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Key Responsibilities  

• Design, build, and optimize scalable data pipelines for AI/ML applications.
• Develop, train, evaluate, and deploy Machine Learning and Deep Learning models.
• Build production-ready LLM applications using Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
• Fine-tune open-source and foundation models using domain-specific datasets.
• Develop and maintain end-to-end MLOps pipelines for model deployment, monitoring, and lifecycle management.
• Perform data preprocessing, feature engineering, exploratory data analysis (EDA), and model evaluation.
• Develop APIs and AI services for production deployment.
• Collaborate with cross-functional teams to deliver scalable AI-driven solutions.
• Monitor model performance, troubleshoot production issues, and maintain technical documentation.

Required Skills  

Mandatory  

• 1–3 years of experience in Data Science, Data Engineering, or AI/ML development.
• Strong programming skills in Python and SQL.
• Hands-on experience with Machine Learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience building LLM-powered applications using RAG, Prompt Engineering, and Embeddings.
• Hands-on experience with LangChain, LlamaIndex, CrewAI, or n8n for LLM orchestration and AI workflow automation.
• Experience in LLM fine-tuning and working with Hugging Face models.
• Knowledge of MLOps concepts including model deployment, monitoring, versioning, and CI/CD.
• Experience with Git, REST APIs, Linux environments, and data processing libraries.

Preferred  

• Experience with vector databases such as Pinecone, Chroma, Milvus, or Weaviate.
• Familiarity with Docker, Kubernetes, and MLflow.
• Exposure to Apache Spark or Airflow for data engineering workflows.
• Experience with cloud platforms (AWS, Azure, or GCP).

Primary Technology Stack  

• Languages & Data Processing: Python, SQL, Pandas, NumPy, Apache Spark
• AI & Machine Learning: PyTorch, TensorFlow, Scikit-learn
• Application Frameworks: LangChain, LlamaIndex, CrewAI, n8n
• Core Methodologies: Retrieval-Augmented Generation (RAG), Model Fine-Tuning, Prompt Engineering, Embeddings
• Models & Infrastructure: OpenAI APIs, Hugging Face Ecosystem, Embedding Models
• Vector Databases: Pinecone, Chroma, Milvus, Weaviate
• Databases: PostgreSQL, MongoDB
• MLOps & DevOps: Docker, Kubernetes, MLflow, CI/CD, Git
• Cloud Platforms: AWS, Azure, GCP

Experience: 1–3 Years

Domain: Data Science | Data Engineering | Machine Learning | Generative AI | MLOps

We are seeking a high-caliber Senior Full-Stack Engineer to lead the design, development, and deployment of our next-generation intelligent applications. In this role, you will bridge the gap between robust full-stack architecture and smart artificial intelligence integrations. You will be responsible for building scalable Node.js microservices, crafting intuitive React interfaces, and embedding AI capabilities (such as LLM APIs, autonomous agents, and smart workflows) to solve complex user problems.

As a senior member of the team, you will champion technical excellence, mentor junior developers, and influence our product roadmap.

Key Responsibilities:

AI Integration & Engineering

• Architect and implement backend systems that interface with Large Language Models (LLMs) and other AI services via APIs (e.g., OpenAI, Anthropic, or custom internal model endpoints).
• Build middleware to handle prompt engineering, context orchestration, and structural parsing of AI responses into application logic.
• Implement guardrails, caching layers, rate-limiting, and evaluation metrics for AI model outputs to ensure reliability, security, and cost-efficiency.
• Stay up-to-date with emerging generative AI patterns, model capabilities, and integration techniques to drive product innovation.

Full-Stack Development

• Backend: Build, scale, and maintain highly performant, secure, and production-ready RESTful APIs and GraphQL services using Node.js (TypeScript / Express).
• Frontend: Develop responsive, state-managed, and visually seamless user interfaces using React.js and modern state management libraries (e.g., Redux Toolkit, Zustand, React Query).
• Optimize application performance across the stack—from database query optimization to frontend rendering bottlenecks.

Architecture & Leadership

• Lead architectural decisions, promoting modular design, code reusability, and scalable system infrastructure.
• Enforce high engineering standards through rigorous code reviews, automated testing (unit, integration, E2E), and comprehensive documentation.
• Mentor and coach junior and mid-level engineers, fostering a culture of continuous learning and technical growth.
• Work closely with Product Managers, UX Designers, and stakeholders to translate ambitious product visions into concrete technical execution.
• 
  

Technical Skills & Qualifications

Required Experience

• Experience: 5+ years of professional software development experience, with a proven track record of shipping production-grade SaaS applications.
• Node.js Ecosystem: Deep expertise in backend development using Node.js and TypeScript, including asynchronous programming, event-driven architecture, and microservices.
• React Ecosystem: Advanced proficiency in React, hooks, state management, and modern build tools (Vite, Webpack).
• AI Practice: 1–2+ years of practical experience integrating LLM APIs and cognitive workflows into customer-facing applications.
• Databases: Strong proficiency with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB).
• Cloud & DevOps: Familiarity with cloud platforms (AWS, GCP, or Azure), Docker, and CI/CD pipelines.

Soft Skills

• Exceptional problem-solving skills and a proactive "ownership" mindset.
• Strong communication skills, with the ability to explain complex technical or AI concepts to non-technical stakeholders.
• Proven ability to thrive in a fast-paced, iterative environment.

About the Role

This position is designed for a generalist engineer who has experience shipping B2B SaaS features in a startup environment. You will work across the full stack using TypeScript and Postgres while managing cloud systems and modern development tools to build products from the ground up. The role requires a fast-paced approach to problem-solving and a desire to own features from conception to deployment. This is a hybrid role based in Bangalore with a compensation of 20 LPA.

What You'll Do

• Build and ship production-ready B2B SaaS features.
• Own features from design through deployment.
• Develop full-stack applications using TypeScript.
• Design and optimize Postgres databases.
• Deploy and maintain applications on cloud platforms.
• Collaborate closely with product and design teams.
• Use modern development tools and AI-assisted coding workflows to improve engineering velocity.

Required Skills

• Full-stack software engineering experience in an early-stage startup.
• Experience shipping production features used by real customers.
• Strong proficiency with TypeScript.
• Strong understanding of Postgres and relational database design.
• Experience deploying and maintaining cloud-based applications.
• Familiarity with modern coding tools and AI-assisted development workflows.

Preferred Background

• 1–2 years of experience after graduation or equivalent startup internship.
• Experience at Seed or Series A startups.
• Comfortable taking ownership with minimal supervision.
• Passion for building products in fast-paced startup environments.

Must-Haves

• Early-stage startup experience.
• Full-stack engineering background.
• TypeScript expertise.
• Postgres expertise.
• Cloud systems knowledge.
• Experience shipping production features to real users.

Nice to Have

• Experience with B2B SaaS products.
• Exposure to modern AI-assisted development tools.
• Experience working directly with founders or small engineering teams.

Job description

Logikality is an early-stage AI company building mortgage operations software for the US market. We are hiring Management Interns who can think across functions and move fast with limited direction.

What You Will Do:

• Work across product, GTM, sales operations, and content - based on business priority at any given time
• Conduct market and competitive research to support product and sales decisions
• Build and maintain sales enablement materials, prospect trackers, and outreach sequences
• Support execution on live campaigns, conference prep, and investor materials
• Identify operational gaps and propose structured solutions

What You Need

• Currently enrolled in (final year) or recently completed an MBA or equivalent program
• Ability to own a workstream from brief to output with minimal hand-holding
• Strong written communication - clear thinking shows in clear writing
• Advanced knowledge of using AI tools, like, Claude, ChatGPT, etc.
• Interest in B2B SaaS, fintech, or AI

Location: Bangalore

Work Mode: Full-time 100% In-office

Internship Duration: 6 months

What after the Internship Period: Successful interns will be converted into full-time management roles

A BIT ABOUT US

Appknox is one of the top Mobile Application security companies recognized by Gartner and G2. A profitable B2B SaaS startup headquartered in Singapore & working from Bengaluru.

The primary goal of Appknox is to help businesses and mobile developers secure their mobile applications with a focus on delivery speed and high-quality security audits.

Appknox has helped secure mobile apps at Fortune 500 companies with major brands spread across regions like India, South-East Asia, Middle-East, US, and expanding rapidly. We have secured 300+ Enterprises globally.

We are a 65+ incredibly passionate team working to make an impact and helping some of the biggest companies globally. We work in a highly collaborative, very fast-paced work environment. If you have what it takes to be part of the team, we are excited and let’s speak further.

The Opportunity

To join the security team engaging with multiple clients, helping them with end to end security audits, also research about new topics and vulnerabilities to be added to the scanner, present it in conferences.

What An Ideal Candidate Would Look Like: 

• Skills - Application Penetration Testing (Web, iOS and Android) and experience with IoT testing
• Technology Stack: AWS, GCP, Objective C, Java, Python, Java/Type script
• Responsibilities: Engage with clients for scoping call, perform security audits, remediation call with clients to patch the issues, research on new technologies/vulnerabilities

Minimum Requirements

• Should have 1-3 years of full-time experience in application VAPT or show something that proves experience doesn’t matter
• Strong Analytical Skills and critical skills 
• Strong grasp of fundamentals of information security
• Self-taught learner willing to read and keep up-to-date on technological changes and how they could be used
• Can accurately define an issue and create detailed Proof-of-concept and write-up of the findings.
• Provide appropriate remediation and mitigations of the identified vulnerabilities.

Responsibilities

• Security assessment of web/mobile applications on various platforms
• Focusing on Mobile Application Security
• Static and Dynamic Code Analysis
• Develop and interpret security standards and guides
• Automation of security test cases
• Understand and explain the results with impact on business and compliance status
• Continuously learning and training on latest tools and technique

Work Expectations

Within 2 months

Training on processes, security workflow

Within 3 months

Pentesting web, mobile, API endpoints/ Submitting vulnerabilities to 

Within 1 year

Research and publish whitepapers, contribute to the Appknox Scanner

Personality traits we really admire:-

• A confident and dynamic working persona, which can bring fun to the team, and a sense of humour, is an added advantage.
• Great attitude to ask questions, learn and suggest process improvements.
• Has attention to details and helps identify edge cases.
• Highly motivated and coming up with fresh ideas and perspectives to help us move towards our goals faster.
• Follow timelines and absolute commitment to deadlines.

Interview Process - would be team specific

• Round 1- CTF round 
• Round 2 - Profile Evaluation; HR
• Round 3 -Technical Interview with security team members
• Round 4 -Technical Interview with the Hiring Manager
• Round 5 - HR Round

Compensation

• As per Industry Standards

 Personality Traits We Really Admire:

• A confident and dynamic working persona, which can bring fun to the team, and a sense of humour, is an added advantage.
• Great attitude to ask questions, learn and suggest process improvements.
• Has attention to details and helps identify edge cases.
• Highly motivated and coming up with fresh ideas and perspectives to help us move towards our goals faster.
• Follow timelines and absolute commitment to deadlines.

Why Join Us

• Freedom & Responsibility: If you are a person who enjoys challenging work & pushing your boundaries, then this is the right place for you. We appreciate new ideas & ownership as well as flexibility with working hours.
• Great Salary & Equity: We keep up with the market standards & provide pay packages considering updated standards. Also as Appknox continues to grow, you’ll have a great opportunity to earn more & grow with us. Moreover, we also provide equity options for our top performers.
• Holistic Growth: We foster a culture of continuous learning and take a much more holistic approach to train and develop our assets: the employees. We shall also support you all on that journey of yours.
• Transparency: Being a part of a start-up is an amazing experience, one of the reasons being open communication & transparency at multiple levels. Working with Appknox will give you the opportunity to experience it all first-hand.

Company Name- WINIT

Location- Hyderabad

Position- Data Scientist

Experience- 0-1 year

We are seeking a talented Data Scientist proficient in data science, machine learning, deep learning, computer vision, simulation, feature engineering, Python, and SQL. 

Responsibilities:

• Develop and implement machine learning and deep learning algorithms for image recognition tasks.
• Utilize computer vision techniques to extract meaningful information from images.
• Collaborate with software engineers to integrate image recognition models into existing systems.
• Design and implement simulation models for route optimization, demand forecasting, and trade promo optimization scenarios.
• Perform feature engineering to extract relevant features for optimization algorithms.
• Work with large datasets, cleaning, preprocessing, and transforming data as necessary.
• Develop and optimize SQL queries to extract and analyze data from databases.
• Participate in the end-to-end development lifecycle, from problem definition to deployment.
• Stay updated with the latest advancements in machine learning, computer vision, route optimization, demand forecasting, and trade promo optimization techniques.

Requirements:

• Bachelor's or Master's degree in computer science, Data Science, or related field.
• Proven experience in data science, machine learning, and deep learning projects, preferably with a focus on computer vision.
• Strong proficiency in Python programming and experience with relevant libraries such as TensorFlow, PyTorch, OpenCV, etc.
• Solid understanding of SQL for data manipulation and extraction.
• Experience with simulation techniques, route optimization algorithms, demand forecasting, and trade promo optimization is a plus.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

*Stay updated on machine learning/deep learning/reinforcement learning/Generative AI/Time series forecasting/Operations Research

About our company:

Please visit our company website at: www.winitsoftware.com

Key Responsibilities

• Maintain and enhance the Yocto BSP for the TechNexion PICO-IMX6 DualLite (NXP i.MX6) platform.
• Assess and execute migration from Yocto Zeus to a newer LTS release (e.g., Dunfell/Kirkstone).
• Integrate stable Linux kernel patches from NXP and mainline.
• Optimize system boot time, startup sequence, and overall performance.
• Remove unnecessary services and packages to reduce image footprint.
• Update and stabilize the Bluetooth stack (BlueZ and firmware).
• Optimize Linux kernel configuration, power management, and CPU tuning.
• Debug CPU, memory, storage, and I/O performance issues.
• Maintain Yocto layers, build process, and technical documentation.
• Define and maintain eMMC/SD storage layouts for boot, rootfs, data, and update partitions.

Required Skills

Mandatory

5+ years of Embedded Linux development experience.

2+ years of hands-on Yocto Project experience.

Strong expertise in:

• Yocto (recipes, meta-layers, BitBake, bbappend)
• Linux kernel configuration and patching
• NXP i.MX6 or similar embedded platforms
• Systemd optimization and boot profiling
• Embedded Linux debugging (dmesg, perf, ftrace, systemd-analyze)
• BlueZ and Bluetooth bring-up
• Cross-compilation, toolchains, and Git workflows

Preferred

• Yocto LTS migration experience.
• U-Boot optimization.
• Embedded power optimization.
• Secure Boot and OTA update concepts.
• Exposure to Qt-based embedded systems.

Key Deliverables

• Optimized and maintainable Yocto BSP.
• Reduced system boot time.
• Lean system image with redundant services removed.
• Stable Bluetooth stack with updated patches.
• Updated Linux kernel with critical fixes.
• Documented Yocto layers and build process.
• Migration plan for the latest Yocto LTS.
• Defined storage partition layout for deployment.

Experience: 5+ Years in Embedded Linux (Minimum 2+ Years with Yocto)

Key Responsibilities  

1. Define and own the end-to-end automation strategy for an Android-based Instrument Cluster (AOSP/Android Automotive).
2. Design, develop, and maintain automation frameworks for UI, Android system services, boot flows, OTA validation, and Hardware-in-the-Loop (HIL) testing.
3. Automate system validation for boot performance, crashes, ANRs, memory usage, CPU/GPU performance, thermal behavior, and application launch times.
4. Validate power consumption, UI responsiveness, frame rates, Bluetooth, Wi-Fi, and network recovery scenarios.
5. Develop automated validation for CAN signals, ECU interactions, vehicle state transitions, and safety-critical display behavior.
6. Automate OTA testing, including A/B updates, rollback, recovery, and post-update stability.
7. Convert field issues into regression automation suites and support root cause analysis using logs and system traces.
8. Integrate automation into CI/CD pipelines and deliver actionable test reports with regression tracking.

Required Skills  

Mandatory  

1. 7–12+ years of experience in Test Automation for Android or Embedded Systems.
2. Strong experience with Android AOSP or Android Automotive at the system level.
3. Excellent Python programming skills for automation framework development and CI integration.
4. Hands-on expertise with:
5. UI Automator (mandatory)
6. Espresso
7. Monkey / MonkeyRunner
8. Experience with Android debugging and performance tools such as Logcat, Perfetto, Systrace, Dumpsys, and Simpleperf.
9. Strong understanding of CAN, ECUs, vehicle signals, diagnostics, and embedded system validation.
10. Experience integrating automation into Jenkins or GitLab CI pipelines.
11. Working knowledge of Java/Kotlin for Android integration.

Preferred  

1. Experience with Hardware-in-the-Loop (HIL) testing.
2. Knowledge of Android CTS, VTS, GTS, and Android Test Station (ATS).
3. Experience with OTA validation, A/B update mechanisms, and recovery testing.
4. Working knowledge of Yocto is a strong advantage.

Primary Technology Stack  

1. Languages: Python, Java/Kotlin
2. Automation: UI Automator, Espresso, Monkey/MonkeyRunner
3. Android Testing: CTS, VTS, GTS, ATS
4. Performance & Debugging: Perfetto, Systrace, Simpleperf, Dumpsys, Logcat
5. CI/CD: Jenkins, GitLab CI
6. Domain: Android Automotive, Embedded Systems, CAN, ECU, OTA, HIL

Experience: 7–12+ Years

Domain: Android Automotive | Embedded Systems | Test Automation

Location: Bangalore / Hybrid

Duration: 6 months

Internship type: Full-time

Stipend: ₹20,000 per month

Potential outcome: Full-time opportunity based on performance

About the Role

We are looking for a hands-on Supabase Engineering Intern to help build and strengthen the backend of our SaaS products.

You will work with Supabase not merely as a hosted database, but as a complete backend platform—including PostgreSQL, authentication, Row-Level Security, storage, database functions, migrations, and application integrations.

This is a full-time, six-month internship suited to someone who has already built projects using Supabase and wants experience working on a real multi-tenant production application.

What You Will Work On

• Design and maintain PostgreSQL tables, relationships, indexes, and constraints.
• Implement secure multi-tenant access using Supabase Row-Level Security policies.
• Integrate Supabase Auth with a Next.js and TypeScript application.
• Build backend workflows using database functions, triggers, RPCs, and Edge Functions.
• Manage schema migrations across development and production environments.
• Work with Supabase Storage and implement secure file-access policies.
• Diagnose slow queries and improve database performance.
• Build reliable application APIs and data-access layers.
• Write seed data, automated tests, and technical documentation.
• Help investigate and resolve production database, authentication, and permission issues.
• Review existing implementations for data leakage, incorrect RLS policies, and security risks.

Required Skills

• Practical experience building at least one project using Supabase.
• Good understanding of SQL and relational database fundamentals.
• Familiarity with PostgreSQL tables, joins, indexes, constraints, and transactions.
• Experience with JavaScript or TypeScript.
• Basic experience with Next.js, React, Node.js, or another modern web framework.
• Understanding of authentication and authorization concepts.
• Ability to use Git and GitHub.
• Strong debugging and problem-solving skills.
• Ability to commit full-time for the complete six-month internship.

Good to Have

• Experience implementing Supabase Row-Level Security policies.
• Understanding of multi-tenant SaaS architecture.
• Experience with Supabase Edge Functions, database functions, triggers, or RPCs.
• Familiarity with PostgreSQL query optimization and EXPLAIN ANALYZE.
• Experience managing Supabase migrations through the CLI.
• Knowledge of REST APIs, webhooks, background jobs, or third-party integrations.
• Experience using AI coding tools such as Cursor, Claude Code, or Codex.
• Contributions to open-source projects or independently deployed applications.

Who Should Apply

You may be a good fit if you:

• Have built and deployed a working Supabase application.
• Enjoy backend engineering, databases, and debugging.
• Can explain why you structured your database and access policies in a particular way.
• Are comfortable learning through documentation and experimentation.
• Take ownership instead of waiting for detailed instructions for every task.
• Want meaningful product-engineering experience rather than a certificate-based internship.

What You Will Learn

• How production-grade multi-tenant SaaS applications are designed.
• Secure database access using PostgreSQL Row-Level Security.
• Development-to-production database migration workflows.
• Authentication, authorization, storage, and backend architecture.
• Performance optimization and production debugging.
• How a startup engineering team ships and operates real products.

Application Process

To apply, please share:

1. Your resume.
2. GitHub profile.
3. Links to one or two relevant projects.
4. A short explanation of how you used Supabase in one project.
5. An example of an RLS policy, database function, or Edge Function you have written.
6. Your current location and availability.
7. Confirmation that you can commit full-time for six months.

Important: Tutorial-only projects will not be sufficient. We are looking for candidates who can demonstrate that they understand the database and security decisions made in their projects.

About us

EDMO is an AI-powered company that provides enrollment-centric solutions to universities,

colleges, and higher education institutions. By streamlining repetitive tasks—such as document verification, transcript evaluation, SOP/essay reviews, and applicant matching.

EDMO enables its clients to process student applications faster and more accurately. Its intelligent workflows

not only reduce administrative workload but also empower admission advisors to focus on personalized guidance and student engagement.

With features like AI-powered chatbots, Photo ID verification, GPA calculator, and transfer credit evaluation, EDMO ensures transparency and efficiency across the enrollment journey. Institutions using EDMO services report significant time savings, improved decision-making, and

enhanced student satisfaction.

At its core, EDMO is built to reimagine & streamline admissions—making them smarter, quicker, and more human-centric.

Website - https://goedmo.com/

Position Overview

We're seeking an exceptional Lead Software Engineer / Senior Tech Lead who can energize and guide a team of brilliant engineers while driving rapid, high-quality product development using AI and innovative technologies. The ideal candidate brings deep full-stack and backend

engineering expertise combined with strong leadership capability and a hands-on approach to architecture and delivery.

Key Responsibilities

• Lead and mentor a team of 5–8 senior engineers across AI, Salesforce, and full-stack development

• Drive technical strategy and architectural decisions — including backend, API design, and system design — for EDMO's product portfolio

• Own and evolve backend architecture using Node.js / NestJS and front-end solutions in React or Angular

• Define and implement telemetry, observability, and monitoring standards (logging,tracing, alerting) across services

• Foster a culture of innovation, continuous learning, and technical excellence

• Manage sprint planning, code reviews, and technical delivery timelines

• Collaborate closely with product management and design teams

• Guide technical hiring and team scaling decisions

• Ensure code quality, security, and performance standards

• Lead technical discussions with university clients and stakeholders

• Drive adoption of best practices, tools, and development methodologies

Required Qualifications

Experience & Leadership

• 8+ years of software development experience with 3+ years in technical leadership roles

• Must have: Proven track record of leading high-performing technical teams

• Must have: Experience energizing and motivating senior engineers to achieve exceptional results

• Experience with Agile/Scrum methodologies and DevOps practices

• Excellent communication skills with ability to translate technical concepts to non-technical stakeholders

• Experience with performance management, career development, and team building

• Strong problem-solving skills and ability to make decisions under pressure

Technical Stack — Must Have

• Node.js and NestJS — production-grade backend services, microservices, and API design

• TypeScript — Good Have

• React or Angular — front-end development and component architecture

• Backend and system architecture — designing scalable, maintainable, distributed

systems

• Telemetry & monitoring — hands-on experience with logging frameworks, distributed tracing (e.g. OpenTelemetry, Datadog, New Relic, or similar), and alerting pipelines

• Cloud platforms — GCP preferred; AWS or Azure acceptable

• Databases — PostgreSQL, MongoDB, or equivalent; Redis for caching/queuing

• CI/CD — GitHub Actions, Cloud Build, or equivalent pipelines

Additional Technical Background

• Strong background across multiple domains: AI/ML integration, web development, cloud- native architecture• Microservices patterns, API gateway design, event-driven architectures

Preferred Qualifications

• Experience in EdTech, SaaS, or B2B technology companies

• Background in AI/ML or emerging technologies

• Experience scaling engineering teams from startup to growth stage

• Knowledge of the Salesforce ecosystem and integrations

• GCP certifications or demonstrated GCP production experience (Cloud Run, Pub/Sub, BigQuery, GKE)

• Experience building and operating observability stacks (dashboards, SLOs, on-call runbooks)

• MBA or advanced degree in technology or business

• Track record of successful product launches and customer implementations

• Experience working with US-based clients and distributed teams

Leadership Philosophy We Seek

• Servant Leadership: Empowering team members to achieve their best work

• Technical Excellence: Setting high standards while maintaining development velocity

• Growth Mindset: Continuously learning and helping others grow

• Results-Oriented: Delivering measurable business outcomes through technology

• Cultural Builder: Creating an inclusive, innovative, and collaborative team environment

Growth Opportunities

• Path to VP of Engineering

• Opportunity to build and scale EDMO's India engineering organization

• Lead major strategic partnerships and technical initiatives

• Drive innovation in AI-powered educational technology

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 have already made the company profitable. We deliver 1 billion+ APIs every month to B2B customers, and have a B2C website and app.

Tech Stack :

• Postman
• Playwright
• Jenkins

Job Responsibilities :

• Design, develop, and maintain scalable UI and API automation frameworks from scratch.
• Build and execute automated test suites for frontend, backend, and API applications using tech stacks like Playwright, Selenium, and Postman.
• Develop automation for web applications, APIs, and distributed microservices.
• Perform white-box and black-box testing to ensure application quality.
• Integrate automation suites into CI/CD pipelines using tools like Newman and Bruno CLI.
• Identify, track, and resolve defects while improving test stability, execution speed, and overall automation efficiency.
• Collaborate with developers, DBAs, and product managers to ensure quality throughout the development lifecycle.
• Drive continuous improvements in automation frameworks, testing methodologies, and engineering processes.

Required Skills & Qualifications :

• 1-3 years of experience as an SDET, Automation Engineer, or Full-Stack QA.
• Experience with UI automation using Playwright and Selenium.
• Strong experience in API testing and automation using Postman.
• Proficient in JavaScript for building automation scripts, API test assertions, and test utilities.
• Experience with white-box and black-box testing, and automation design patterns such as Page Object Model (POM).
• Familiarity with BDD frameworks (e.g., Cucumber) and modern testing practices.
• Experience with Git and integrating automation suites into CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
• Working knowledge of SQL for database validation and backend testing.

We are looking for a Scrum master who is eager to build a career in the scrum & project management. To apply, click "Apply Now" button in https://gosuperedtech.com/career/scrum-master

We are looking for a AI System Engineer who is eager to build a career in AI systems, automation, backend workflows, cloud infrastructure, and intelligent product operations. Apply in https://gosuperedtech.com/career/ai-system-engineer

We are looking for a Junior Full Stack Developer who is eager to kickstart their career in software development. This role offers a fantastic opportunity to grow by working closely with experienced engineers on real product features that impact thousands of learners. Click "Apply Now" in https://gosuperedtech.com/career/junior-fullstack-developer to apply

We are looking for a Full Stack Developer who is eager to kickstart their career in software development. This role offers a fantastic opportunity to grow by working closely with experienced engineers on real product features that impact thousands of learners. Click "Apply Now" in https://gosuperedtech.com/career/senior-fullstack-developer to apply

The Role:

We are seeking a highly skilled Sr Embedded Software Engineer (Python & C++) to manage and improve the software development lifecycle for device firmware systems. The primary focus of this role is to ensure firmware operational reliability, fail-safe implementation, certification compliance, and robust production deployment.

This role is ideal for an engineer experienced in system-level software, firmware validation, testing automation, and production readiness — but not focused on low-level hardware design.

Experience: 6-10 years

Job Location: Hyderabad

Job Type: Permanent

CORE FOCUS AREAS

• Ensure firmware operates reliably in production environments

• Implement and validate fail-safe mechanisms and fallback logic

• Maintain certification compliance across firmware releases

• Drive robust, repeatable production deployment pipelines

• Support field debugging and OTA update validation

IDEAL CANDIDATE PROFILE

• Strong hands-on experience in Python and C++ development

• Background in system-level software and firmware validation

• Experience with testing automation and production readiness

• Comfortable working closely with embedded engineers

• Not required to have low-level hardware design expertise

KEY RESPONSIBILITIES

FIRMWARE OPERATIONAL STABILITY

• Ensure firmware operates reliably in production environments

• Implement and validate fail-safe mechanisms and fallback logic

• Monitor watchdog systems, timeout handling & safe state transitions

• Work closely with embedded engineers to validate firmware behavior

PYTHON & C++ DEVELOPMENT

• Develop firmware communication layers & device control applications

• Build diagnostic tools and test automation frameworks

• Optimize performance and memory handling in C++ applications

• Develop production-ready Python tools for deployment, logging & validation

FAIL-SAFE & SAFETY IMPLEMENTATION

• Implement safe boot validation, error recovery & redundancy logic

• Build communication retry systems & safe shutdown protocols

• Design state machines for controlled device operation

• Ensure safe-state transitions on power, comms or hardware failure

PRODUCTION DEPLOYMENT & VALIDATION

• Create secure and repeatable firmware deployment pipelines

• Implement boot image validation, signature verification & rollback

• Develop health monitoring and diagnostic utilities & CI/CD Pipelines

• Support field debugging and OTA update validation

Linux Environment

• Work in Linux-based environments for firmware development, debugging, and deployment — including shell scripting, process/service management, and system diagnostics.

• Own unit testing, integration testing & production release management

• Ensure code quality and compliance with internal standards

IoT + AI

Building the tech behind India's Reverse Vending Machines

SUCCESS METRICS

• Firmware reliability — stable, uninterrupted operation in production environments

• Fail-safe coverage — validated fallback logic, redundancy & safe-state transitions

• Linux Environment - Use Linux for development till deployment

• Deployment success rate — secure, repeatable pipelines with clean rollbacks

• Code & release quality — test coverage, code review discipline & CI/CD health

• Field performance — OTA update success and turnaround on field debugging

Role Description: As a Senior Back-End Developer at Ease Commerce, you will design, build, and maintain scalable server-side applications that power our CRM platform. This full-time, on-site role based in Indore involves architecting APIs, optimizing database structures, and ensuring secure, high-performance integrations with front-end interfaces and third-party services. You will review code, mentor developers, and collaborate closely with product, QA, and front-end teams to deliver robust features and enhancements. Day-to-day responsibilities include writing clean, efficient code, troubleshooting production issues, improving system reliability, and contributing to technical decision-making and best practices.

Qualifications

• Develop and maintain backend services and APIs primarily using Node.js.
• Contribute to building scalable and efficient applications.
• Work with frontend teams where required to support full stack development needs.
• Code Quality & Collaboration
• Write clean, maintainable, and well-structured code following best practices.
• Participate in code reviews and collaborate with team members to improve code quality.
• Work closely with cross-functional teams to deliver features on time.
• Problem Solving & Debugging
• Troubleshoot and debug application issues.
• Optimize performance and improve reliability of backend systems.
• Security & Best Practices
• Implement authentication and authorization mechanisms to ensure secure access to applications.
• Follow security and development best practices across services.

Required Qualifications

• 7+ years of experience in Node.js development.
• Experience with any one of the Node.js frameworks: Fastify, Express, or NestJS.
• Experience with SQL and NoSQL databases.
• Familiarity with authentication and authorization mechanisms.
• Good problem-solving and debugging skills.
• Ability to work effectively in a collaborative team environment.
• Background in designing scalable architectures for SaaS or CRM products is highly beneficial.
• Ability to work on-site in Indore, collaborate in cross-functional teams, and mentor junior developers.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

About the team and this role:

This is a part-time role working directly with our Product Marketing Managers on all things design. You will be responsible for shaping how our brand looks, feels, and moves across all customer touchpoints. From static assets to motion graphics, from event branding to product storytelling, you’ll be the creative engine behind our marketing. This means producing high-quality designs at speed and at scale, across multiple formats and channels. 

We’re looking for someone who thrives in a fast-paced, cross-border SaaS environment, works seamlessly across time zones, and blends creative craft with sharp execution. You’ll collaborate closely with Product, Sales, and Marketing teams to make our story visually compelling, consistent, and impactful for US and global audiences.

Responsibilities: 

• Design & Motion: Create stunning visual content including graphics, motion videos, explainer animations, product visuals, landing pages, ebooks, pitch decks, social ads, and more. Be a one-person studio who can bring ideas to life.
• Website Design: Work closely with the marketing team to design, refresh, and optimize web pages (landing pages, feature pages, comparison pages) for clarity, impact, and conversion.
• Brand Guardian: Ensure all designs are consistent with our brand guidelines while evolving the look and feel to keep things fresh, modern, and memorable.
• Marketing Support: Collaborate with the marketing team to amplify campaigns across social media, web, newsletters, podcasts, events, and sales enablement materials.
• Content Factory: Design for scale, with multiple social posts per week, newsletters, video edits, case study layouts, event branding, and more.
• Innovation: Use AI and the latest design tools to streamline workflows and accelerate creative output.
• Measurement: Track performance of creative campaigns, test new formats, and optimize designs for impact.

Who we’re looking for:

• 1–3 years of relevant experience, ideally at a US-focused B2B SaaS company or fast-paced startup.
• Proficiency in Figma, Adobe AfterEffects, Illustrator, Photoshop, and other relevant tools. 
• Comfort with multiple design and AI tools, with speed as a top priority.
• A strong portfolio that showcases motion graphics, digital design, and brand identity work.
• Extreme proactiveness. We won’t micromanage you - you need to be a self-starter who takes ownership and gets things done without waiting to be asked.
• Very high attention to detail. 
• Excellent communication skills in English (written and spoken) with a willingness to over-communicate progress and updates.
• This is a 3-month, in-office internship at Inkle Office, HSR Layout, Bangalore, requiring 20 hours per week (Monday–Friday) with flexible timing between 10 AM and 7 PM.

Finance Controller

BondScanner | Sustvest Broking Pvt. Ltd.

Location: Bangalore (in-office)

Reports to: Co-Founder & CEO

Experience: 8–10 years; CA qualified (mandatory)

Scope: Controllership + asset-liability / treasury management for the BondScanner entity

Team: Builds and leads a small finance function

About BondScanner

BondScanner is India's retail-native bond platform — operated by Sustvest Broking Pvt. Ltd., a SEBI-

registered Online Bond Platform Provider (OBPP). We give retail Indian investors zero-brokerage

access to listed corporate bonds and government securities. Built on rails proven by our predecessor

platform Tap Invest, which served HNI investors at meaningful scale, BondScanner is the retail

expansion of that thesis — and one of the fastest-growing platforms in India's bond market. We're

backed by leading fintech founders and institutional investors, and we're scaling fast.

Why this role matters

As a SEBI-registered stockbroker, BondScanner runs on a foundation of trust — client funds

segregation, daily reconciliation, and clean books are not back-office hygiene, they are the licence to

operate. You will own the finance function end-to-end for the entity: the books, the regulatory filings, the

audits, the client-funds discipline, and the liquidity and capital management that keep us compliant and

investor-ready as we scale. This is a build-and-own role reporting directly to the CEO, with a clear path

to Head of Finance as the business grows.

What you'll own

1. Controllership

• Books of accounts and IndAS-compliant financial statements for Sustvest Broking — accurate,

timely, and audit-ready.

• Statutory and tax audits, internal audits, and SEBI / exchange inspections — owning

preparation, response, and remediation end-to-end.

• All statutory and regulatory filings: SEBI half-yearly net worth certificates, NSE/BSE stockbroker

compliance returns, GST, TDS, advance tax, and MCA filings.

• Monthly MIS and management reporting for the founders and board, with a clean, reconciled

view of revenue, costs, and profitability.

2. Client funds & settlement discipline

• Daily and weekly reconciliation of client funds across pool and settlement accounts, ensuring

complete segregation from the firm's own funds.

• Ownership of the upstreaming of client funds to the clearing corporation and the weekly

settlement / running-account settlement obligations under SEBI rules.

• Settlement reconciliations with exchanges and clearing corporations, and OBPP-specific

reporting under the SEBI Master Circular for Stock Brokers.

• Zero tolerance for client-funds shortfalls — you treat the weekly settlement report as a hard,

penalty-bearing deadline, not an accounting nicety.

3. Asset-liability & treasury management

• Manage the entity's liquidity — ensuring funds are available to meet settlement obligations on

time, every cycle.

• Maintain net worth and regulatory capital comfortably above SEBI minimums; model capital

requirements as transaction volumes scale.

• Own day-to-day cash management, bank relationships, and the firm's own treasury (distinct

from client funds).

• Build the liquidity and capital dashboards the founders need to monitor the entity's financial

health in real time.

4. Audit, fundraise & team

• Lead financial diligence support for fundraising rounds — data room, MIS packs, investor Q&A,

and audit coordination.

• Build and maintain a clean, audit-ready data room from day one, so every round and inspection

finds the books in order.

• Hire, lead, and develop a small finance team across accounts, treasury, and compliance

operations.

• Choose and scale the finance stack — ERP, reconciliation, and regulatory reporting tools —

that supports the next phase of growth.

Who you are

Must-have

• CA qualified (Chartered Accountant) — mandatory.

• 8–10 years of post-qualification experience, with meaningful time in a regulated financial

services entity — stockbroker, NBFC, bank, asset manager, or large fintech.

• Hands-on experience with controllership: books, statutory audits, regulatory filings, and board-

level financial reporting.

• Strong understanding of client funds handling, reconciliation, and settlement — or the ability to

ramp on it quickly from an adjacent regulated background.

• Strong IndAS, GST, and direct tax fundamentals.

• Proven ability to build process and lead a small team.

Strongly preferred

• Direct experience in a SEBI-registered stockbroker or OBPP, with familiarity with the Master

Circular for Stock Brokers.

• Experience handling SEBI / exchange inspections first-hand.

• Exposure to a fundraise on the finance side — diligence, data room, investor MIS.

• Familiarity with bond / fixed-income market mechanics — settlement, CCIL, NSDL/CDSL flows.

How you operate

• You're paranoid about reconciliations. A 1% mismatch keeps you up; a 0.01% mismatch makes

you find the bug.

• You're as comfortable in a regulator's office as in a founder offsite, and you can switch registers

without changing the truth.

• You take ownership without being asked. If something's broken in finance, it's yours to fix.

• You think in systems, not tickets — you'd rather fix the root cause once than patch the symptom

monthly.

What we offer

• Competitive compensation benchmarked to senior fintech roles in Bangalore, with meaningful

ESOPs.

• A direct line to the CEO and a seat at the table as we scale and raise.

• The chance to build a finance function from the ground up at one of India's fastest-growing bond

platforms.

• A clear path to Head of Finance as the business grows.

We are seeking an experienced, hands-on SDE 1/2 - FE to build and optimize scalable, user-friendly applications with a focus on micro frontend architectures. The ideal candidate will blend strong UI engineering skills with modern frontend practices, ensuring responsive, secure, and high-quality experiences aligned with business needs.

Responsibilities

●      Design & Build: Develop scalable, performant front-end applications using React, TypeScript, and Micro Frontend architecture.

●      Code Quality: Review PRs, enforce best practices, and introduce patterns to reduce technical debt.

●      UI/UX Excellence: Deliver pixel-perfect, responsive, and accessible UIs across devices and browsers.

●      Performance: Optimise rendering, bundling, caching, and load times for smooth user experiences.

●      Mentorship: Guide and mentor mid/junior engineers, run design/code walkthroughs, and foster a culture of technical excellence.

●      AI-driven Development: Leverage AI tools to accelerate coding, debugging, testing, and documentation in day-to-day workflows.

Criteria:

Experience: 2-3 years in software development, with proven expertise in React, modern frontend architectures, and building scalable user interfaces.

Technical Skills

●      Strong proficiency in React.js (v17+), TypeScript, and modern frontend workflows.

●      Experience with Micro Frontend architectures (e.g., Module Federation, Webpack, or similar approaches).

●      Solid expertise in HTML5, CSS3, and mandatory proficiency with Bootstrap for responsive design.

●      Knowledge of Blade templates for frontend-backend integration.

●      Good-to-have: Tailwind CSS and Material UI for component-based design systems.

●      Deep understanding of state management (Redux, Recoil, or equivalent).

●      Experience with frontend performance optimisation and browser dev tools.

●      Familiar with testing frameworks (Jest, React Testing Library, Cypress).

●      Proficiency with Docker and containerised environments.

●      Experience with CI/CD pipelines for frontend deployments.

●      Ability to effectively use AI-powered tools for code generation, refactoring, documentation, and productivity improvements.

Soft Skills

●      Clear and effective communication.

●      Strong sense of ownership and accountability.

●      Ability to break down complex problems and provide accurate estimates.

●      Openness to adopt new tools/technologies to improve team efficiency.

AI/ML Engineer – Fresher

Location: Remote

Experience: 0–1 Year

About the Role

We are looking for a Fresher/AI-ML Intern who has hands-on experience through internships, academic projects, hackathons, or personal projects and is interested in building AI solutions for the Higher Education and SaaS domain.

Required Skills

• Strong knowledge of Python and basic ML/AI concepts
• Hands-on experience with LLMs, RAG, AI Agents, Prompt Engineering
• Knowledge of LangChain / LangGraph / LlamaIndex
• Exposure to PyTorch / TensorFlow / Hugging Face
• Basic experience with FastAPI / REST APIs
• Knowledge of Vector Databases – Pinecone, Qdrant, ChromaDB, FAISS, or pgvector
• Basic understanding of Git, Docker, and AWS
• Good understanding of Computer Vision / NLP is a plus

Preferred Project Experience

Candidates with projects/internships in any of the following will be preferred:

• RAG / LLM / AI Agents
• Computer Vision / CCTV / Video Analytics
• Face Recognition
• OCR / OMR
• Trading / Financial AI
• NLP / Document Intelligence
• AI Automation / EdTech / SaaS

Who Can Apply?

• Freshers or candidates with 0–1 year experience
• Candidates with relevant AI/ML internship experience
• Must have at least 1–2 hands-on AI/ML projects and be able to explain the implementation clearly.

If you are passionate about AI/ML and want to work on real-world AI applications, we would love to hear from you.

About KrisAtWork

KrisAtWork is an AI work companion designed for go-to-market functions to drive higher revenue and enhance efficiency. It offers real-time intelligence and step-by-step guidance, all through a single, centralized window to improve business productivity and outcomes. At KrisAtWork, we believe everything meaningful starts with people - those who build with us, and those we build for - united by a shared ambition to make work smarter.

About the Role

As a Customer Success/Technical Account Manager, you will own the end-to-end post-sales relationship and ensure customers realize maximum value from their investment. You will act as a trusted advisor, technical expert, and strategic partner, driving adoption, delivering measurable business outcomes, and ensuring long-term retention and expansion.

What You’ll Do

Deliver Customer Value

• Develop a deep understanding of customer goals, workflows, and technical environments to map them to platform capabilities, best practices, and measurable business outcomes.
• Run value check-ins, business reviews, and optimization sessions to ensure customers consistently realize ROI.
• Provide consultative guidance, platform enablement, training, and solution recommendations to maximize value and improve end-user experience.

Drive Adoption & Platform Success

• Lead customers through adoption of new features, use-cases, and modules across different teams, regions, and business units.
• Be hands-on with the platform; stay current on product capabilities, integrations, and AI-driven enhancements.
• Proactively identify efficiency gains, automation opportunities, and configuration improvements to drive increased usage and ROI.

Lead Technical Implementation & Solution Delivery

• Support onboarding, configuration, integration validation, and rollout activities to ensure smooth technical implementation.
• Understand customer architecture, data flows, and system dependencies to advise on scalable, secure, and optimized setups.
• Coordinate with engineering, product, support, and services to resolve issues and influence roadmap priorities.

Build Strategic Relationships & Champions

• Serve as the customer’s day-to-day strategic advisor and trusted technical partner.
• Build strong, multi-level relationships with senior stakeholders, end users, and technical teams.
• Develop internal champions who advocate for the platform and support expansion opportunities.

Manage Account Health & Governance

• Track and manage key performance indicators across adoption, consumption, value realization, and retention.
• Establish strong operational discipline with regular check-ins, executive business reviews, and early-warning risk management.
• Own renewal readiness and partner with Sales to identify upsell/cross-sell opportunities.

Advocate For The Customer

• Act as the internal voice of the customer, communicating needs, challenges, and enhancement requests to product and engineering teams.
• Partner cross-functionally to ensure seamless end-to-end experience across support, services, product, and sales.

Who You Are & What Makes You Qualified

Experience & Skills

• 3+ years in B2B SaaS account management, customer success, technical account management, and/or implementation roles.
• Strong understanding of web technologies, APIs, integrations, SaaS platforms, CRM, and/or social media technologies.
• Excellent communication, stakeholder management, and executive-level presentation skills.
• Strong analytical and problem-solving mindset; ability to derive insights, harmonize data, and build business cases.
• Skilled at breaking down complex issues, articulating technical concepts clearly, and driving structured resolutions.
• Ability to manage multiple projects simultaneously in a fast-paced, deadline-driven environment.
• Passion for solving customer challenges, driving outcomes, and delivering exceptional customer experience.
• Experience with customer engagement platforms, Go-To-Market technologies or omnichannel digital tools is a plus.
• Hands-on familiarity with workflow tools, analytics, data visualization, AI-driven solutions, and enterprise integrations.
• Bachelor's degree in a technical, engineering, or related discipline; advanced degree preferred.

Job Summary:

We are looking for a skilled Data Scientist with strong expertise in demand forecasting, predictive analytics, and emerging Generative AI technologies. The ideal candidate should have hands-on experience in machine learning, deep learning, NLP, and LLM-based solutions, along with proficiency in Python, SQL, Power BI, and advanced Excel. This role involves building scalable forecasting models and leveraging AI/GenAI to deliver actionable business insights.

Key Responsibilities:

• Develop and deploy demand forecasting models using machine learning and deep learning techniques.
• Analyze historical data to identify trends, seasonality, and demand patterns.
• Build predictive models to improve supply chain and inventory planning.
• Work with large datasets using Python and SQL for data extraction, transformation, and analysis.
• Design dashboards and reports using Power BI for business stakeholders.
• Utilize advanced Excel techniques (Pivot Tables, Power Query, formulas) for analysis and reporting.
• Build and integrate NLP-based solutions for text data analysis and insights.
• Develop and implement LLM-based applications using Generative AI frameworks.
• Design and deploy RAG (Retrieval-Augmented Generation) pipelines for intelligent data retrieval and response generation.
• Collaborate with cross-functional teams (operations, finance, product) to align forecasting and AI solutions.
• Continuously improve model accuracy and performance through experimentation and optimization.

Required Skills:

• Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
• Solid understanding of machine learning & deep learning algorithms.
• Experience in demand forecasting / time-series analysis (ARIMA, Prophet, LSTM, etc.).
• Hands-on experience with NLP techniques and libraries (NLTK, SpaCy, Transformers).
• Experience working with LLMs and Generative AI frameworks (OpenAI, Hugging Face, LangChain, etc.).
• Strong understanding of RAG architectures and vector databases (FAISS, Pinecone, etc.).
• Advanced knowledge of SQL for data manipulation.
• Hands-on experience with Power BI for visualization and reporting.
• Expertise in advanced Excel (Power Query, dashboards, data modeling).
• Strong analytical and problem-solving skills. 

Preferred Qualifications:

• Experience in supply chain, logistics, or e-commerce forecasting.
• Knowledge of cloud platforms (AWS, Azure, or GCP).
• Familiarity with data pipelines and ETL processes.
• Understanding of business metrics and KPIs related to demand planning.

We are looking for an exceptional, visionary Design Head to take complete ownership of our product aesthetic and design concepting.

This is a high-impact Individual Contributor role. We aren't looking for a traditional manager who delegates from a distance; we are seeking a hands-on master of the craft—a design leader who lives and breathes trend innovation, lace, silk, precision fit, and intricate garment construction. You will be the creative soul behind Saint Roman, taking ideas from pure imagination to market-ready luxury collections.

Key Responsibilities

1. Creative Vision &Concepting

• Lead end-to-end design concepting, mood boards, color palettes, and seasonal themes that align with Saint Roman’s premium brand identity.
• Research and forecast global trends in high-end lingerie, sleepwear, and loungewear, translating them into fresh, market-leading designs.

2. Hands-On Design & Product Development

• Translate concept ideas into detailed tech packs, flat sketches, and detailed specifications for production.
• Conceptualize unique silhouettes, intricate lace placements, embroidery, and signature hardware.

3. Fabric & Material Mastery

• Utilize deep expertise in luxury textiles (silks, delicate laces, premium meshes, modal, satin, sustainable fabrics) to source and select the best materials.
• Work closely with fabric mills and suppliers to develop exclusive materials, trims, and finishes.

4. Fit, Construction & Quality

• Spearhead fit sessions to ensure impecable fit, comfort, and structural integrity across diverse body types.
• Bring deep technical knowledge of corset construction, underwires, pattern making, and delicate stitching techniques.
• 
  

What We Are Looking For

• Experience: 8+ years of specialized experience in lingerie, intimate apparel, or luxury nightwear design.
• Technical Mastery: In-depth knowledge of lingerie garment construction, pattern making, grading, and technical fit standards.
• Fabric Expertise: A profound understanding of delicate fabrics, stretch dynamics, lace engineering, and luxury trims.
• Hands-On Craftsmanship: High proficiency in Adobe Creative Suite (Illustrator, Photoshop) and hand-sketching.
• Autonomous Ownership: Proven ability to drive the creative process independently from initial spark to final prototype.
• Portfolio Required: A strong portfolio demonstrating creative concepting, technical tech packs, and finished luxury intimate apparel designs.
• 
  

Why Join Saint Roman?

• Total Creative Freedom: Be the primary creative voice shaping the visual future of a premium brand.
• Focus on Craft: Spend your time designing, innovating, and working with top-tier materials rather than managing large administrative teams.

We are seeking an experienced, hands-on Backend Team Lead to architect and deliver robust, scalable systems while mentoring a team of developers. The ideal candidate will bridge strategic technical vision with practical execution, ensuring high-quality solutions aligned closely with business objectives and technology best practices.

Responsibilities:

●      Architect, design and deliver mission-critical modules end-to-end

●      Write production-grade code daily; lead reviews, debugging, refactoring

●      Embed TDD, CI/CD, design principles, and engineering best practices

●      Develop high-performance, scalable backend systems that power global products

●      Partner with Team Lead, PMs, QA, and product designers to define and execute features

Criteria:

●      6+ years of backend development experience; 2+ years in technical leadership

●      Experience in leading a team of atleast 3-4 engineers

Preferred Skills:

●      Extensive experience with Laravel, Node.js, Python, MySQL, MongoDB

●      Passionate about writing clean, testable, modular code using design patterns

●      Solid understanding and experience with cloud infrastructure, preferably AWS (ECS, Aurora, Lambda, S3, CloudFront etc), including scaling, and security best practices.

●      Demonstrated expertise in building and maintaining systems using a microservices architecture, with an emphasis on scalability, reliability, and maintainability.

●      Familiarity and practical experience with asynchronous communication between microservices using tools like Kafka etc, event-driven architectures, and messaging patterns at scale.

●      Proven capability in designing inter-service communication protocols to optimize system performance, resilience, and latency under heavy loads.

●      Startup exposure—comfortable with ambiguity, learning quickly, pivoting often

●      Excellent communicator, collaborator, and mentor

What we offer:

●      An exceptional team: Our hiring bar is high and your colleagues are talented, motivated self-starters.

●      A learning environment: We are a learning organization and as a team we will help you grow and encourage you to learn and upgrade your skills.

●      Outstanding compensation: top talent deserves top pay and our salary, equity and benefits reflect this.

●      Opportunities to grow: Encourages you to attend technical conferences and take company funded educational courses to advance your skills.

●      An opportunity to be a key member of a well-capitalized leading brand in online real estate investing platform.

About the Role

We're looking for a creative and detail-oriented UI/UX Designer with 1-2 years of experience in designing modern, user-friendly websites and responsive mobile experiences. You'll collaborate with product managers, developers, and senior designers to create intuitive digital experiences that delight users and drive business goals.

Key Responsibilities

• Design responsive website interfaces for desktop, tablet, and mobile devices.
• Create wireframes, user flows, mockups, and high-fidelity UI designs using Figma.
• Translate business requirements into clean, intuitive, and visually appealing user experiences.
• Design landing pages, eCommerce pages (PLP, PDP, Cart, Checkout), dashboards, and marketing pages.
• Maintain consistency with design systems, style guides, and component libraries.
• Work closely with developers to ensure pixel-perfect implementation.
• Conduct competitor research and UX audits to identify design improvements.
• Iterate on designs based on stakeholder and user feedback.
• Stay up to date with the latest UI/UX trends, accessibility standards, and responsive design best practices.

Required Skills

• 1-2 years of experience in UI/UX or Website Design.
• Strong portfolio showcasing responsive web and mobile design projects.
• Proficiency in Figma (Auto Layout, Components, Variants, Prototyping).
• Good understanding of responsive design principles and grid systems.
• Knowledge of UX fundamentals, information architecture, and interaction design.
• Experience designing for both desktop and mobile platforms.
• Understanding of typography, color theory, spacing, and visual hierarchy.
• Basic understanding of HTML/CSS and developer handoff processes is a plus.
• Strong communication and collaboration skills.
• Ability to manage multiple projects and meet deadlines.

Preferred Qualifications

• Bachelor's degree or diploma in Design, Human-Computer Interaction, or a related field.
• Experience designing eCommerce websites is an advantage.
• Familiarity with Shopify or other CMS platforms is a plus.
• Experience working in Agile/Scrum teams is a bonus.

What We're Looking For

• A strong eye for detail and aesthetics.
• Passion for solving user problems through thoughtful design.
• Ability to take ownership while being open to feedback.
• A collaborative mindset and eagerness to learn.
• Someone who keeps up with modern design trends and best practices.

Bonus Skills

• Experience with AI design tools.
• Motion design or micro-interaction knowledge.
• Basic illustration or icon design skills.
• Familiarity with design systems and component libraries.

We are looking for a Python with the following experience and expertise:

• Proficiency in developing RESTful APIs using Flask, Django, or FastAPI.
• Hands-on experience with ORMs for database query mapping.
• Experience in designing, developing, and maintaining application integrations/connectors using REST APIs, SCIM, LDAP, webhooks, or similar integration technologies.
• Strong understanding of API authentication (OAuth 2.0, JWT, API Keys, Basic Auth) and integration best practices.
• Experience in writing unit test cases, ensuring code coverage, and API testing.
• Hands-on experience with Postman for API validation and testing.
• Minimum 2 years of experience working with any major cloud platform (AWS, Azure, or GCP).

Preferred:

• Experience building identity/IAM connectors or integrating enterprise applications with Identity Governance (IGA), IAM, HRMS, ERP, CRM, or SaaS platforms.

Principal Software Engineer

Company Summary :

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

Position Responsibilities :

About the Role 

We are seeking a highly motivated AI Solutions Engineer to join Deltek’s growing AI Center of Excellence team to design, develop, deploy, and optimize internal Artificial Intelligence and Machine Learning solutions that solve complex business challenges. The ideal candidate combines deep expertise in AI, machine learning, Generative AI, Large Language Models (LLMs), SLMs, software engineering, cloud computing, and MLOps/LLMOps to build scalable, production-grade AI applications. 

The AI Solutions Engineer will collaborate with AI data scientists, architects, and engineering teams to deliver innovative AI-driven solutions while ensuring security, scalability, governance, and operational excellence. This role reports to the Senior AI Solutions Architect. 

Key Responsibilities 

AI & Machine Learning Development 

• Design, build, train, evaluate, and deploy machine learning and deep learning models. 
• Develop Generative AI solutions using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, and Mistral. 
• Implement Retrieval-Augmented Generation (RAG), prompt engineering, fine-tuning, and AI agent frameworks. 
• Build NLP, recommendation systems, forecasting, predictive analytics, and intelligent automation solutions. 
• Optimize model performance, scalability, latency, and cost. 

Software Engineering & Solution Development 

• Develop production-grade AI applications using Python and modern software engineering practices. 
• Build APIs, microservices, and AI-powered enterprise applications. 
• Integrate AI services with enterprise systems, business applications, and data platforms. 
• Apply coding standards, automated testing, CI/CD, and version control best practices. 

MLOps & AI Operations 

• Design and implement MLOps pipelines for model development, deployment, monitoring, and lifecycle management. 
• Automate model training, validation, testing, and deployment processes. 
• Monitor model performance, data drift, hallucinations, and operational metrics. 
• Support continuous improvement and reliability of AI platforms. 

Cloud & Platform Engineering 

• Develop AI solutions on Azure, AWS, or Google Cloud platforms. 
• Leverage cloud-native AI services, containerization, Kubernetes, and serverless technologies. 
• Build scalable architectures supporting enterprise AI workloads and real-time inference. 

AI Governance & Security 

• Ensure compliance with Responsible AI, security, privacy, and regulatory requirements. 
• Implement model governance, explainability, bias mitigation, and risk management practices. 
• Maintain standards for secure design, deployment, and operation of AI solutions. 

Required Qualifications 

Education 

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field. 

Experience 

• 5+ years of software engineering or machine learning development experience. 
• 2+ years of hands-on experience developing and deploying Agentic AI, Generative AI or AI/ML solutions in production environments. 

Technical Skills 

Programming & Engineering 

• Strong expertise in Python. 
• Experience with Java, ReactJS, JavaScript, or similar programming languages. 
• Solid understanding of algorithms, data structures, APIs, and software design principles. 

Artificial Intelligence & Machine Learning 

• Machine Learning and Deep Learning concepts and frameworks. 
• Model training, evaluation, optimization, and deployment. 

Generative AI 

• Large Language Models (LLMs) & SLMs 
• Prompt Engineering 
• Retrieval-Augmented Generation (RAG) 
• AI Agents and Agentic Workflows 
• Fine-tuning and model customization 
• Vector embeddings and semantic search 

Frameworks & Tools 

• PyTorch, TensorFlow, Scikit-learn 
• LangChain, LlamaIndex, Semantic Kernel, MCP, A2A and Transformers 
• FastAPI, Flask 

Data & Analytics 

• SQL and NoSQL databases 
• Data pipelines, ETL, and data modeling 
• Experience with AWS, Azure and Google 

MLOps & DevOps 

• MLflow, Kubeflow, Azure ML, SageMaker 
• Docker and Kubernetes 
• Git, GitHub, Azure DevOps, Jenkins 
• CI/CD automation and model monitoring 

Cloud Platforms 

• AWS (preferred) 
• AWS Bedrock or Azure OpenAI Service 
• AWS SageMaker 
• Google Vertex AI 

Preferred Qualifications 

• Experience designing enterprise-scale AI platforms and products.  
• Knowledge of multi-agent architectures and autonomous AI systems.  
• Experience with vector databases such as Pinecone, Snowflake Cortex, Pgvector, Weaviate, Chroma, or Azure AI Search.  
• Understanding of AI governance, compliance, and Responsible AI frameworks.  
• Relevant certifications in Azure AI, AWS Machine Learning, or Google Cloud AI.

We're hiring a GTM Engineer to sit at the intersection of engineering and go-to-market. You'll build the internal tooling and automations that power our growth — outbound systems, lead-gen and enrichment pipelines, CRM integrations, AI agents — and run rapid growth/GTM experiments end to end (funnel/CRO tests, growth loops, activation and retention). Engineering is the baseline: you write real code (Python/JS, APIs) and ship tools yourself. What sets you apart is proven, hands-on growth experimentation with measurable outcomes. Must-haves: genuine coding ability (ships tools/automations in real code); demonstrated ownership of growth/GTM experiments with results; 2–4 yrs experience. Nice to have: early-stage B2B SaaS background; AI agent / LLM tooling experience.

Senior Agentic Engineer — Ai1 Platform (Operations)

Team: Operations · Type: Full-time · Location: Fully remote (global, async-first)

Who we are

MyZone AI builds and runs Ai1 — a managed, multi-agent AI platform that gives each client their own isolated, always-on team of AI agents working across the channels and tools they already use. We're a small, AI-first, high-trust team that ships like a much bigger one. We work fully remote and async — what you ship and how clearly you write matter more than your hours.

The role

You'll join the Operations team. 

• Agentic engineering — complex agent skills and workflows, multi-agent orchestration, custom integrations, and the prompting and guardrails that make autonomous agents reliable.

What you'll do

Build agents that do real work

• Design complex, reusable skills and multi-step recipes that automate entire business processes — production automations, not demos.
• Architect multi-agent workflows: delegation, parallel execution, and agents that hand off and reassemble work.
• Build custom MCP connectors and API integrations for any tool that doesn't have one yet.
• Engineer robust prompts, human-in-the-loop controls, and built-in QA so automations are safe to run autonomously.
• Ship automations as self-contained installers that deploy across many client instances with zero rework.

Own application code end-to-end

• Own one or more services in our modular platform (Node/Express backends, React frontends) — schema, API, and UI.
• Ship features across CRM, operations, pipeline, reporting, onboarding, assessments, and chatbots.
• Contribute to our Next.js portal (Next.js 15, TypeScript, Prisma, PostgreSQL).
• Keep your components healthy: clean migrations, green CI, solid tests.

Set the bar

• Work clean: feature branches, real PRs, green CI, small changes, semantic versioning.
• Be security-conscious by default — credentials are treated like credit-card numbers; high-risk actions route through human review.
• Mentor, set patterns, and raise the team's technical level.

Who we're looking for

Must-haves

• 5+ years of professional software engineering with strong full-stack depth: Node.js / TypeScript and modern React.
• Hands-on experience building AI agents in production — tool/function calling, orchestration, memory, and evaluation. You've shipped something that uses an LLM to reliably do real work.
• Fluency with the Anthropic / Claude API (or equivalent) and real depth in prompt/context engineering.
• Strong with PostgreSQL and pragmatic API design.
• Able to own a service end-to-end and ship independently in a low-oversight, async environment.
• Excellent written communication and sound judgment around security and autonomous actions.

Bonus

• Built MCP connectors, agent frameworks, or similar orchestration layers.
• Next.js 15, Prisma, Vercel, monorepos (pnpm / Turborepo).
• Light DevOps: Linux VPS, PM2, nginx, CI.
• Used coding agents (Claude Code–style tools) to build real things.
• Integrations: Slack/Teams apps, Twilio, Google Workspace, GitHub.

How we work

Fully remote, global, async-first — no required location. Small, high-trust, and low-bureaucracy, so you'll own real work and thrive without hand-holding. Everyone here builds automations, versions their work, and maintains what they ship.

MyZone AI is an equal-opportunity employer. We hire the best person for the work, wherever they are.

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

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/XwVzwSu83B9wcaf3A

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.