you will support Planview SaaS applications within the Planview portfolio. This role involves monitoring, delivery coordination, reporting, and hands-on technical troubleshooting in a hosted environment.

•Support Planview SaaS applications: monitoring, delivery coordination, and reporting.

•Work on trouble tickets, manage scripts, create SQL jobs, and troubleshoot IIS.

•Collaborate with customers, prospects, and internal teams to diagnose connectivity and performance issues.

•Create and maintain comprehensive project documentation.

•Portfolio setup, configuration, and administration.

•User access, security roles, and governance management

•Reporting and dashboard creation (Power BI)

•Strong understanding of project management fundamentals

•Experience with portfolio reporting, risks, dependencies, and resource management

•Budgeting, forecasting, and financial analysis knowledge

•Ability to work independently as a Subject Matter Expert (SME)

Qualifications

•Strong communication skills (verbal and written fluency in English).

•Willingness to work on night shifts to support US & European customers.

•Knowledge of MS Office Suite (Excel & PowerPoint preferred).

•Intermediate/Advances-level knowledge of SQL (Oracle SQL or Microsoft SQL preferred).

•Good understanding of project/agile/lean management tools like Planview, Clarizen, Clarity, CA PPM, Primavera, HP PPM, JIRA, Teamwork.

Education Qualification

Bachelor’s degree (BE, MCA, MBA) or foreign equivalent from an accredited institution

Benefits at Planview

At Planview, you’ll join our global team and culture which reflects the vibrant communities in which our employees live and work. To support you at Planview, you will enjoy:

•Unplugged Days: 4 company-wide paid days off per year to recharge and relax.

•Generous PTO offerings (region dependent).

•Region specific competitive benefit plans to support you at any life stage including parental leave, retirement, medical plans, wellness support, and remote work support.

•Paid time to volunteer through Planview’s Force for Good Week.

•Employee Referral bonus program.

•Weekly office lunches for hybrid team members and social events.

•Flexible work hours/environment.

Now is a great time to join our team. If you are looking for a place to grow your career, innovate with best-in-class solutions, and build the future of connected work, Planview is the right place for you!

Equal Employment Opportunity at Planview

Planview is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. As part of our efforts to build a diverse workforce, we encourage applications from Indigenous, Black, and other racialized communities, 2SLGBTQIA+ communities, people with neurodivergence, immigrants, people with disabilities, and other equity deserving groups. In addition to building a diverse workforce, we are committed to fostering an inclusive and accessible experience.

Location: Sector 48, Gurugram

 Working Days: Monday to Friday (5 Days)

 Working Hours: 9:00 AM – 5:00 PM

 Experience: 0–1 Year (Freshers are welcome to apply)

Role Summary

We are looking for a Junior Customer Success Executive to join our growing team. This is an excellent opportunity for fresh graduates and candidates with up to 1 year of experience who are passionate about customer interaction and eager to build a career in the SaaS industry. You will support customers with onboarding, resolve their queries, and ensure they have a great experience using our platform.

Key Responsibilities

Respond to customer queries via email, WhatsApp, phone calls, and support tickets.

Assist customers with product onboarding and provide basic product demonstrations.

Coordinate with internal teams to resolve customer issues.

Follow up with customers to ensure timely issue resolution and satisfaction.

Collect customer feedback and share insights to improve the customer experience.

Maintain accurate records of customer interactions in CRM or support tools.

Requirements

Bachelor's degree in any discipline.

0–1 year of experience in Customer Support, Customer Success, Sales, or a customer-facing role.

Freshers are welcome to apply.

Internship experience in Customer Support, Customer Success, Sales, or a customer-facing role will be an added advantage.

Good verbal and written communication skills in English.

Comfortable communicating with customers via calls, email, WhatsApp, and chat.

Basic knowledge of MS Office or Google Workspace.

Positive attitude, willingness to learn, and strong problem-solving skills.

What We Offer

Training and mentorship from experienced professionals.

Opportunity to work in a fast-growing SaaS startup.

Performance-based incentives.

Career growth opportunities.

A collaborative and supportive work environment.

About Us:

CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.

Our Values:

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement:

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/

Key Responsibilities:

● Develop and own vision, strategy and roadmap for the account

● Participate in business reviews with executive leadership. Own weekly and monthly dashboards and reporting packages to business and leadership

● Actively mine new opportunities within account by cross/up selling

● Customer centric approach which includes understanding of expectations/prioritizations of customer needs

● Review the capacity and timeline of the deliverables on an ongoing basis

● Identify and address technical and operational challenges or risks during project execution and develop action plans for mitigation and aversion of identified risks

● Assess the team hurdles in their development cycles and provide critical thinking

● Assign tasks, track deliverables, and remove impediments to team members

● Create and maintain delivery best practices and audit the implementation of processes and best practices in the organization

● Contribute towards the creation of a knowledge repository, reusable templates,

reports/dashboards

● Supports development of others and self with effective feedback, recognition and coaching

● Solid track record of successfully leading sizable teams, with a preference for experience in offshore delivery setups

● Established success in achieving business goals using analytics-driven solutions

● Past experience in collaborating with international stakeholders and directing diverse teams

Key Qualifications:

● Education Background: BTech/ BE / BS / MS / MBA

● Professional Experience:

○ A minimum of 10 years of professional experience in the software/product development domain

○ 3+ years’ of experience as Technical Product/Program Manager, with a track record of leading sizable teams - 30+ team members

○ Product Mindset to provide improvement points to enhance features and customer experience

○ Should have thorough understanding of DevOps philosophy and driven the same in past projects.

○ Must have performed product/program delivery for a leading cloud partner of size more than USD 3M annually and grown the account through delivery excellence

○ Hands-on experience of agile project management.

Must be conversant in performing agile ceremonies i.e. Daily Scrum calls, Retro and Customer Demos and Velocity calculation

● Technical Proficiency:

○ Expertise in managing software development projects around java, open-source technologies and data integration products

○ Experience on GCP is mandatory

○ Experience on Java , Scala, Maven, Test Coverage, Code Review, Quality Deliverables with Automation

○ Product development experience on HDFS, with programming experience on spark.

○ Should be well verse with current technology trends in IT Solutions e.g. Cloud Platform development, DevOps, Low Code solutions, Intelligent Automation

● Good to Have: Git, Bitbucket, Microservices

● Desired Certifications (Mandatory): Certified Scrum Product Owner and/or PMP

Leadership & Management:

● Must have experience working with customers across North America and Europe.

● Written communication, technical articulation, listening and presentation skills (8/10 minimum)

● Should have good conflict management and superior persuasive and negotiation skills.

● Should have demonstrated effective task prioritization, time management and internal/external stakeholder management skills

● Should be a quick learner, self-starter, go-getter and team player

● Comfortable and flexible to operate in a matrix structure

● Should have demonstrated appreciable Organizational Citizenship Behaviour (OCB) in past organisations

● Proven experience in refining processes to enhance operational efficiency.

● Robust project management skills with an emphasis on punctual delivery and quality assurance.

About Us :

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values :

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement :

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.

Location: Noida, Delhi NCR

Primary Skills - Java 8-17+, Core Java, Design patterns (more than Singleton & Factory), Webservices development REST/SOAP, XML & JSON manipulation, OAuth 2.0, CI/CD, SQL / NoSQL

Secondary Skills -Kafka, Jenkins, Kubernetes, Google Cloud Platform (GCP), SAP JCo library, Terraform

Certifications (Optional): OCPJP (the Oracle Certified Professional Java Programmer) / Google Professional Cloud Developer

Required Experience:

• Must have integration component development experience using Java 8/9 technologies and service-oriented architecture (SOA)
• Must have in-depth knowledge of design patterns and integration architecture
• Must have experience in system scalability and maintenance for complex enterprise applications and integration solutions
• Experience with developing solutions on Google Cloud Platform will be an added advantage.
• Should have good hands-on experience with Software Engineering tools viz. Eclipse, NetBeans, JIRA, Confluence, BitBucket, SVN etc.
• Should be very well verse with current technology trends in IT Solutions e.g. Cloud Platform Development, DevOps, Low Code solutions, Intelligent Automation

• Must-Have Core Expertise:
• Experience: 8–10 years of backend development with a specialization in enterprise systems integration.
• Java Mastery: Expert-level depth in Java 11/17+, advanced multithreading, concurrent programming, and robust Design Patterns (Factory, Builder, Strategy, Adapter).
• High-Performance Communication: Hands-on experience with Protobuf and gRPC-Java implementation (including Stub, Channel, and Transport layers).
• Google Ecosystem & Plugins: Proven experience with Cloud Data Fusion / CDAP plugin frameworks (Source, Sink, Transform), BigQuery DTS APIs, and Google Dataplex connectors.
• GCP Infrastructure: Strong fluency with GCP IAM, Service Accounts, Cloud Storage, Pub/Sub, and Dataproc Serverless.
• DevOps & Provisioning: Competency in multi-module build systems (Maven/Gradle) and Infrastructure as Code (Terraform) for GCP resource provisioning.
• Enterprise application and platform integration experience - Experience of developing 3-4 integration adapters/connectors for enterprise applications (ERP, CRM, HCM, SCM, Billing etc.) or data platforms e..g (Redshift, Databricks, Snowflake, Azure Fabric) using industry standard frameworks and methodologies

Nice-to-Have Skills:

• Experience with distributed computing frameworks: Apache Spark, Apache Beam, or Cloud Dataflow.
• Exposure to real-time event-streaming platforms like Kafka.
• Containerization and deployment orchestration via Kubernetes (GKE) and Docker.
• Familiarity with alternative enterprise data sources (e.g., Snowflake, Databricks, SAP, Salesforce) or Data Mesh architectural patterns.
• Professional Competencies
• Proactive Problem Solving: A self-starter who anticipates integration risks, defines mitigation paths, and champions technical debt reduction.
• Clear Articulation: Exceptional verbal and written English communication skills optimized for hybrid/remote engagement with international clients.
• Organizational Impact: A track record of contributing to reusable technical assets, solution accelerators, and internal intellectual property (IP).

Job Responsibilities:

• Writing the design specifications and user stories for the functionalities assigned.
• Develop assigned components / classes and assist QA team in writing the test cases
• Create and maintain coding best practices and do peer code / solution reviews
• Participate in Daily Scrum calls, Scrum Planning, Retro and Demos meetings
• Bring out technical/design/architectural challenges/risks during execution, develop action plan for mitigation and aversion of identified risks
• Comply with development processes, documentation templates and tools prescribed by CloudSufi or and its clients
• Work with other teams and Architects in the organization and assist them on technical Issues/Demos/POCs and proposal writing for prospective clients
• Contribute towards the creation of knowledge repository, reusable assets/solution accelerators and IPs
• Provide feedback to junior developers and be a coach and mentor for them
• Provide training sessions on the latest technologies and topics to others employees in the organization
• Participate in organization development activities time to time - Interviews, CSR/Employee engagement activities, participation in business events/conferences, implementation of new policies, systems and procedures as decided by Management team

Behavioural competencies required:

• Must have worked with US/Europe based clients in onsite/offshore delivery model
• Should have very good verbal and written communication, technical articulation, listening and presentation skills
• Should have proven analytical and problem solving skills
• Should have demonstrated effective task prioritization, time management and internal/external stakeholder management skills
• Should be a quick learner and team player
• Should have experience of working under stringent deadlines in a Matrix organization structure
• Should have demonstrated appreciable Organizational Citizenship Behavior (OCB) in past organizations

About Us :

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values :

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement :

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.

Role : Lead AI/Senior Engineer

Location : Noida, Delhi/NCR

Experience : 3- 9years

Education : BTech / BE / MCA / MSc Computer Science

Job Summary :

We are seeking a highly innovative and skilled AI Engineer to join our AI CoE for the Data Integration Project. The ideal candidate will be responsible for designing, developing, and deploying intelligent assets and AI agents that automate and optimize various stages of the data ingestion and integration pipeline. This role requires expertise in machine learning, natural language processing (NLP), knowledge representation, and cloud platform services, with a strong focus on building scalable and accurate AI solutions.

Key Responsibilities :

- LLM-based Auto-schematization : Develop and refine LLM-based models and techniques for automatically inferring schemas from diverse unstructured and semi-structured public datasets and mapping them to a standardized vocabulary.

- Entity Resolution & ID Generation AI : Design and implement AI models for highly accurate entity resolution, matching new entities with existing IDs and generating unique, standardized IDs for newly identified entities.

- Automated Data Profiling & Schema Detection : Develop AI/ML accelerators for automated data profiling, pattern detection, and schema detection to understand data structure and quality at scale.

- Anomaly Detection & Smart Imputation : Create AI-powered solutions for identifying outliers, inconsistencies, and corrupt records, and for intelligently filling missing values using machine learning algorithms.

- Multilingual Data Integration AI : Develop AI assets for accurately interpreting, translating (leveraging automated tools with human-in-the-loop validation), and semantically mapping data from diverse linguistic sources, preserving meaning and context.

- Validation Automation & Error Pattern Recognition : Build AI agents to run comprehensive data validation tool checks, identify common error types, suggest fixes, and automate common error corrections.

- Knowledge Graph RAG/RIG Integration : Integrate Retrieval Augmented Generation (RAG) and Retrieval Augmented Indexing (RIG) techniques to enhance querying capabilities and facilitate consistency checks within the Knowledge Graph.

- MLOps Implementation : Implement and maintain MLOps practices for the lifecycle management of AI models, including versioning, deployment, monitoring, and retraining on a relevant AI platform.

- Code Generation & Documentation Automation : Develop AI tools for generating reusable scripts, templates, and comprehensive import documentation to streamline development.

- Continuous Improvement Systems : Design and build learning systems, feedback loops, and error analytics mechanisms to continuously improve the accuracy and efficiency of AI-powered automation over time.

Required Skills and Qualifications :

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.

- Proven experience (e.g., 3+ years) as an AI/ML Engineer, with a strong portfolio of deployed AI solutions.

- Strong expertise in Natural Language Processing (NLP), including experience with Large Language Models (LLMs) and their applications in data processing.

- Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).

- Hands-on experience with cloud AI/ML services,

- Understanding of knowledge representation, ontologies (e.g., Schema.org, RDF), and knowledge graphs.

- Experience with data quality, validation, and anomaly detection techniques.

- Familiarity with MLOps principles and practices for model deployment and lifecycle management.

- Strong problem-solving skills and an ability to translate complex data challenges into AI solutions.

- Excellent communication and collaboration skills.

Preferred Qualifications :

- Experience with data integration projects, particularly with large-scale public datasets.

- Familiarity with knowledge graph initiatives.

- Experience with multilingual data processing and AI.

- Contributions to open-source AI/ML projects.

- Experience in an Agile development environment.

Benefits :

- Opportunity to work on a high-impact project at the forefront of AI and data integration.

- Contribute to solidifying a leading data initiative's role as a foundational source for grounding Large Models.

- Access to cutting-edge cloud AI technologies.

- Collaborative, innovative, and fast-paced work environment.

- Significant impact on data quality and operational efficiency.

Job description:

Job Description – Assistant Draftsman

Position: Assistant Draftsman

Experience: 2+ Years (Freshers are also welcome to apply)

Qualification: ITI / Diploma in Draftsmanship, Mechanical Engineering, Civil Engineering, or any relevant technical qualification

Company Profile :

Encon Group is one of India's leading manufacturers of Cooling Towers, FRP (Fiberglass Reinforced Plastic) Products, Axial Flow Fans, and HVAC Cooling Solutions. With decades of industry experience, Encon Group is committed to delivering innovative, energy-efficient, and high-quality engineering solutions to customers across various industrial sectors. We believe in quality, innovation, and continuous growth while providing excellent career opportunities for talented professionals.

Job Responsibilities :

• Prepare 2D drawings using Solid Works / AutoCAD.
• Prepare structural, fabrication, assembly, and detailing drawings.
• Develop Bill of Quantities (BOQ) for projects.
• Prepare fabrication and erection drawings as per project requirements.
• Read and interpret engineering drawings and specifications.
• Coordinate with Design, Production, and Project Execution teams.
• Revise drawings based on engineering and customer requirements.
• Maintain drawing records, revisions, and documentation.
• Ensure drawings comply with project standards and quality requirements.
• Support project execution by providing accurate technical drawings.

Required Skills :

• Good knowledge of Solid Works / AutoCAD.
• Understanding of profile sections, structural assemblies, and detailing.
• Knowledge of BOQ preparation.
• Ability to prepare fabrication and erection drawings.
• Basic understanding of manufacturing and fabrication processes.
• Good communication and coordination skills.
• Experience in the Cooling Tower industry will be an added advantage.

Eligibility :

• ITI / Diploma in Draftsmanship or relevant technical qualification.
• Experience: 2+ Years preferred.
• Freshers with good Solid Works knowledge are also encouraged to apply.

Urgent Hiring – Immediate Joiners Preferred.

Job Opening : Site Engineer / Erection & Commissioning Engineer

Industry : Cooling Tower Manufacturing

Position : Site Engineer – Erection & Commissioning Engineer

Location : Pan India (Excellent performers may get opportunities for overseas projects.)

Experience : 0–1+ Years

Qualification : ITI / Diploma in Mechanical Engineering or any related Mechanical field

Company Profile :

Encon Group is one of India's leading manufacturers and solution providers in the Cooling Tower industry. With decades of experience, the company specializes in the design, manufacturing, erection, commissioning, and servicing of Cooling Towers and related HVAC solutions. Encon Group is committed to delivering high-quality, energy-efficient, and reliable cooling systems to various industries across India and international markets.

Job Responsibilities :

* Assist in the erection and commissioning of Cooling Towers at customer sites.

* Carry out installation activities as per engineering drawings and project requirements.

* Coordinate with customers, project teams, and supervisors during site execution.

* Ensure proper alignment, assembly, and installation of cooling tower components.

* Perform inspection, testing, and commissioning of equipment.

* Troubleshoot installation and operational issues at project sites.

* Prepare daily site progress reports and maintain project documentation.

* Follow all safety procedures and company guidelines during site work.

* Travel to customer locations across India as per project requirements.

Candidate Requirements :

* ITI or Diploma in Mechanical Engineering or a related Mechanical field.

* 0–1+ years of experience in site work, erection, commissioning, or mechanical maintenance.

* Freshers are encouraged to apply.

* Willingness to travel extensively across India.

* Good communication and problem-solving skills.

* Ability to work independently and in a team environment.

Additional Benefits : 

* Free Accommodation during site assignments.

* Free Travel to and from project sites.

* Free Food during site work.

* PF & ESIC Benefits.

* Opportunity to work on projects across India.

* Excellent performers may get opportunities to work on overseas projects.

Product Design Intern - AM:PM Network

We're building a short-form vertical video news app for people done with shout-fest news. You'll design the actual screens millions will scroll.

What you'll do

• Design feed, story, and onboarding screens in Figma, mobile-first, vertical video native
• Turn rough product ideas into clickable prototypes fast
• Sit with the founding team, ship, get feedback, iterate
• Own small features end to end, not just pixels

What we're looking for

• A portfolio with at least one real app or product interface
• Comfort in Figma and a bias for speed over polish-paralysis
• You use short-form apps daily and have opinions on why they work
• You can defend a design choice, not just make it pretty

Details

• 3-month internship, in-office, Andheri Mumbai
• Stipend during probation, conversion to full-time for strong performers

Software Development Engineer (1–3 Years Experience)

Overview

We are looking for a proactive Full Stack Engineer with 1–3 years of core backend experience in .NET / .NET Core or Java (Spring Boot), alongside modern frontend skills in TypeScript. In this role, you will help design, build, and maintain scalable web applications and APIs while working across the full software stack.

If your primary backend experience is in Java/Spring Boot, we welcome your application—provided you are eager to adapt and pick up .NET/C# in our environment.

Key Responsibilities

• Backend Development: Build, optimize, and maintain reliable backend services and RESTful APIs using .NET / .NET Core (C#) or Java (Spring Boot).
• Frontend Integration: Develop responsive, clean frontend components using TypeScript and modern JavaScript frameworks (React, Angular, or Vue).
• Engineering Standards: Write clean, testable code, participate in peer code reviews, and maintain unit test coverage.
• Collaboration: Partner with cross-functional team members to implement feature requirements and improve system architecture.
• Performance & Security: Help monitor, debug, and optimize application performance, responsiveness, and data security.

Requirements

• Experience: 1–3 years of hands-on software development experience.
• Backend: Strong foundation in C# / .NET (.NET Core) OR Java / Spring Boot, with willingness to work across frameworks as needed.
• Frontend: Proficiency in TypeScript and at least one modern frontend library/framework (React, Angular, or Vue).
• Core Fundamentals: Solid understanding of REST APIs, relational databases (e.g., PostgreSQL, MySQL, SQL Server), and version control (Git).
• Problem-Solving: Good analytical skills and clarity in technical communication.

Nice to Have

• Experience with cloud platforms (Azure or AWS).
• Familiarity with containerization tools (Docker) and modern CI/CD pipelines.
• Exposure to NoSQL databases or caching mechanisms (Redis).

Job description

● Quick Call Customer of Lead assignment and take appointment for Demo of SaaS

● Engage, Follow Up and Sale subscription for SaaS

● Following Sales SOP.

Desired Candidate Profile

● Self-motivated and , qucik learner with good communication skills, negotiation skills and zeal to perform excelnt deal.

● Fluent in Marathi, Hindi and English ,language

visit https://sleekbill.in

Who are we :

Trendlyne is a funded, profitable products startup in the financial markets space. We have cutting-edge analytics products built for Indian and US customers, for stock markets and mutual funds.

Our founders are IIT + IIM graduates, with strong tech and marketing experience. We have top finance and management experts on the Board of Directors.

What do we do :

We build powerful analytics in the US and Indian stock market space that are best in class. Organic growth in B2B and B2C products has already made the company profitable. We deliver 1 billion+ APIs every month to B2B customers, and have a B2C website and app.

Tech Stack :

• Python (Django / Flask / FastAPI)
• PostgreSQL / MySQL
• Redis / caching systems
• REST APIs

Job Responsibilities :

• Develop and maintain scalable, robust backend systems using Python frameworks.
• Work closely with product managers and other cross-functional teams to help define, scope, and deliver world-class products and high-quality features addressing key user needs.
• Translate requirements into system architecture and implement code while considering performance issues of dealing with billions of rows of data and serving millions of API requests every hour.
• Ability to take full ownership of the software development lifecycle from requirement to release.
• Writing and maintaining clear technical documentation enabling other engineers to step in and deliver efficiently.
• Embrace design and code reviews to deliver quality code.
• Play a key role in taking Trendlyne to the next level as a world-class engineering team.
• Develop and iterate on best practices for the development team, ensuring adherence through code reviews.
• As part of the core team, you will be working on cutting-edge technologies like AI products, online backtesting, data visualization, and machine learning.
• Proficient understanding of the performance of web and mobile applications.

Job Requirements :

• 1+ years of experience with Python and Django / Flask / FastAPI.
• Good knowledge of APIs, databases, and system performance.
• Strong understanding of relational databases like PostgreSQL or MySQL and Redis.
• Ownership mindset: you build it, ship it, and take responsibility for it in production.
• Strong communication skills: ability to articulate technical decisions clearly to both engineers and non-technical stakeholders.
• Bonus: Familiarity with JavaScript, HTML, or CSS is a plus but not required.

Software Engineer – AI/ML to build next-generation AI solutions for the Higher Education domain. You will work on LLM-powered applications, AI Agents, RAG systems, and intelligent automation for our enterprise SaaS platform.

Required Skills

• Strong Python programming and software engineering skills
• Hands-on experience with LLMs (GPT, Claude, Gemini, Llama, Mistral, DeepSeek)
• Experience with LangChain, LlamaIndex, AI Agents, and RAG
• Knowledge of PyTorch/TensorFlow and Hugging Face
• Experience with FastAPI, REST APIs, and Microservices
• Hands-on experience with Vector Databases (Pinecone, Qdrant, ChromaDB, pgvector)
• Experience with AWS (Bedrock, SageMaker, EC2, Lambda, S3)
• Docker & Kubernetes
• Strong understanding of System Design and scalable AI applications

Preferred Skills

• Agentic AI & MCP (Model Context Protocol)
• Prompt Engineering & Fine-tuning
• Enterprise AI application development
• Experience in EdTech or SaaS products

What You'll Build

• AI Agents and intelligent workflows
• RAG-based enterprise search solutions
• LLM-powered applications
• Scalable AI APIs and microservices
• AI features for enterprise SaaS products

If you're passionate about building production-grade AI systems and working with the latest Generative AI technologies, we'd love to hear from you.

Roles & Responsibilities

• Design and conduct quantitative UX research studies to evaluate user behavior and product usability.
• Plan, execute, and analyze A/B tests and controlled experiments.
• Define research objectives, hypotheses, success metrics, and measurement frameworks.
• Analyze product metrics, user engagement, conversion funnels, retention, and feature adoption.
• Extract and analyze data using SQL and product analytics tools.
• Use statistical methods to validate research findings, including sample size calculations, confidence intervals, and statistical significance testing.
• Collaborate with Product Managers, UX Designers, Data Analysts, and Engineering teams to support product strategy.
• Create dashboards, reports, and presentations to communicate research findings and recommendations.
• Identify user behavior patterns and opportunities for product optimization.
• Translate complex quantitative insights into clear, business-focused recommendations.
• Support product development by measuring the impact of new features and product improvements.
• Stay updated with industry trends, research methodologies, and analytics best practices.

Ideal Candidate

• Strong understanding of experimental design and statistical methodologies.
• Hands-on experience with SQL and product analytics platforms such as Amplitude, Mixpanel, or GA4.
• Ability to interpret large datasets and generate actionable business insights.
• Excellent problem-solving, analytical thinking, and stakeholder communication skills.
• Passion for improving user experience through data-driven decision-making

Job Title: Business Development Associate (BDA) – IT Sales

Company: CodeGuardian Tech International Pvt. Ltd.

Job Type: Full-Time | Work from Office

About Us

CodeGuardian Tech International Pvt. Ltd. is a growing IT and Cybersecurity company delivering software development, cybersecurity solutions, cloud services, IT staffing, and digital transformation solutions to clients across various industries. We are looking for energetic and ambitious professionals to join our Business Development team and contribute to our growth.

Eligibility

• Bachelor's degree in BBA, B.Com, B.Tech, MBA, or any relevant discipline.
• Freshers with excellent communication skills are welcome.
• Candidates with up to 1 year of experience in Business Development, IT Sales, Lead Generation, or Inside Sales are encouraged to apply.
• Strong verbal and written communication skills.
• Confident, target-oriented, and eager to build a career in IT Sales.

Key Responsibilities

• Identify and generate new business opportunities through cold calling, email campaigns, LinkedIn, and other online platforms.
• Research potential clients and build a strong sales pipeline.
• Schedule meetings and product demonstrations with prospective clients.
• Understand client requirements and propose suitable IT solutions and services.
• Maintain regular follow-ups with prospects and nurture client relationships.
• Coordinate with technical and delivery teams for client discussions and proposals.
• Prepare sales reports and maintain CRM records.
• Achieve monthly and quarterly sales targets.

Required Skills

• Excellent communication and negotiation skills.
• Strong interpersonal and relationship-building abilities.
• Basic understanding of IT services, software development, or cybersecurity (preferred).
• Familiarity with LinkedIn, email outreach, and MS Office.
• Ability to work in a fast-paced, target-driven environment.

Salary & Benefits

• Competitive salary (based on skills and experience).
• Attractive performance incentives.
• Professional training and career development.
• Opportunity to work with experienced IT professionals.
• Friendly and collaborative work environment.

Why Join CodeGuardian?

• Fast-growing IT and Cybersecurity company.
• Excellent learning opportunities in B2B IT Sales.
• Performance-driven growth and career advancement.
• Exposure to domestic and international clients.

About FrontM

At FrontM, we are on a mission to transform the lives of frontline workforces, particularly in the maritime industry. We believe in creating a more connected, empowered, and engaged workforce by building cutting-edge solutions that merge the power of technology with human-centric needs. Our vision is to develop the world’s leading digital toolbox platform for maritime operations —a platform that brings everything for frontline workforces from digital wallets, recruitment, onboarding, healthcare, and learning to welfare and human capital management under one seamless umbrella.

Role Summary

As a JavaScript Developer at FrontM, you will be at the forefront of developing our pioneering digital toolbox platform and the low-code developer framework that powers it. You will have the opportunity to work with the latest JavaScript frameworks, integrating advanced technologies such as Large Language Models (LLMs), AI, and the latest GPT models. You’ll also be part of our exciting roadmap to evolve our low-code platform into a no-code solution, making app development accessible to everyone. Your contributions will be pivotal in the creation and enhancement of the Maritime App Store, where innovation meets practicality, offering solutions that make a tangible difference in the lives of seafarers and other frontline workers.

Key Responsibilities

Application Development (≈60%)

• Build micro-apps using the frontm.ai framework
• Implement intent-based architectures, context and state management
• Develop responsive UIs, forms, collections, filters, and workflows
• Integrate AWS services (Lambda, S3, DynamoDB, Bedrock)
• Build conversational AI features and real-time capabilities (messaging, video, notifications)

Framework Development (≈25%)

• Enhance and extend the frontm.ai core framework
• Build reusable components, patterns, and accelerators
• Improve performance for low-bandwidth environments
• Contribute to documentation, examples, and design reviews
• Support migration towards TypeScript and future Rust components

AI-Assisted Development (≈15%)

• Use Claude Code for efficient development
• Write and refine prompts for code generation
• Review, validate, and harden AI-generated code
• Implement LLM integrations via AWS Bedrock / OpenAI
• Build AI assistants using the skills layer

Required Technical Skills

JavaScript / TypeScript

• 5+ years professional JavaScript experience
• Strong TypeScript, async patterns, modular design
• Clean code practices and modern tooling

Architecture & Cloud

• Microservices and event-driven systems
• Serverless AWS (Lambda, API Gateway, DynamoDB, S3)
• REST APIs, WebSockets, CI/CD
• Infrastructure as Code experience preferred

AI & LLMs

• Hands-on use of Claude Code or similar tools
• Prompt engineering and hallucination mitigation
• Conversational AI and NLP experience

Data

• MongoDB / MongoDB Atlas
• Caching, indexing, and multi-tenant data patterns

Desired skills

• Experience with low-bandwidth or offline-first systems
• Understanding of secure, distributed deployments
• Exposure to healthcare, logistics, or maritime systems

Experience & Education

• 5+ years software development
• 2+ years AWS serverless
• 1+ year AI-assisted development
• Degree in Computer Science or equivalent experience

Personal Attributes

• Strong problem-solving and critical thinking
• Comfortable reviewing AI-generated code
• Clear communicator and reliable team contributor
• Self-driven, detail-oriented, and adaptable

Why join FrontM?

Above-Market Compensation: We believe in rewarding talent, offering a salary package that reflects your skills and potential.

Long-Term Career Growth: As FrontM expands, so will your opportunities. We are committed to helping our team members develop their careers, offering mentorship, learning opportunities, and the chance to take on more responsibility.

Cutting-Edge Technology: Work with the latest in JavaScript frameworks, AI, LLMs, and GPT models, contributing to a platform that’s at the forefront of technological innovation.

Make a Real Impact: This is your chance to work on something that matters—to build solutions that directly improve the quality of life for thousands of people worldwide.

Roles & Responsibilities

What You'll Do

•    Design and build the core Node.js services and REST APIs from scratch, built to scale as we grow.

•    Own system design end to end: service boundaries, data flow, caching, queueing, failure modes, and scale.

•    Ship AI/ML-powered features, including LLM and agentic capabilities.

•    Use LLMs and agentic tooling across the SDLC, from design and code generation to testing and debugging.

•    Model data and optimize SQL/NoSQL queries for performance; integrate with third-party platforms.

•    Debug production issues, own reliability, and set the engineering standards the rest of the team will grow into.

Ideal Candidate

What You'll Bring

•     Experience: 6+ years building production backend systems in Node.js for B2C products at meaningful scale.

•     System Design: This one matters a lot to us. You can reason clearly about scalability, reliability, and trade-offs under real constraints.

•     Fundamentals: Strong grasp of API design, service-oriented architecture, data structures, algorithms, and clean code.

•     Databases: Depth in SQL and/or NoSQL, data modeling, query optimization, and performance tuning.

•     AI-Native: You already use LLMs and agentic approaches to maximize your own efficiency as an engineer.

•     Mindset: You enjoy the pace and breadth of a small team, and you are happy picking up whatever moves the product forward.

About Logikality

Logikality is building AI-powered enterprise platforms for the Financial Services, Mortgage, Title, and Banking industries. We are creating cloud-native, multi-tenant SaaS products that combine AI, workflow automation, and enterprise-grade security.

Job Description

We are seeking an experienced Site Reliability Engineer (SRE) to improve the reliability, scalability, performance, and operational excellence of cloud and hybrid infrastructure. The role focuses on automation, observability, incident management, platform operations, disaster recovery, and system reliability across mission-critical applications.

Key Responsibilities

• Manage and optimize cloud infrastructure and application platforms on AWS.
• Build and maintain monitoring, alerting, and observability solutions using CloudWatch, Prometheus, Grafana, and ELK.
• Automate infrastructure provisioning, configuration management, and operational tasks using Python, Bash, Ansible, and AWS services.
• Improve platform reliability, availability, scalability, and performance.
• Support incident response, root cause analysis, and problem management.
• Implement backup, disaster recovery, and business continuity solutions.
• Ensure system security, compliance, and operational best practices.
• Collaborate with development, infrastructure, networking, and security teams to enhance platform stability.
• Drive continuous improvement through automation, operational excellence, and reliability engineering practices.

Required Skills

• Strong experience in Site Reliability Engineering, or DevOps
• Hands-on AWS experience (EC2, VPC, IAM, EBS, S3, CloudWatch).
• Scripting experience with Python and Bash.
• Experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, ELK).
• Configuration management experience (Ansible, AWS SSM).
• Knowledge of backup, disaster recovery, and high-availability architectures.
• Experience supporting production environments and incident management.
• Experience with cloud migrations and infrastructure modernization.
• Financial Services domain experience.
• Experience supporting large-scale enterprise environments.
• AWS certifications (Solutions Architect, SysOps Administrator, DevOps Engineer).
• Strong problem-solving and troubleshooting abilities.
• Excellent communication and collaboration skills.
• Ability to perform effectively during incidents and critical situations.
• Ownership mindset with a focus on reliability and operational excellence.

Why Join Logikality

• Opportunity to build a platform from an early stage
• Direct exposure to leadership and product strategy
• Work on cutting-edge AI and enterprise automation products
• Significant growth opportunities for high performers

This will be a full-time in-office role based in Bangalore. Immediate joiners are preferred.

About Logikality

Logikality is building an AI-native mortgage intelligence platform for the U.S. mortgage industry. We are reimagining how mortgage operations are executed by combining AI, workflow automation, and domain expertise to solve one of the most document-intensive and decision-heavy industries in the world.

Our platform goes beyond document extraction. We are building AI systems that understand mortgage files, reason across multiple sources of information, identify risks and exceptions, support underwriting and quality control decisions, and continuously improve through expert feedback and rigorous evaluation.

Job Description

We are looking for a Generative AI Engineer to build and scale Logikality's AI-native mortgage platform.

The role requires strong hands-on engineering expertise in designing, building, and deploying production-grade Generative AI systems that power intelligent mortgage operations. You will work across LLM applications, AI agents, retrieval systems, reasoning workflows, backend services, APIs, and cloud infrastructure to transform complex mortgage workflows into reliable AI products.

This is a high-ownership role for someone who can rapidly convert business problems into scalable AI solutions with minimal supervision.

Key Requirements

• 3 to 8 years of experience in software engineering, AI engineering, or Generative AI development, preferably in startup environments. 
• B.E./B.Tech. in Computer Science or a related engineering discipline a premier engineering institution (e.g., IITs, IISc, NITs, BITS Pilani, or top-tier global universities).
• Proven experience independently owning projects end-to-end from solution design and model integration to production deployment, monitoring, and maintenance. 
• Strong proficiency in Python and modern backend development. 
• Hands-on experience building production-grade applications using Large Language Models (LLMs). 
• Experience with agentic AI frameworks, multi-agent workflows, function/tool calling, structured outputs, and prompt engineering. 
• Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search, and knowledge retrieval systems. 
• Experience integrating commercial and open-source foundation models (OpenAI, Anthropic, Gemini, Llama, Mistral, or similar). 
• Experience building AI pipelines using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or equivalent orchestration frameworks. 
• Strong understanding of model evaluation, hallucination mitigation, guardrails, prompt optimisation, and LLM observability. 
• Experience with OCR, document intelligence, structured information extraction, or multimodal AI systems is preferred. 
• Strong knowledge of APIs, databases, cloud infrastructure, Docker, Kubernetes, and CI/CD pipelines. 
• Ability to design scalable, secure, and production-ready AI architectures. 
• Strong debugging skills, systems thinking, and an ownership mindset with the ability to move quickly in an early-stage startup. 

Preferred Experience

• Experience building AI copilots, autonomous agents, or enterprise AI assistants. 
• Familiarity with MCP, AI tool integration, and agent orchestration. 
• Experience fine-tuning, distillation, or evaluation of open-source LLMs. 
• Knowledge of AI safety, governance, and responsible AI practices. 
• Experience working with document-heavy enterprise domains such as financial services, banking, insurance, healthcare, legal, or mortgage technology. 
• Experience deploying AI applications on AWS, Azure, or GCP. 

What You'll Build

• AI agents that automate mortgage underwriting, quality control, compliance, and document review. 
• RAG-based knowledge systems that reason across large collections of mortgage documents. 
• Intelligent workflows combining LLM reasoning with deterministic business rules. 
• Production-grade AI APIs and backend services powering Logikality's platform. 
• Evaluation pipelines to continuously improve AI quality, accuracy, latency, and cost. 

Why Join Logikality?

At Logikality, you'll work on problems that require genuine reasoning, not just text generation. You'll help build AI systems that understand complex documents, synthesise information across workflows, explain decisions, identify exceptions, and improve through continuous learning and expert feedback.

This will be a full-time in-office role based in Bangalore. Immediate joiners are preferred.