50+ Python Jobs in India

About AGI Ready

We're an AI-native development studio. We don't build "websites" — we build agents, automations, and custom products for clients who need real software shipped fast. Our stack is modern (Next.js, TypeScript, Claude Code), our pace is high, and our philosophy is simple: 60% with AI beats 0% without.

We're a small team scaling deliberately. This is an early hire, which means real ownership, real impact, and a front-row seat to building the agency from the inside.

The Role

You'll be a core builder. That means owning features end-to-end — from understanding what the client needs, to architecting it, to shipping production code, to fixing it when it breaks. You won't be handed perfect tickets. You'll be handed problems, and you'll be trusted to solve them.

You'll work primarily with AI coding tools (Claude Code, Codex) as your daily drivers. We're looking for someone who has moved past "AI writes my code for me" and into vibe engineering — using AI as a thought partner and force multiplier while still owning architecture, judgment, and quality.

What You'll Do

• Build and ship full-stack features using Next.js, TypeScript, and Node.js
• Architect and integrate APIs (third-party services, AI APIs, webhooks, async workflows)
• Use Claude Code and Codex to move fast without sacrificing quality
• Debug, deploy, and own production — not just write code and walk away
• Break complex problems into smaller, manageable pieces and ship iteratively
• Work directly with the founder and a tight team on multiple client products

What We're Looking For

Must-haves

• 1+ year of hands-on experience at a real product startup (shipping, not just learning)
• Strong with Next.js, TypeScript, and Node.js
• Comfortable using Claude Code and Codex as primary development tools
• Real vibe engineering experience — you direct AI, you don't just copy-paste from it
• Solid grasp of API integrations, webhooks, and async processing
• Can debug AI-generated codebases and take them to production

Preferred

• 3–5 years of product/startup experience
• Experience with managed services (Supabase, Clerk, etc.) over building everything from scratch
• Exposure to building agents or AI workflows (MCP, OpenAI APIs, agentic frameworks)

Who Thrives Here

We hire for trajectory, not credentials. The people who do well at AGI Ready tend to be:

• Frugal — you hack solutions together with what's available instead of waiting for perfect conditions
• Transformation-driven — show us your last two years, not your degree. We care where you've come from and how fast you climb
• Self-driven builders — you've taught yourself skills nobody handed you, and you ship things because you can't help it
• Assembly-minded — your first instinct is "who's already solved this?" not "let me build it from scratch"
• In it for the long run — we're looking for people to grow with, not churn through

How to Apply

Send us:

1. Your GitHub or portfolio
2. One thing you built that nobody asked you to build
3. A short note on a hard technical problem you solved — and how you used AI to solve it

Role & Responsibilities

Responsibilities

• Contribute to the development and optimization of enterprise-wide search systems and models.

• Design and implement algorithms to improve indexing, query relevance, and search accuracy.

• Support taxonomy, ontology, and metadata model creation for better search outcomes.

• Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.

• Conduct analysis of user behavior and system metrics to refine search performance.

• Work with engineers, product managers, and designers to deliver integrated search solutions.

• Develop production-grade ML systems for ranking, personalization, and recommendations.

• Participate in proof-of-concept initiatives with internal and external partners.

• Follow best practices in software engineering including CI/CD, testing, and monitoring.

• Keep abreast of emerging developments in AI/ML to apply them in practical solutions.

Ideal Candidate

Strong Data Scientist / AI Engineer / Machine Learning Engineer profiles.

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

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

Mandatory (Age) - Candidate's Age should be below 30 Years

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies.

Kindly provide the following details while sending your CV: (Mandatory details)

1) Date of Birth

2) Current Location-

3) Current CTC-

4) Expected CTC-

5) Notice Period-

6) Ready to relocate to Pune?

Regards,

The Supreme Consultancy

Website- https://lnkd.in/eawfxfxU

We are looking for:

A highly motivated AI Engineer to design, develop, and deploy AI/ML-based solutions. The ideal candidate should have strong problem-solving skills, hands-on experience with machine learning frameworks, and the ability to work on scalable AI applications.

Key Responsibilities:

• Develop, test, and deploy AI/ML models and applications.

• Work on NLP, Generative AI, LLMs, and predictive analytics solutions.

• Collect, clean, and process structured and unstructured data.

• Optimize model performance and ensure scalability.

• Collaborate with product, engineering, and business teams to deliver AI-driven solutions.

• Integrate AI models into production systems and APIs.

• Stay updated with the latest advancements in AI and machine learning technologies.

Required Skills:

• Strong knowledge of Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

• Understanding of Machine Learning, Deep Learning, NLP, and Generative AI concepts.

• Experience working with APIs, databases, and cloud platforms.

• Familiarity with LLMs, prompt engineering, and vector databases is preferred.

• Good understanding of data structures and algorithms.

• Strong analytical and problem-solving abilities.

Senior Python Developer (AI Systems & Scalable Backend)

Work Mode: Work from Office (No Remote Option)

We are looking for a Senior Python Developer to build and scale a production-grade AI-powered platform focused on image understanding, scene reconstruction, and automated media generation. This is a backend-heavy role requiring strong expertise in system design, asynchronous processing, and scalable API development. You will work closely with AI/ML, frontend, and DevOps teams to deliver high-performance systems that power object detection, segmentation, and 3D reconstruction pipelines.

Key Responsibilities:-

• Design and develop scalable backend services and APIs using FastAPI
• Build modular, maintainable systems with clear service contracts and abstractions
• Implement asynchronous processing pipelines for compute-heavy AI workloads
• Design and manage job queues (Celery, RQ, or similar) and integrate Redis
• Handle long-running and GPU-based tasks
• Work with PostgreSQL and integrate object storage (S3 or equivalent)
• Integrate and productionize ML models
• Optimize inference pipelines for latency, batching, and throughput
• Ensure system reliability with retries, fallbacks, and monitoring
• Collaborate with Data Science, Frontend, and DevOps teams

Required Skills:-

• 5+ years of Python development experience
• Hands-on experience with FastAPI and REST APIs
• Strong understanding of async programming and scalable systems
• Experience with Redis and queue systems (Celery, RQ, Kafka)
• Strong PostgreSQL experience
• Experience with Docker (mandatory); Kubernetes is a plus
• Familiarity with AWS, GCP, or Azure

Good to Have:-

• Exposure to AI/ML pipelines (YOLO, DETR, SAM, etc.)
• Experience deploying ML models in production
• Understanding of GPU workloads and optimization
• Background in image/video processing or real-time systems

What We’re Looking For:-

• Strong problem-solving and system design mindset
• Ability to handle real-world scale and unstructured data
• Experience in AI-integrated backend systems

We are seeking a Full-stack Developer to help build the next generation of StepOut's web and mobile platforms. In this role, you will design, develop, and optimize applications that deliver performance insights to athletes and coaches worldwide. You'll work in a fast-paced, collaborative environment where ownership, agility, and creativity are keys.

Responsibilities:

• Build and maintain scalable frontend applications using React (JS and native preferred).
• Develop backend services and APIs using Python (Django/Flask preferred).
• Design and manage databases (MongoDB + MySQL).
• Own features end-to-end from planning to deployment.
• Write clean, modular, and production-grade code.
• Debug issues deeply and implement long-term fixes (not patches).
• Collaborate with cross-functional teams (design, product, analytics).
• Contribute to system design, scalability, and performance improvements as a team player.

Requirements:

• Strong experience with React (React JS + React Native preferred).
• Strong experience with Python (Django/Flask preferred).
• Working knowledge of MongoDB and MySQL.
• Ability to build and consume REST APIs.
• Strong problem-solving and debugging ability.
• Genuine interest in football/sports (critical for culture fit).

Bonus Skills (Good to Have):

• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Experience with Docker and containerization.
• Prior exposure to sports-tech, analytics, or performance platforms.

Full Stack Engineer – Spacetil

About Spacetil

Spacetil is a modern financial operations and accounting automation platform that helps businesses streamline bookkeeping, banking integrations, transaction processing, reconciliations, and financial reporting. We are building scalable products that simplify complex financial workflows for customers across multiple geographies.

Role Overview

We are looking for a passionate Full Stack Engineer (1–3 years experience) to join our product engineering team. You will work across the entire technology stack to design, build, and maintain scalable web applications and backend services. This role offers the opportunity to contribute directly to product development, collaborate with cross-functional teams, and solve real-world business challenges.

Responsibilities

• Develop and maintain scalable web applications using modern frontend and backend technologies.
• Design and implement RESTful APIs and backend services.
• Build responsive and intuitive user interfaces using React.js and Tailwind CSS.
• Develop robust server-side applications using Java and Python.
• Write efficient SQL queries and optimize database performance.
• Collaborate with product managers, designers, and fellow engineers to deliver high-quality features.
• Participate in code reviews and contribute to engineering best practices.
• Troubleshoot, debug, and resolve production issues.
• Continuously improve application performance, security, and reliability.

Required Skills

• 1–3 years of experience in full-stack software development.
• Strong proficiency in Java and/or Python.
• Experience with React.js and modern frontend development.
• Good understanding of SQL and relational databases.
• Experience with Tailwind CSS for responsive UI development.
• Understanding of REST APIs, authentication, and web application architecture.
• Familiarity with Git and collaborative development workflows.
• Strong problem-solving and analytical skills.

Preferred Qualifications

• Experience with Spring Boot, PostgreSQL, or similar frameworks/databases.
• Exposure to cloud platforms (AWS, Azure).
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience working with financial, accounting, or fintech products is a plus.

What We Offer

• Opportunity to work on a fast-growing fintech platform.
• Flexible remote-first work environment.
• Ownership of impactful projects and features.
• Collaborative and learning-focused engineering culture.
• Competitive compensation and career growth opportunities.

Location: Remote

Experience: 1–3 Years

Employment Type: Full-Time / Contractual

Skills: Java, Python, SQL, React.js, Tailwind CSS

Join Spacetil and help build the next generation of financial automation solutions.

Hiring: GCP Data Engineer (FTE)

📍 Location: Bangalore | Chennai | Pune | Gurgaon | Kolkata

💼 Employment Type: Full-Time

Notice Period - Immediate Joiner ( Serving Notice Period )

Work Mode - Hybrid

We are looking for experienced GCP Data Engineers with strong expertise in building scalable cloud data solutions.

Required Skills:

✔ GCP Data Engineering Experience

✔ BigQuery

✔ SQL & Python

✔ PySpark / Apache Spark

✔ Apache Beam / Dataflow

✔ ETL / ELT Pipeline Development

✔ Airflow / Cloud Composer

Responsibilities:

• Design and develop scalable ETL/ELT pipelines on GCP
• Build and optimize BigQuery solutions
• Process large-scale structured/unstructured data using Spark
• Develop automated workflows and cloud-native data pipelines
• Work with GCP services like Dataflow, Dataproc, Cloud Storage, etc.
• 
  

Good to Have:

• Google Cloud Certifications (Professional Data Engineer / Solution Architect)
• Experience with BigTable, Cloud SQL, Spanner, NoSQL databases

🎓 Qualification: Bachelor’s / Master’s in CS, Engineering, or related field

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

  We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

  We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

  We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

  We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

Experience Level 

This role is ideal for engineer with 2+ years of full-stack software development experience, with a strong developer mindset and hands-on experience building and maintaining production systems. 

An experienced individual contributor who thrives in ownership-driven environments, can operate effectively with minimal oversight, and is comfortable working in the absence of a traditional Product Manager while demonstrating a strong product mindset. 

What You’ll Do as a Software Craftsperson 

Design, develop, and maintain custom Frappe apps within the frappe-bench ecosystem. 

• Write server scripts, client scripts, and custom DocTypes to extend ERPNext functionality. 
• Implement hooks, custom controllers, and REST APIs using the Frappe framework. 
• Work with DocType permissions, roles, and user-level access controls. 
• Debug and resolve issues in both local and production environments. 
• Collaborate with cross-functional teams during UAT and production deployments. 
• Maintain clean, version-controlled code using Git and follow code review practices. 
• Participate in requirement gathering sessions and translate business needs into technical solutions. 
• Set up and monitor systems to ensure system reliability and observability. 
• Make thoughtful technical decisions that balance simplicity, scalability, and maintainability 
• Work in a highly autonomous environment, defining problems, interacting with customers when needed, and driving solutions independently 
• Contribute to improving engineering practices, developer experience, and system quality across the team. 

Requirements

What You’ll Bring 

• 1–2 years of experience with Frappe framework and ERPNext. 
• Proficiency in Python (server-side scripting, custom controllers, hooks). 
• Solid understanding of JavaScript for client-side scripting in Frappe forms. 
• Experience creating and configuring custom DocTypes, fields, and workflows. 
• Familiarity with MariaDB/MySQL — writing queries, understanding schema. 
• Hands-on experience with Git for version control and branch management. 
• Comfort working in Linux/Ubuntu CLI environments (bench commands, SSH, etc.). 

Good to Have 

• Experience with custom app development and publishing via frappe-bench. 
• Familiarity with REST API integrations with third-party systems. 
• Exposure to Frappe Cloud or self-hosted ERPNext deployments. 
• Basic understanding of DevOps practices — backups, server management, deployment pipelines. 

What We Value 

• Extreme ownership – you take responsibility for outcomes and drive work end-to-end 
• Ability to execute independently and define problems, not just solve assigned tasks 
• A strong product mindset – willingness to talk to customers, understand problems deeply, and define direction when needed 
• Deep care about developer experience and engineering quality 
• High standards, autonomy, and a bias toward action 

Benefits

Life at Incubyte  

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion. 

Perks 

• Dedicated learning & development budget. 
• Sponsorship for conference talks. 
• Comprehensive medical & term insurance.  
• Employee-friendly leave policies. 
• Home Office fund 

Key Responsibilities

• Design, develop, test, and maintain PHP-based web applications and APIs.
• Build and enhance features for our SaaS platform with a focus on performance, scalability, and security.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Write clean, maintainable, and well-documented code following best practices.
• Optimize application performance and troubleshoot production issues.
• Integrate third-party services, APIs, and payment gateways as required.
• Participate in code reviews and contribute to improving development processes.
• Work with databases to design efficient schemas, write optimized queries, and ensure data integrity.
• Assist in deployment, monitoring, and ongoing maintenance of applications.

Hiring: Full-Stack Developer (1–3 yrs) — Performance Marketing Tech | Panchkula (Hybrid)

Hey, I run Chevron Media. We're a small, profitable performance marketing team in Panchkula running lead generation campaigns at scale across Facebook, Google, TikTok, and Newsbreak — mostly for the US market.

We're looking for our first tech hire. Whoever takes this role gets to build the foundation. Not maintain someone else's code. Not fix legacy bugs. Build.

Why this is a rare role for someone 1–3 years in :-

Most developers at your stage spend a year doing tickets on a backlog before anyone trusts them with real work. Here, you walk in on day one and start building things the entire company will use the next morning.

You'll work directly with my co-founder and me. No managers in between. No politics. Your code goes live, your decisions matter, and you'll see the business impact within a week — not a quarter.

You'll also learn an industry most developers don't know exists. Performance marketing is one of the few fields where good tech people make outsized money — because every dashboard, automation, and launcher you build multiplies revenue directly. The developers who understand this space well are paid in a different league than typical web devs. You'll get that knowledge here, working hands-on.

What you'll actually build

In order of priority:

• A central dashboard that pulls live data from the Facebook Ads API and RedTrack API. Spend, revenue, profit, CPC, CTR, CPM, ROAS — by campaign, ad, and ad account, with time filters. This is your first project, and it ships in your first 4–6 weeks.
• A bulk launcher built on the Meta Marketing API. Our buyers sometimes launch 20 campaigns with 50 ad sets each. Today it's manual and brutal. You'll make it not.
• Automations and custom rules engines — auto-pause rules, daily reports, creative pipelines, anything we can take off humans. This work never ends. There's always something worth automating.
• Be the tech voice in the room. When we ask, "Can we do X with API Y?" you tell us what's possible. You're not just executing — you're shaping what gets built.

What we're looking for

• 1–3 years of full-stack development experience (personal projects count if they're real)
• Solid in JavaScript/TypeScript, Python, or both
• Comfortable working with REST APIs — bonus if you've ever touched an ad platform API
• Have built and deployed at least one project end-to-end that real people could use
• Can read API documentation and figure things out without hand-holding

Nice to have

• Next.js, React, or Supabase experience
• Worked with Facebook Marketing API or Google Ads API
• Any exposure to performance marketing or affiliate marketing
• Built a dashboard before — even a personal project counts

Location

Hybrid in Panchkula. Some days in office, some days remote — we'll figure out the rhythm together.

Salary

₹60,000 – ₹90,000/month, based on what you've actually built.

How to apply

Send a message with:

• A link to one thing you've built. GitHub, live URL, anything. I care more about what you've shipped than what's on your CV.
• One line on why this role interests you.
• Include the word "launcher" in your message so I know you actually read this.

If you don't have a link to something you've built yet, this role isn't right for you today. Spend a weekend building a small thing, then come back. Said with respect, this role is for people who already build, not people who plan to start.

Looking forward to meeting you.

— Acw, Founder, Chevron Media

About the Role

Viamagus is a fully AI-driven engineering organization.

We're hiring a Technical Architect who has built real systems, deployed them to production, and meaningfully integrated AI into their engineering practice. You'll lead architecture across all client engagements.

Must-Have: Engineering Foundation

• Bachelor's in CS/Engineering or related field (Master's preferred)
• 8+ years of software development, 3+ years in an architect/lead role
• Built systems from scratch and taken them to production - owned the full lifecycle, not just slices
• Multiple integration experiences - third-party APIs, enterprise systems (SAP, Salesforce, ERP), messaging/event buses, legacy modernization
• Built frameworks for scalability - reusable platforms, SDKs, shared libraries, and internal developer tooling adopted across teams
• Technology-agnostic strength - strong across at least one modern backend stack, one frontend framework, and one cloud platform; able to pick the right tool for the job rather than defaulting to favourite
• AWS or Azure cloud architecture - VPC design, IAM, container orchestration, cost optimization
• DevOps fluency: Docker, Jenkins/GitHub Actions, IaC (Terraform/CDK)
• Performance tuning, distributed tracing, structured logging, APM tools (Datadog, New Relic, or equivalent)
• AppSec collaboration - OWASP Top 10, VAPT remediation, secrets management, compliance (ISO/SOC 2/HIPAA exposure a plus)

Must-Have: AI-Era Awareness

You will be expected to architect systems that use AI effectively and lead engineers who do the same. Working knowledge of several of these is required:

• AI-assisted development - daily driver of Claude Code, Cursor, Copilot, or equivalent; can articulate where they help, where they fail, and how to get better outcomes from them
• LLM integration patterns - understanding of when to use OpenAI, Anthropic, Gemini, or open-source models; familiarity with API usage, streaming, function calling, structured outputs
• RAG basics — vector DBs (pgvector, Pinecone, Qdrant), embeddings, chunking, retrieval tradeoffs — enough to review and guide RAG implementations
• Agentic systems awareness — conceptual understanding of tool use, multi-step agents, and frameworks like LangGraph or CrewAI
• MCP (Model Context Protocol) — awareness of what it is and where it fits
• Prompt engineering fundamentals — versioning prompts, structured outputs, guardrails, handling hallucinations
• AI evaluation and cost awareness — how to measure quality, latency, and cost of LLM-powered features
• Curiosity and experimentation mindset — has tried things beyond ChatGPT in a browser tab

Responsibilities

Architecture & Delivery

• Design scalable, secure architectures for client engagements
• Lead technical due diligence on proposals - feasibility, effort estimation, risk flagging
• Drive production readiness: incident management, observability, release processes
• Review and approve high-impact design decisions across projects

Team & Stakeholders

• Mentor 15–20 engineers across backend, mobile, and cloud teams
• Conduct architecture reviews, code reviews, and technical retrospectives
• Engage directly with client CTOs/architects on solution design and technical escalations
• Translate business objectives into architectural decisions and vice versa

Quality, Risk, Compliance

• Enforce security-first design - threat modelling, data classification, AI-specific risks (prompt injection, PII leakage, model supply chain)
• Ensure compliance readiness for ISO 27001, SOC 2, HIPAA, where applicable
• Identify and mitigate delivery risks early; escalate with proposed mitigations

Nice to Have

• Contributions to open-source projects or AI tooling
• Experience with real-time sync (CRDTs, Realm, Ditto) or offline-first architectures
• Published technical content - blogs, talks, GitHub
• Google/AWS/Azure certifications (bonus, not substitute)

Job Title: Digital Automation Engineer 

Experience: 3+ Years

Location: Remote

Role Summary

We are looking for an Automation Engineer to design and build solutions that eliminate manual tasks within production support operations. This role is primarily focused on automation engineering, with secondary exposure to production support. The ideal candidate will also have hands-on experience with AWS, CI/CD pipelines, and Slack integrations to support modern automation and DevOps-driven workflows.

Key Responsibilities

• Build and deploy automation solutions using Python/Java/Node.js or RPA tools
• Automate monitoring, alerts, reporting, and reconciliation processes
• Integrate systems via REST APIs, database connections, and file-based workflows
• Identify and optimize manual support processes through automation
• Support L2/L3 production activities, including incident triage and RCA
• Work with monitoring tools such as Splunk and Grafana for log analytics and dashboarding
• Support releases, deployments, and environment-related activities
• Build and maintain CI/CD pipelines using tools like Git, Jenkins, GitHub Actions, or similar
• Develop AWS-based automation (Lambda, CloudWatch, S3, API Gateway, IAM workflows, etc.)
• Create automation workflows integrated with Slack for notifications, approvals, and operational triggers
• Collaborate with DevOps and Cloud teams to ensure scalable, secure automation design

Required Skills

• 3–5 years of experience in automation, scripting, or software engineering
• Strong coding skills in Python, Java, or JavaScript
• Hands-on experience with REST APIs, JSON, SQL
• Exposure to monitoring platforms like Splunk and Grafana
• Basic understanding of production support and ITIL processes
• Experience working with ServiceNow or other ITSM platforms (preferred)
• Practical experience working with AWS cloud services
• Experience building CI/CD pipelines using modern DevOps tools
• Experience implementing Slack integrations using bots, webhooks, or API-based workflows

Preferred Qualifications

• Experience with event-driven automation
• Exposure to containerization (Docker/Kubernetes)
• Knowledge of security best practices in automation and cloud workflows

Job Summary

We are looking for a skilled Data Engineer with 4+ years of experience in Python, SQL, and Power BI. The candidate will be responsible for building and maintaining data pipelines, transforming and analyzing data, and developing dashboards to support business decision-making.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Extract, transform, and load data from multiple sources using Python and SQL.
• Develop and optimize complex SQL queries, stored procedures, and database objects.
• Create interactive dashboards and reports using Power BI.
• Ensure data quality, integrity, and consistency across systems.
• Collaborate with business stakeholders to gather reporting and analytics requirements.
• Monitor and troubleshoot data pipeline and reporting issues.
• Perform data validation, testing, and performance tuning.
• Document data processes, workflows, and technical specifications.

Required Skills

• 4+ years of experience in Data Engineering or related roles.
• Strong proficiency in Python (Pandas, NumPy, ETL scripting).
• Strong hands-on experience with SQL (query optimization, joins, stored procedures).
• Experience with Power BI (DAX, Power Query, dashboard development).
• Knowledge of ETL/ELT processes and data warehousing concepts.
• Experience working with relational databases such as SQL Server, PostgreSQL, MySQL, or Oracle.
• Understanding of data modeling and database design principles.
• Experience with version control tools such as Git.

Preferred Skills

• Experience with cloud platforms such as Azure, AWS, or GCP.
• Knowledge of data integration tools like Azure Data Factory, SSIS, Airflow, or Informatica.
• Familiarity with Databricks, Spark, or big data technologies.
• Understanding of CI/CD and DevOps practices.
• Experience with REST APIs and data integration.

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 12 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 12 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer

We are looking for an experienced Quality Automation Lead to drive end-to-end test automation strategy, framework development, and quality engineering initiatives. The ideal candidate should have strong expertise in Python, Robot Framework, UI/API automation, CI/CD integration, and AI-enabled testing practices.

Key Responsibilities

• Design and maintain scalable automation frameworks using Python and Robot Framework.
• Develop and execute UI and API automation test suites.
• Integrate automation into CI/CD pipelines using Jenkins.
• Implement AI-driven testing approaches for intelligent test generation and validation.
• Collaborate with Engineering, Product, and DevOps teams to ensure high-quality releases.
• Mentor QA engineers and establish automation best practices.

Required Skills

• 7–10 years of automation testing experience.
• Strong expertise in Python and Robot Framework.
• Hands-on experience with Selenium and/or Playwright.
• Experience in API automation (REST APIs, OpenAPI/Swagger).
• Good knowledge of Jenkins, CI/CD pipelines, AWS, and Docker.
• Strong analytical, problem-solving, and leadership skills.

Good to Have

• Experience with AI-enabled automation and intelligent testing.
• Exposure to IGA/IAM domain.
• Knowledge of Postman, Allure Reports, observability tools, and quality dashboards.

Chief Technology & Product Officer (CTPO)

Company: Miror Therapeutics Private Limited (miror.in)

Location: Bangalore

Type: Full-time

About Miror

Miror is building India's largest 360° care network for women - supporting them through menstruation, perimenopause, menopause, and beyond. We bring together a thriving community of 75,000+ women, 100+ doctors across gynaecology, oncology, urology and sexual health, nutrition and mental health, India's first dedicated HRT Centre of Excellence, a personalized care app, expertly formulated supplements, and a women's wellness rewards program.

We're bootstrapped and revenue-generating, with real users and real impact. We're now looking for a technology and product leader to deepen our digital platform and scale the experience to millions more women.

The role

As Chief Technology & Product Officer, you'll own both the engineering and product functions at Miror. This is a combined role by design: we need one leader who holds the technical architecture and the product vision together, keeps them tightly aligned, and ships. You'll set technical direction, own the product roadmap across our app and digital platform, and build the team that delivers - all while honoring the trust women place in us with sensitive, deeply personal health journeys.

Because we're bootstrapped, this is a role for someone who values capital efficiency, durable margins, and building things that last.

What you'll own

Product

• Define and own the product vision and roadmap in partnership with the CEO
• Translate deep understanding of women's health - menstruation through menopause - into product that earns daily trust
• Own the full product lifecycle across the app, community, teleconsultation/appointments, HRT programs, commerce (shop and supplements), and rewards
• Establish how the team prioritizes, measures, and learns from users

Technology

• Own the technical architecture of the Miror app and digital platform
• Lead engineering execution: quality, velocity, reliability, and security
• Make pragmatic build-vs-buy and platform decisions that keep us lean and fast
• Own data architecture with privacy and protection of sensitive health data as a first principle

Leadership

• Build, lead, and mentor the combined product and engineering team
• Set the engineering and product culture for the company
• Be a credible internal and external voice for the platform

Must-haves

• Demonstrated experience in femtech or digital health - you understand women's health, the sensitivity of the data involved, and what it takes to earn and keep user trust in this space
• Track record of owning both product and engineering at a senior level (VP+ or prior CTO/CPO/CTPO)
• Strong software and app development background; comfortable being hands-on architecturally
• Experience handling sensitive health data and the regulatory/privacy landscape around it (India's DPDP Act, plus relevant global standards like HIPAA/GDPR; awareness of telemedicine and digital-health regulatory considerations)
• Ability to lead a lean team and make capital-efficient decisions in a bootstrapped environment
• Proven ability to hire, grow, and retain product and engineering talent

Nice-to-haves

• Experience scaling a consumer health or community-driven product post-PMF without external funding
• Experience with teleconsultation, e-commerce/D2C, or marketplace-style products
• Comfort with our stack: [e.g. Python backend, Flutter app] - or strong reasons to evolve it

Why join

• Real revenue, real users, and a community of 75,000+ women who already trust us
• A genuine seat at the table: you'll shape the company, not just execute someone else's plan
• A mission that matters: transforming how India cares for women's midlife and lifelong health

Connect with me on my LinkedIn

About PGAGI:

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

About the Role

We are at the forefront of building advanced AI systems — from fully autonomous agents that power intelligent customer interactions, to data analysis tools that deliver actionable business insights. This internship combines hands-on AI/ML engineering with robust backend development, giving you a complete picture of how production-grade AI systems are built, deployed, and scaled.

You will work across the full stack: designing and fine-tuning AI models on one end, and architecting the APIs, databases, and server-side infrastructure that bring those models to life on the other.

Key Responsibilities

AI / ML ENGINEERING

Design, experiment with, and fine-tune large language models (LLMs) and NLP pipelines for real-world use cases.

Develop and iterate on prompt engineering strategies to optimise model performance and output quality.

Integrate and deploy models using Hugging Face and OpenAI platforms; evaluate open-source alternatives.

Build deep learning workflows including training, evaluation, and continuous improvement loops.

Collaborate on data collection, preprocessing, and feature engineering for ML pipelines.

BACKEND ENGINEERING

Architect and develop scalable RESTful APIs and GraphQL endpoints using Node.js / FastAPI / Express.

Build and maintain full-stack features using Next.js (App Router), integrating server-side rendering, API routes, and React components.

Design and manage relational and NoSQL databases (PostgreSQL, MongoDB, or equivalent); write efficient queries and manage schema migrations.

Implement authentication, authorisation, and security best practices (JWT, OAuth 2.0, role-based access control).

Containerise services with Docker and contribute to CI/CD pipelines for reliable, automated deployments.

Integrate AI/ML model inference endpoints into backend services, handling async processing, queuing, and latency optimisation.

Write clean, well-tested, and well-documented backend code; participate actively in code reviews.

VERSION CONTROL & COLLABORATION

Use Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.

Contribute to technical documentation, architecture decision records, and internal knowledge bases.

Duration & Compensation

Duration: 6 Months

Stipend: Base ₹8,000/month — up to ₹15,000/month based on performance

Post-Internship: Full-time opportunity as AI/ML Engineer (₹6–8 LPA) based on performance

Perks & Benefits

Hands-on experience shipping real AI products used by actual customers.

Mentorship from senior engineers and industry experts in AI/ML and backend development.

Exposure to the full development lifecycle — from model training to production deployment.

Collaborative, innovative, and flexible work environment.

Accelerated growth path with a clear route to a full-time engineering role.

How to Apply

Interested candidates are invited to submit their resume and complete the assignment using

the link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

Shortlisted candidates will be contacted for an interview.

Selection Process

Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.

Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.

Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.

Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.

Onboarding: Successful candidates will join our team, with exciting projects ahead

Requirements

MUST-HAVE SKILLS

Strong proficiency in Python for AI/ML development and scripting.

Solid understanding of JavaScript / TypeScript; experience with Node.js and Next.js (or a strong willingness to learn quickly).

Familiarity with REST API design principles and at least one backend framework (Express, FastAPI, Django, etc.).

Working knowledge of at least one database system (PostgreSQL, MySQL, MongoDB).

Experience with Git and GitHub version control workflows.

Exposure to AI/ML platforms such as Hugging Face and OpenAI.

Understanding of prompt engineering concepts and the model fine-tuning process.

GOOD TO HAVE

Hands-on experience with Next.js App Router, React Server Components, or similar modern full-stack frameworks.

Familiarity with Docker, basic DevOps concepts, or cloud platforms (AWS, GCP, or Azure).

Experience with message queues (Redis, RabbitMQ) or background task processing.

Knowledge of LLM orchestration tools such as LangChain or LlamaIndex.

SOFT SKILLS & MINDSET

Strong problem-solving instincts and a genuine curiosity about AI technology.

Ability to own tasks end-to-end and communicate progress clearly.

Comfortable working in a fast-moving environment where requirements evolve.

A growth mindset — eager to learn, receive feedback, and level up continuously.

TECH YOU'LL WORK WITH

Python

Next.js

Node.js

FastAPI

LLMs / NLP

PostgreSQL

React

Docker

HuggingFace

OpenAI API

GitHub

REST / GraphQL

Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!

#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #Python

Warble Cloud is expanding its cognitive infrastructure team and is seeking a freelance Solution Engineer focused on Agentic AI and LLMs in Pune.

This role involves building and scaling multi-agent orchestration systems, particularly our Reflexion Engine

and Actor/Critic reasoning loops

.Engagement Details:- Format: Freelance / Part-time- Bandwidth: Strictly 2 hours daily- Location: Pune, Maharashtra (Local candidates only; no exceptions)

Requirements:- Experience: 2+ years in MLOps and LLM-driven development.- Technical Stack: Proven ability to build and deploy generative AI applications, work with RAG pipelines, and integrate LLMs with complex backend infrastructures.- Ecosystem: Familiarity with deploying models (like Gemma, Qwen, Llama) and agentic frameworks. Experience with Model Context Protocol / MCP servers is a significant advantage.

What You Will Do:- Collaborate directly with engineering leadership to refine and optimize LLM reasoning loops.- Contribute to the deployment of safe, token-efficient agentic workflows.- Ensure seamless integration of AI models into cloud-native, Kubernetes-driven environments.How to Apply:If your background aligns with the requirements and you meet the location

. #Hiring #Pune #PuneJobs #Freelance #MLOps #LLM #GenerativeAI #AgenticAI #WarbleCloud #PlatformEngineering

• Strong hands-on experience in Microsoft Azure Cloud.
• Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
• Basic understanding of Azure AI Foundry and AI-related Azure service setup.
• Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
• Strong knowledge of Terraform, especially:
• Terraform state
• plan / apply
• troubleshooting failures
• migration risks
• Terraform Enterprise concepts
• Strong Python coding capability, not just basic scripting.
• Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
• Good understanding of CI/CD pipelines.
• Ability to troubleshoot pipeline failures.
• Comfortable with YAML and JSON.
• Ability to troubleshoot Azure infrastructure/platform issues.
• Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
• Basic awareness of agentic AI / LLM concepts.
• Awareness of security and cost best practices.

Good to Have Skills

• Hands-on experience with Harness.
• Hands-on experience with Terraform Enterprise.
• Exposure to LangGraph / LangChain.
• Exposure to agentic AI workflows or skill creation.
• Exposure to Claude or enterprise LLM integrations.
• Knowledge of Azure ML Workspace, model registry, and managed endpoints.
• MLOps / LLMOps knowledge.
• FinOps / Azure cost optimization experience.
• Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.

Amura’s Vision 

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us.

Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.

Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture.

These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence. 

Role Overview 

We are looking for a highly skilled Senior DevOps Engineer (AI-Native Infrastructure & Platform Engineering) with deep expertise in AWS cloud infrastructure, automation, AI infrastructure operations, and modern DevOps/SRE practices.

This role goes beyond traditional DevOps and requires a seasoned specialist capable of building and operating AI-ready infrastructure platforms that support high-throughput APIs, LLM/AI workloads, GPU-based compute, data-intensive systems, real-time inference pipelines, and scalable ML platforms.

You will be responsible for architecting, automating, securing, and optimizing highly scalable and cost-efficient cloud environments that enable high-velocity engineering and AI teams. This is an ideal position for someone who combines technical ownership, an automation-first mindset, and a passion for developer productivity and platform reliability. 

Key Responsibilities 

Cloud Infrastructure & Platform Engineering (AWS) 

• Architect, deploy, and manage highly scalable and secure infrastructure on AWS. Design cloud platforms supporting AI/ML workloads, data pipelines, real-time APIs, and high-concurrency backend systems.
• Hands-on expertise with key AWS services including EC2, ECS/EKS, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, IAM, CloudWatch, and GPU-enabled instances.
• Build and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or AWS CDK.
• Design multi-AZ and multi-region architectures for high availability and disaster recovery (HA/DR).
• Build reusable platform templates and shared infrastructure modules. 

AI/ML Infrastructure & MLOps 

• Build and maintain infrastructure for LLM applications, AI inference workloads, model serving platforms, vector databases, and feature stores.
• Support GPU-based workloads and optimize compute/storage usage.
• Enable scalable deployment patterns for AI applications using Kubernetes/EKS. Collaborate with Data Science and ML Engineering teams on model deployment, training/tuning of models, CI/CD for ML systems, experiment environments, and reproducibility.
• Support orchestration and deployment of AI workflows and inference services while implementing observability and reliability for AI pipelines. 

CI/CD, Automation & Developer Productivity 

• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
• Automate deployments, environment provisioning, and release workflows.
• Build self-service developer platforms, preview environments, and reusable deployment workflows to improve developer productivity.
• Implement automated patching, scaling, backups, cleanup workflows, and drift detection. 

Containers, Kubernetes & Platform Reliability

• Manage Docker-based environments, containerized applications, and optimize workloads using Kubernetes (EKS) or ECS/Fargate.
• Manage autoscaling, cluster health, node pools, ingress, service mesh, and workload isolation.
• Optimize infrastructure for performance, resilience, and cost-efficiency.
• Implement progressive deployment strategies including blue/green, canary, and rolling deployments. 

Observability, Incident Response & SRE Practices

• Implement observability stacks using CloudWatch, Prometheus, Grafana, ELK, Datadog, OpenTelemetry, or New Relic.
• Build actionable dashboards and intelligent alerting systems while defining and tracking SLIs, SLOs, and SLAs.
• Lead incident response, root cause analysis, and blameless postmortems to reduce operational toil and improve MTTR.

FinOps, Cost Governance & Security

• Continuously monitor and optimize cloud costs (compute utilization, storage lifecycle, GPU usage, and data transfer) using AWS Cost Explorer, Budgets, Trusted Advisor, CloudHealth, or Kubecost.
• Implement AWS security best practices for IAM, VPCs, security groups, NACLs, encryption, and manage secrets using KMS, SSM Parameter Store, or Vault.
• Build secure CI/CD pipelines with automated security checks, least-privilege access, audit logging, and ensure compliance readiness for ISO 27001, SOC2, and GDPR.

Collaboration, Leadership & Platform Culture

• Work closely with engineering, AI/ML, QA, product, and operations teams to drive a DevOps, SRE, GitOps, and automation-first culture.
• Mentor junior DevOps and Platform Engineers while creating and maintaining detailed runbooks, architecture diagrams, and platform documentation.

Skills & Qualifications

Must-Have:

• 7+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure Engineering.
• Strong expertise in AWS cloud architecture, services, and deep understanding of Kubernetes (EKS), containers, and cloud-native systems.
• Strong Infrastructure-as-Code expertise using Terraform, CloudFormation, or CDK. Strong Linux administration, networking, DNS, routing, and load balancing knowledge. Strong scripting/programming experience in Python, Bash, or Go (preferred). Experience with CI/CD automation, GitOps workflows, and observability platforms supporting scalable production systems.

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Here are answers to some questions you may have

Where is your office?

Chennai (Velachery)

Work Model

Work from Office – because great stories are built in person!

Do you have an online presence?

https://amura.ai (we are @AmuraHealth on all social media)

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. 

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

Job Description

To be successful in this role, you should have experience with:

• AWS hands on with S3, EC2, Lambda, RDS, Glue, Athena, data pipelines, step function and knowledge of Analytical services.
• Experience of distributed computing architecture, Core Hadoop components (HDFS, Spark, Yarn, HIVE, Impala).
• Experience of Technical Design for ETL/Hadoop/AWS components.
• Knowledge of Data Warehousing.

Some other highly valued skills may include:

• Expertise in SQL, advanced SQL skills.
• Expertise in shell scripting and programming (Scala/Python).
• Knowledge of ETL technologies preferably Ab Initio.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. 

The location of the role is Pune.

Mandatory Skills:

• Strong hands-on experience in Python
• Experience in Generative AI / LLMs
• Good understanding of FinTech or Banking domain
• Experience with APIs and Microservices
• SQL/Database knowledge
• Cloud platform experience (AWS/Azure/GCP)
• Strong communication and problem-solving skills

Purpose of the role

To design, develop, and execute testing strategies to validate functionality, performance, and user experience, while collaborating with cross-functional teams to identify and resolve defects, and continuously improve testing processes and methodologies, to ensure software quality and reliability. 

Accountabilities

• Development and implementation of comprehensive test plans and strategies to validate software functionality and ensure compliance with established quality standards.
• Creation and execution automated test scripts, leveraging testing frameworks and tools to facilitate early detection of defects and quality issues. .
• Collaboration with cross-functional teams to analyse requirements, participate in design discussions, and contribute to the development of acceptance criteria, ensuring a thorough understanding of the software being tested.
• Root cause analysis for identified defects, working closely with developers to provide detailed information and support defect resolution.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as an IFC - ETL Automation Tester, where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.  

To be successful as an IFC - ETL Automation Tester, you should have experience with:

• Expertise in ETL too e.g. Informatica or AbInitio.
• Develop and execute ETL test cases, Test scripts and data validation scenarios.
• Validation on data extraction, transformation and loading along with data completeness.
• Test Automation experience in developing and implementing ETL test automation scripts using Python, SQL scripting, QuerySurge, Unix and Shell Scripts.
• Automate comparison, schema validation and regression testing.
• Integrate test automation with CICD pipeline (Jenkins, Gitlab, DevOps)
• Optimize and maintain automated test suite for scalability and performance.
• Understand requirements, user stories and able to relate them with design document.
• Work closely with business analyst, Dev team to define the test scope. 
• Maintain Test Plan, Test Data and Automation in version control.
• Document best practices, lesson learnt and continues improvement strategies. 
• Identify and log defects via JIRA & defect management. 
• Work with business analyst and developers to troubleshoot data issues and pipeline failures.
• Provide detailed report on test execution, coverage, and defect analysis.
• Understanding of agile development/test methodology and practice it in day-to-day work
• Unearth gaps between business requirement and User stories
• Ensure ETL process adhere to data privacy and compliance. Validate data masking encryption and access control. Audit and data Recon testing to tack the data modification. 

Some other highly valued skills may include:

• Detail understanding of Cloud technology viz AWS, Confluent Kafka
• Good if have hands on experience in BDD / TDD

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

Job Summary

The Technical Lead will be responsible for overseeing and leading projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and implementing data solutions while ensuring they meet the business requirements and align with best practices. (1.) Key Responsibilities

1. Lead and manage end-to-end data engineering projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.

2. Collaborate with stakeholders to gather and understand requirements for data pipelines and analytics solutions.

3. Design and develop etl processes, data models, and data integration solutions.

4. Provide technical guidance and mentorship to the team members.

5. Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.

6. Troubleshoot and optimize data pipelines and processes for performance and efficiency.

7. Stay updated on the latest trends and technologies in data engineering and contribute to continuous improvement efforts.

Skill Requirements

1. Proficiency in azure data factory (adf) and azure databricks for building and managing data pipelines.

2. Strong experience with sql and oracle pl/sql for data querying and manipulation.

3. Advanced programming skills in python for scripting and data processing tasks.

4. Knowledge of data modeling, data warehousing concepts, and database design principles.

5. Ability to work in a collaborative team environment and communicate effectively with stakeholders.

6. Strong analytical and problem-solving skills with attention to detail.

7. Experience in data visualization tools and techniques is a plus.

Certifications: Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.

Skill (Primary)

Data Fabric-Azure-Azure Data Factory (ADF)

Job description:

Role Overview

We are seeking a Senior SQL Developer & ETL Engineer with 5+ years of experience for a 100% remote opportunity.

Please note: This is not a standard Big Data / Infra-heavy Data Engineering role. We are specifically looking for a SQL Specialist. Your core strength must lie in relational database development, schema design, and writing high-performance database logic. Python will be your primary tool for moving and orchestrating data, but SQL and database architecture are the heart of this role.

Key Responsibilities

• Database Architecture & Schema Design: Design, implement, and maintain robust relational database schemas, ensuring optimal data modeling (OLTP and OLAP/Data Warehousing).
• Advanced Database Programmability: Write, debug, and optimize complex Stored Procedures, Functions, Triggers, and Views to handle core business logic at the database level.
• Performance Tuning & Indexing: Analyze query execution plans, identify bottlenecks, and implement advanced indexing strategies, partitioning, and query refactoring to ensure sub-second response times.
• Python ETL/ELT Pipelines: Develop, schedule, and maintain scalable data ingestion and transformation pipelines using Python to connect disparate data sources.
• Data Integrity & Governance: Establish constraints, data validation routines, and automated quality checks to guarantee absolute data accuracy.

Required Technical Skills

• Expert-Level SQL & DB Programmability (5+ Years): Mastery of writing complex queries (CTEs, Window Functions, Analytical queries) and server-side logic (Stored Procedures/Functions) in platforms like PostgreSQL, SQL Server, Oracle, or MySQL.
• Advanced Database Optimization: Deep understanding of how databases work under the hood—specifically indexing (B-Tree, Hash, Clustered/Non-Clustered), execution plans, statistics, and locking/concurrency mechanisms.
• Python for Data Ingestion (3+ Years): Proficient in writing clean, modular Python scripts for data manipulation, API integration, and ETL processing (using libraries like Pandas, SQLAlchemy, or custom database connectors).
• Data Modeling Methodologies: Practical experience designing Star/Snowflake schemas, Normalization (3NF), and handling Slowly Changing Dimensions (SCD).

Remote & Soft Skills

• Autonomous Execution: Proven ability to manage your own time, architecture tasks, and deliverables without micromanagement.
• Asynchronous Communication: Exceptional written and verbal English communication skills to collaborate seamlessly across time zones.
• Legacy Refactoring Mindset: You enjoy opening up a massive, poorly optimized 500-line stored procedure and refactoring it for 10x performance.

Nice-to-Haves

• Experience migrating legacy on-premise stored procedures to modern cloud data warehouses (Snowflake, BigQuery, Redshift).
• Familiarity with workflow orchestration tools like Apache Airflow or Prefect.
• Experience with dbt (data build tool).

Work Location: Remote

Company Overview:

Pripton Innovations is a dynamic technology company focused on developing cutting-edge AI-powered solutions for the AI services industry. We build and deploy sophisticated platforms that leverage large language models (LLMs) to automate complex processes, enhance decision-making, and improve customer experiences. Our solutions are currently utilised by several leading institutions, impacting millions of users globally.

Role Overview:

As a Fullstack Product Engineer at Pripton Innovations, you will be instrumental in designing, developing, and deploying innovative features for our core AI platform. You will collaborate closely with product managers, designers, and other engineers to translate product requirements into robust, scalable, and user-friendly solutions. Your work will directly impact the efficiency and effectiveness of our AI-driven tools, ultimately driving better outcomes for our clients and their customers.

Key Responsibilities:

- Develop and maintain high-quality, performant APIs using NestJS and FastAPI to support our AI-powered applications.

- Build and enhance interactive user interfaces with Next.js and Tailwind CSS, ensuring a seamless and engaging user experience.

- Implement real-time communication features using Socket.io to facilitate dynamic interactions within our platform.

- Design and optimise database schemas and ORM configurations to ensure efficient data storage and retrieval.

- Deploy and manage applications using Docker and container orchestration technologies to maintain high availability and scalability.

- Write clean, well-documented, and testable code, adhering to industry best practices.

- Collaborate with cross-functional teams to define, design, and ship new features.

- Troubleshoot and resolve production issues, ensuring minimal disruption to our users.

- Contribute to the continuous improvement of our development processes and tools.

Required Skillset:

- Demonstrated ability to design and implement scalable and maintainable full-stack applications.

- Proven experience with backend technologies such as NestJS, FastAPI, and Python.

- Expertise in frontend development using Next.js and Tailwind CSS.

- Proficiency in working with databases and ORM frameworks.

- Solid understanding of real-time communication protocols and experience with Socket.io.

- Experience with containerization technologies like Docker and Git version control.

- Strong problem-solving skills and the ability to work independently and as part of a team.

- Excellent communication and collaboration skills, with the ability to articulate technical concepts clearly.

- Bachelor's degree in Computer Science or a related field.

- Adaptability to a remote work environment and ability to manage time effectively.

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. 

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

To be successful as a Lead Data Engineer, you should have experience with:

• AWS cloud services such as S3, Glue, Athena, Lake Formation, CloudFormation etc.
• Python language on senior level for data engineering and automation purposes
• Snowflake, ETL frameworks, data transformation and data quality tools
• Some other highly valued skills may include:
• AWS Data Engineer certification
• Previous working experience within banking or financial services domain
• Experience with IAM and Permissions management in AWS cloud
• Experience with Databricks, Snowflake, Starburst, Iceberg
• You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

We are looking for a highly skilled and experienced Senior AIOps / MLOps Engineer with strong expertise in Azure Cloud, automation, platform engineering, CI/CD, observability, and enterprise-scale cloud operations.

The ideal candidate should have hands-on experience in designing, implementing, and managing modern cloud-native platforms with focus on AI/ML operationalization, DevOps automation, monitoring, reliability, and infrastructure modernization.

Required Experience

• 6 – 10 Years of overall IT experience
• Strong experience in AIOps / MLOps / DevOps engineering
• Hands-on enterprise experience in Azure Cloud platform engineering

Key Responsibilities

AIOps / MLOps

• Design and implement scalable enterprise-grade AIOps and MLOps platforms across cloud environments.
• Ensure AI platform reliability, governance, security, and model performance optimization.
• Implement LLM/AI model versioning, experiment tracking, drift detection, observability, and operational health monitoring frameworks.
• Collaborate with Data Science, DevOps, Cloud, and Application teams to accelerate AI/ML adoption and platform modernization.
• Develop automation frameworks for AI/ML pipelines, infrastructure provisioning, and operational workflows.
• Lead continuous improvement, automation, and standardization efforts across AI/ML operational ecosystems
• Mentor engineering teams and promote AIOps/MLOps best practices, innovation, and engineering excellence
• Strong Knowledge on embeddings, tokenization, vector databases, and AI/ML model training concepts

Preferred Skills

• Python, MLflow, Model Registry, Experiment Tracking
• Azure DevOps & Azure Cloud
• Azure Machine Learning
• LLMOps / Generative AI operationalization
• AI model deployment and lifecycle management
• AI Gateway and Model Serving architectures
• Azure OpenAI & Azure AI Foundry
• MCP Server implementation and configuration  
• CI/CD Automation & AKS

Soft Skills

• Strong communication and stakeholder management
• Good troubleshooting and problem-solving skills
• Ability to work independently and drive ownership
• Strong collaboration and documentation skills

Key Requirements:

• Strong programming skills in Python and MATLAB
• Ability to develop, test, and optimize research-based models and algorithms
• Good understanding of data analysis, simulations, and problem-solving techniques
• Familiarity with technical documentation and research workflows

Preferred (Plus Point):

Prior experience working in a research environment or academic projects

Education:

Bachelor’s degree in Computer Science, Engineering (BE), or a related field.

Experience:

Minimum 2+ years of hands-on experience in Python and MATLAB.

Job Title : AI Engineer

Experience : 2+ Years

Location : Mumbai (Onsite)

Employment Type : Full-Time

Reports To : AI Architect

About the Role :

We are looking for an AI Engineer with 2+ years of experience to design, assess, validate, and deploy AI solutions for enterprise clients. This is a hands-on role focused on building scalable, production-ready AI systems aligned with business outcomes.

The ideal candidate should enjoy solving complex problems, working with emerging AI technologies, and translating business needs into practical AI solutions.

Mandatory Skills :

Python, Large Language Models (LLMs), Generative AI, AI Agents/Agentic Workflows, Prompt Engineering, Retrieval-Augmented Generation (RAG), LangChain, OpenAI APIs (or equivalent), Vector Databases, REST APIs, AI Workflow Orchestration, Client-Facing Experience, and Strong Analytical & Problem-Solving Skills.

Key Responsibilities :

• Analyze and improve existing AI workflows, LLM implementations, and AI agents.
• Design AI solutions and agent workflows aligned with business objectives.
• Define and implement AI guardrails, governance practices, and risk controls.
• Build evaluation frameworks to measure accuracy, reliability, latency, and cost efficiency.
• Ensure AI systems are scalable, secure, and production-ready.
• Work closely with stakeholders and communicate technical concepts clearly.

Required Skills & Qualifications :

• 2+ years of experience in AI/ML Engineering, Generative AI, Machine Learning, or related domains.
• Strong analytical thinking and problem-solving skills with a systems-oriented mindset.

Hands-on experience with :

• Large Language Models (LLMs)
• AI Agents and Agentic workflows
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI workflow orchestration

Strong proficiency in :

• Python
• REST APIs
• Data structures and algorithms
• Experience working with:
• LangChain or similar frameworks
• OpenAI APIs or equivalent AI platforms
• Vector databases
• Embedding models

Understanding of :

• AI governance
• Model evaluation techniques
• Responsible AI principles
• Strong written and verbal communication skills.

Preferred Skills :

• Experience in client-facing or consulting environments.
• Exposure to enterprise AI implementations and production deployments.

Experience with :

• Cloud platforms (AWS, Azure, or GCP)
• Docker and containerized deployments
• MLOps practices
• AI monitoring and observability tools
• Exposure to regulated or high-risk industries is a plus.

Educational Qualification :

• Bachelor's degree in Computer Science, Engineering, AI, Data Science, or related field.
• Equivalent practical experience with strong projects and technical expertise may also be considered.

About the Role 

We are seeking an experienced Cyber Security Specialist who can operate across both offensive and defensive security disciplines. This dual-role professional will lead Vulnerability Assessment and Penetration Testing (VAPT) engagements, act as the in-house Red Team to simulate real-world adversaries, and own the implementation and continuous improvement of the Information Security Management System (ISMS) aligned with ISO/IEC 27001 and related standards. You will combine hands-on offensive security work with governance, audit readiness, and stakeholder engagement across engineering, IT, legal, and executive leadership. 

Key Responsibilities 

VAPT & Red Team Operations 

• Plan, scope, and execute end-to-end Vulnerability Assessment and Penetration Testing (VAPT) engagements across web applications, mobile apps, APIs, networks, cloud environments, wireless, and physical infrastructure. 
• Act as the organization's in-house Red Team, simulating advanced persistent threat (APT) actors through adversary emulation, social engineering, phishing campaigns, and physical intrusion testing where authorized. 
• Design and execute Red Team operations aligned with MITRE ATT&CK, TIBER-EU, and similar frameworks; develop custom Tactics, Techniques, and Procedures (TTPs). 
• Conduct manual and automated exploitation, post-exploitation, lateral movement, privilege escalation, and persistence testing in production-like environments. 
• Develop custom exploits, payloads, scripts, and tooling (Python, PowerShell, Bash, C/C++, Go) to bypass security controls during sanctioned engagements. 
• Perform source code reviews, threat modeling, and secure architecture reviews of new and existing systems. 
• Coordinate Purple Team exercises with the Blue Team / SOC to validate detection coverage and improve defensive playbooks. 
• Produce high-quality VAPT and Red Team reports with executive summaries, technical findings, proof-of-concept exploits, risk ratings (CVSS), and prioritized remediation guidance. 
• Re-test remediated findings and track closure with engineering and IT teams through to verification. 

ISO Compliance & Governance 

• Lead the implementation, maintenance, and continual improvement of the ISMS in line with ISO/IEC 27001:2022, including scope definition, Statement of Applicability (SoA), and risk treatment plans. 
• Own and maintain ISO policies, procedures, controls, and documentation across the organization, ensuring alignment with ISO 27001, ISO 27017, ISO 27018, and ISO 22301. 
• Plan and coordinate internal and external audits; serve as the primary liaison with certification bodies, auditors, and regulators. 
• Conduct risk assessments, business impact analyses (BIA), and threat modeling; maintain a central risk register and drive remediation. 
• Map VAPT and Red Team findings to ISO 27001 Annex A controls and feed results into the risk management lifecycle. 
• Support compliance with adjacent frameworks: SOC 2, NIST CSF, GDPR, HIPAA, PCI-DSS, and DPDP Act (India), as applicable. 
• Define and report security and compliance KPIs/KRIs to senior leadership; prepare materials for management reviews and board updates. 
• Develop and deliver security awareness training, phishing simulations, and role-based secure-coding training. 
• Drive third-party / vendor risk management, including security questionnaires, contractual clauses, and ongoing monitoring. 
• Partner with engineering and DevOps to embed security into the SDLC, CI/CD pipelines, and cloud architectures (DevSecOps). 

Incident Response & Continuous Improvement 

• Support incident response activities: detection, triage, containment, eradication, recovery, and post-incident reviews. 
• Maintain business continuity and disaster recovery plans; coordinate BCP/DR testing and tabletop exercises. 
• Stay current on emerging threats, CVEs, attacker techniques, regulatory changes, and ISO standard updates; recommend and drive improvements. 

Required Qualifications 

• 8+ years of progressive experience in cyber security, with at least 4 years in hands-on offensive security (VAPT, penetration testing, or Red Team) and 3+ years in ISO 27001 implementation and audits. 
• Proven track record of leading VAPT engagements across web, mobile, API, network, cloud (AWS / Azure / GCP), and wireless environments. 
• Hands-on experience executing Red Team operations and adversary emulation aligned with MITRE ATT&CK. 
• Deep proficiency with offensive security tooling: Burp Suite Pro, Metasploit, Cobalt Strike (or open-source equivalents like Sliver, Mythic, Havoc), Nmap, Nessus, Nuclei, BloodHound, Impacket, Responder, and OWASP ZAP. 
• Strong scripting and exploit development skills in Python, PowerShell, Bash, and at least one compiled language (C/C++, Go, or Rust). 
• Proven hands-on experience leading an organization through ISO 27001 certification and surveillance audits end-to-end. 
• Strong working knowledge of ISO/IEC 27001:2022 (including Annex A controls), ISO 27002, ISO 27017, ISO 27018, and ISO 22301. 
• Solid understanding of security domains: IAM, network security, endpoint security, cloud security, application security (OWASP Top 10, API Security Top 10), and Active Directory attack paths. 
• Experience with risk assessment methodologies (ISO 27005, NIST 800-30) and the ability to translate offensive findings into business risk. 
• Strong report-writing, policy-drafting, and executive communication skills. 
• Bachelor's degree in Computer Science, Information Security, Engineering, or a related field (or equivalent experience). 

Preferred Qualifications 

• Offensive security certifications: OSCP, OSEP, OSWE, OSED, CRTO, CRTP, CRTE, CRTL, GPEN, GXPN, GWAPT, or CEH Practical. 
• Governance certifications: ISO 27001 Lead Implementer and/or Lead Auditor, CISSP, CISM, CISA, or CRISC. 
• Cloud security certifications (CCSP, AWS Security Specialty, Azure Security Engineer, or GCP Professional Cloud Security Engineer). 
• Published CVEs, security research, bug bounty achievements, or contributions to open-source security tools. 
• Experience with Active Directory / Entra ID red teaming, Kerberos attacks, and modern EDR/XDR evasion techniques. 
• Experience with container, Kubernetes, and serverless security testing. 
• Experience implementing or auditing additional frameworks: SOC 2 Type II, NIST CSF, NIST 800-53, HITRUST, or PCI-DSS. 
• Experience with GRC platforms (Vanta, Drata, Sprinto, ServiceNow GRC, Archer, OneTrust). 
• Experience in regulated industries: financial services, healthcare, SaaS, or critical infrastructure. 
• Experience briefing executive leadership, customers, and external auditors on offensive findings and remediation strategy. 

Role: Data Engineer

 Experience: 5+ Yrs

Type: Hybrid (3 Days a week)

Location: Chennai, Bangalore, Hyderabad, Pune, Kolkatta

End Client: Cognizant

Contract Duration: 6 Months

Shift:- 10 AM - 7 PM IST

Must Have: 

* Strong experience in Python

* Expertise in Data Engineering Frameworks

* Hands-on experience with ETL processes

* CI/CD

* Experience working on GCP (Google Cloud Platform)

About VerbaFlo.ai 

VerbaFlo.ai is a fast-growing AI SaaS startup revolutionizing how businesses leverage AI-powered solutions. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions.

Role Overview 

We are looking for an Engineering Manager to design and develop user-friendly, scalable, and high-performance web applications. This role requires deep expertise in backend technologies, attention to detail, and the ability to collaborate with cross-functional teams.

Job Type: Onsite [Mon - Fri]

Shift Timings: 12 pm to 8 pm IST

Responsibilities 

• Design, develop, and maintain scalable backend systems, APIs, and data pipelines.
• Collaborate closely with frontend engineers, product managers, and AI teams to deliver cohesive features and seamless user experiences.
• Ensure the reliability, security, and performance of backend systems.
• Write clean, maintainable, and efficient code using modern backend practices.
• Implement automated testing, CI/CD workflows, and infrastructure as code (where applicable).
• Own the end-to-end lifecycle of backend features, from architecture to deployment.
• Monitor production systems and resolve performance and scalability issues.
• Contribute to architectural decisions and help evolve our engineering best practices.
• Lead and define backend architecture decisions, ensuring systems are built for long-term scalability and maintainability.
• Mentor and guide junior and mid-level engineers through code reviews, technical discussions, and design feedback.
• Act as a technical anchor for cross-functional initiatives, translating ambiguous product requirements into clear engineering plans.

Requirements 

• 7-11 years of overall experience in backend development [Required]. 
• 1-2+ years of experience working as an Engineering Manager [Required].
• 2-4 years of experience working in a startup [Seed/Series A or B] [Required]
• Proficiency in Node.js, Python, or Go.
• Deep understanding of RESTful API design.
• Strong experience with databases: PostgreSQL, MongoDB, ElasticSearch.
• Exposure to message queues, job schedulers, or event-driven architectures (e.g., SQS, Celery, etc).
• Familiarity with cloud platforms like AWS, GCP, or Azure and containerization tools (Docker, Kubernetes).
• Experience with Git, CI/CD tools, and writing unit/integration tests.
• Strong problem-solving skills and a mindset geared toward performance and security.
• Excellent communication and collaboration abilities.

Why Join Us?

• Work directly with top leadership in a high-impact role.
• Be part of an innovative and fast-growing AI startup.
• Perks & Benefits: gym membership benefit, workation policy, and company-sponsored lunch.
• Opportunity to take ownership of key projects and drive efficiency.
• A collaborative, ambitious, and fast-paced work environment.

If you’re looking for an exciting role that combines strategy, execution, and leadership exposure, we’d love to hear from you!

How do Technogisers function?

Value: Exploring technologies and implementing them on the projects provided they make business sense and deliver value.

Engagement: Be it offshore or onshore, we engage ourselves daily with the clients. This assists in building a trustworthy relationship at the same time, collaborating to come up with strategic solutions to business problems.

Solution: We are involved in providing hands-on contributions towards Backend & Front-end design and development at the same time, flourishing our DevOps culture.

Thought Leadership: Attend or present technical meet-ups/workshops/conferences to share knowledge and help build Technogise brand.

Note: All our roles are customer-facing roles.

This is a full-time 5 days work from office role as a Technology Consultant (Lead) located in Bangalore (Indiranagar).

Core Skills:

• We are looking for Lead engineer of industry experience exclusively in Python, React, AWS, Kubernetes, Docker, AI-first delivery mindset.
• You are also an advocate of good engineering practices
• Influence technical decision-making and high-level design decisions - choice of frameworks and tech approach
• Demonstrate the ability to understand different approaches for application, and integration and influence decisions by making appropriate trade-offsWays of working:
• You communicate effectively with other roles in the project at the team and client levels
• You drive discussions effectively at the team and client levels. Encourage others to participate

Going beyond:

• Establish credibility within the team as a result of technical and leadership skills
• Mentoring fellow team members within the project team and providing technical guidance to others beyond project boundaries
• Actively participate in organisational initiatives

Lead Data Scientist

Experience : 8+ Years

Location: Remote

Must Have Skills- Forecasting, Git, Classification, Code_Templates Regression, Python, SQL

Technical Leadership: Define the data science roadmap and technical standards for the team.

Oversee the end-to-end lifecycle of ML models, from research to production.

Generative AI & LLMs: Lead the integration of Large Language Models (LLMs) and Agentic workflows into company products, focusing on fine-tuning, RAG (Retrieval-Augmented Generation), and cost-optimization.

Strategic Alignment: Partner with Product, Engineering, and Business leads to identify high-impact opportunities for predictive analytics and automation.

Mentorship: Foster a culture of excellence by mentoring junior and senior scientists, conducting peer reviews, and promoting continuous learning.

MLOps & Scalability: Ensure models are robust, interpretable, and scalable by collaborating with ML Engineers to implement CI/CD for ML (MLOps).

Data Governance & Ethics: Champion data privacy and ethical AI practices, ensuring models are free from bias and compliant with evolving global regulations

Job Title: Lead Engineer – Generative AI

Role Overview

We are looking for a highly skilled Lead Engineer with strong expertise in Generative AI to lead the design and development of scalable, intelligent systems. The ideal candidate will bring deep technical knowledge, strong reasoning ability, and leadership skills to guide teams in building next-generation AI-driven solutions.

This role requires hands-on experience with modern AI frameworks, full-stack development, and cloud technologies, along with the ability to adapt quickly to evolving technologies.

Key Responsibilities

● Lead the architecture, design, and development of AI-powered applications and platforms.

● Drive the implementation of Generative AI solutions, including LLM-based systems and agentic workflows.

● Act as a subject matter expert (SME) for AI and Data & Analytics initiatives.

● Design and implement scalable and efficient LLM orchestration pipelines.

● Collaborate with cross-functional teams including product, data, and engineering.

● Mentor and guide development teams, ensuring best practices in coding, architecture, and AI integration.

● Deliver high-quality data products and analytics-ready solutions for stakeholders.

● Continuously evaluate and adopt emerging technologies in AI/ML and cloud ecosystems.

● Ensure system performance, scalability, and security across all deployments.

Required Skills & Qualifications

Experience

● 6+ years of experience in Python and React development

● 2+ years of hands-on experience in AI/ML / Generative AI

● 4+ years of experience in AWS and SQL (PostgreSQL preferred)

Technical Skills

● Strong expertise in:

○ LangChain & LangGraph

○ Large Language Models (LLMs)

○ LLM orchestration & agentic AI systems

○ Python (backend development & AI integration)

○ React & Node.js (full-stack development)

○ PostgreSQL and database design

○ AWS services (Lambda, EC2, S3, Bedrock, Sagemaker, etc.)

○ OCR technologies and document processing

● Solid understanding of:

○ AI system design patterns

○ Retrieval-Augmented Generation (RAG)

○ Vector databases and embeddings

Leadership & Core Competencies

● Strong problem-solving and reasoning skills

● Proven ability to lead and mentor teams

● Excellent communication and stakeholder management

● Ability to work in a fast-paced, innovation-driven environment

● Passion for continuous learning and adapting to new technologies

Nice to Have

● Experience in the Insurance industry

● Exposure to AI product development or AI venture studios

● Knowledge of compliance and regulatory considerations in AI systems

Strong Software Engineer fullstack profile using NodeJS / Python and React

Mandatory (Experience) - Must have 6+ YOE in Software Development using Python OR NodeJS (For backend) & React (For frontend)

Mandatory (Core Skills 1): Must have strong experience in working on Typescript

Mandatory (Core Skills 2): Must have experience in message based systems like Kafka, RabbitMq, Redis

Mandatory (Core Skills 3): Databases - PostgreSQL & NoSQL databases like MongoDB

Mandatory (Company) - Product Companies Only

Mandatory (Education) - B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes. Candidates from other institutions will not be considered unless they come from top-tier product companies

Mandatory (Note) : This role is a hybrid role (2 days WFO)

We are hiring for GEN AI + Python + LLM, Langchain +Azure AI Stack role

If you're interested in this position, revert to this mail along with your updated CV.

Experience : 5 to 12 years

Location : Hyderabad, Bangalore

Required Skill set :  Python, machine learning models, OpenAI, Fast API, Azure Stack, REST APIs, Autogen, and MCP. OpenAI technologies and applications,including Azure OpenAI GPT models. FastAPI,RESTful APIsAzure,Google Cloud Platform.TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas

Roles & Responsibilities :

We are seeking a Senior AI Developer with expertise in Python, machine learning models, OpenAI, Fast API, Azure Stack, REST APIs, Autogen, and MCP. The ideal candidate will have strong analytical and communication skills, be proactive, and possess the ability to lead small teams independently.

1.  Proficient in Python programming and machine learning frameworks
2.  Strong experience in developing and deploying machine learning models
3.  Proficiency in deep learning for Natural Language Processing (NLP) using BERT, GPT, and other Transformer-based models
4.  Basic understanding of computer vision techniques for image recognition or object detection
5.  Hands-on experience with OpenAI technologies and applications, including Azure OpenAI GPT models
6.  Experience integrating backend systems with APIs and libraries such as Hugging Face Transformers
7. · Proficient in FastAPI for building and deploying RESTful APIs
8. Experience with CI/CD pipelines for deploying FastAPI applications
9.  Experience with cloud platforms such as Azure (including Azure Stack) or Google Cloud Platform (GCP) for deploying AI solutions
10. Experience in data engineering, including data curation, cleaning, and preprocessing large-scale datasets for generative AI applications
11. Proficiency in using vector databases and NoSQL databases such as Elasticsearch or Azure Cosmos DB
12.  Experience with Autogen and MCP for automation and model management
13.  Knowledge of Docker and Kubernetes for containerization and orchestration
14. Proficiency with AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas
15. Understanding of AI evaluation metrics, data privacy, security, and ethical considerations in AI applications
16.  Strong analytical and problem-solving skills
17.  Strong communication skills with the ability to collaborate effectively in a team environment
18. Proactive attitude with the ability to independently lead small teams

AI Engineer — Vertexcover Labs

Who We Are

Vertexcover Labs is an employee-focused, engineer-run software studio. We partner with fast-growing, funded startups around the world—Rephrase.ai, Dhiwise, Dunzo, Dubdub, Xapo, Arintra etc.—to crack their toughest engineering problems. Everyone is an individual contributor; no management layers. Engineers choose the projects they work on, see each project's P&L, and share directly in the profits.

Whether it's building multi-agent systems for production, scaling ML pipelines across GPU clusters, or shipping RAG-powered products that end-users rely on—we solve hard AI problems for real companies.

A Few Problems We Are Currently Working On

• AI Agents Test-authoring agents that convert natural language into e2e tests.
• Ad-performance agents that learn what works for your brand and generate winning creatives automatically.
• Scale + MLOps Optimise ML pipelines and fix autoscaling by applying queuing theory while juggling CPU / GPU memory contention.
• RAG & Knowledge Systems Design and deploy retrieval-augmented generation pipelines—chunking strategies, embedding models, reranking, and evaluation loops.
• AI Video & Image Processing Build rendering pipelines, diffusion-model integrations, and real-time video processing at scale. You'll own at least one project like these—design, build, iterate.

Signals You're Probably the Right Fit

• Strong in at least one other language (Python, Go, Rust, TypeScript, Java …); happy to learn more.
• First principle understanding of how LLMs, embeddings, vector databases and AI Agents work
• Evidence of shipping real AI-powered software—OSS, side projects, or production features.
• Comfortable navigating the fast-moving AI landscape—papers, new model releases, evolving APIs.
• Clear written & spoken communication; async collaboration is our default.
• Self-directed—you ask for context, not permission.

How We Operate

• Project choice. Engineers vote on which engagements we take.
• Stack agnostic. We pick tools that fit the job, not the résumé.
• Pragmatic craftsmanship. Durable design, no gold-plating.
• Transparent economics. Know what your work is worth, share in the profits.
• Remote-native. Async by default; sync when it helps.

Hiring Process (Lean & Human)

1. 2–3 technical deep-dives with future teammates.
2. 30-minute culture chat.
3. Offer. No LeetCode marathons, no trick puzzles.

We read every application and reply to all candidates.

Role Overview

We are looking for a versatile Backend Developer to join our engineering team. You will be responsible for managing the interchange of data between the server and the users, developing server-side logic, and ensuring high performance and responsiveness to requests from the front-end.

This role is unique as it requires a strong command of both Python (for our modern microservices and data processing) and PHP (for our core application logic).

Key Responsibilities

• Feature Development: Build and maintain scalable backend services using Python (Django/FastAPI) and PHP (Laravel/Symfony).
• Integration: Develop and consume RESTful APIs to connect various internal and external services.
• Database Management: Optimize database queries and schema designs (PostgreSQL/MySQL).
• Code Quality: Write clean, maintainable, and efficient code while performing regular code reviews.

Required Skills & Qualifications

• Experience: 3–7 years of professional backend development experience.
• Python Stack: Deep understanding of Python and frameworks like Django, Flask, or FastAPI.
• PHP Stack: Strong proficiency in PHP and modern frameworks like Laravel.
• Databases: Experience with relational databases (MySQL, PostgreSQL) and NoSQL (Redis, MongoDB).

Role : AWS Data Engineer

Location : Anywhere in India - where cognizant office is available 

Contract duration : 12 months contract

Total Experience : 8-10 years

Budget-15LPA

Relevant Experience : 5+years with required skills & data engineering

Client : Cognizant

Job description : 

Python

Spark

Gradle 

AWS Services (ex: S3, Athena, Redshift, Transfer, SNS, SQS, Event Bridge, Lamda, Glue Data Catalog, RDS, EC2, IAM, Flink)

Kubernetes

Argo

Kafka / Kinesis streaming

SQL

ETL Data Pipelines

Data Modelling

Power BI/ Any reporting tools

New Relic / Terraform

Operational support - Batch monitoring, root cause analysis and fix

About Us: Website: https://www.tundratechnical.ca/ & https://tundramanagedsolutions.com/

Experience: 5-8 years

Shift: EST

Location: Bangalore

Mode: Hybrid

Position Requirements

Core (Must-Have) Skills

• Proficiency in Python with advanced use of NumPy, Pandas, and Scikit-learn

• Expertise in SQL, including complex queries and performance optimization

• Strong foundation in machine learning techniques (regression, classification, clustering, ensemble methods)

• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI

• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)

• Experience in data visualization (Seaborn, Plotly, Tableau, or Power BI)

• Applied knowledge of statistics and probability for model development

• Hands-on experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI)

• Exposure to large-scale data processing (Spark, Hadoop)

Preferred Skills

• Deep learning frameworks (TensorFlow, PyTorch)

• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI

• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)

• Data pipeline orchestration (Airflow, Prefect)

• Business domain knowledge (e.g., retail, finance)

Key Activities

• Preparing and preprocessing structured and unstructured data for analysis

• Designing, training, and validating machine learning models

• Deploying and operationalizing models in collaboration with engineering teams

• Building dashboards and data-driven visual insights for stakeholders

• Partnering with product and engineering teams to align models with business needs

• Monitoring, optimizing, and retraining models for performance improvements

Company Description

Recruiting Bond International is a next-generation Talent Intelligence, Executive Search, and Human Capital Advisory firm helping start-ups, enterprises, GCCs, and VC/PE-backed companies build high-impact global teams. It is a global leader in Recruitment Process Outsourcing (RPO), executive search, and workforce consulting, specializing in building transformative talent strategies.

From high-growth startups to Fortune 500 companies, Recruiting Bond partners with organizations across 50+ industries and 140+ countries to deliver fast, scalable, and inclusive hiring solutions. The company supports businesses in scaling teams, fostering innovation, and creating talent-first strategies to achieve their goals.

With deep expertise across Technology, FinTech, Healthcare, Real Estate, and Energy, Recruiting Bond is dedicated to building careers, companies, and futures by connecting world-class talent with high-impact opportunities globally.

About the Role

Our client is hiring a Backend Engineer (India-based, Remote) to design, build, and scale the core memory infrastructure powering production-grade AI agents.

This role is intended for an experienced engineer with 7–10 years of backend engineering experience, who has deeply internalized AI-native engineering practices and actively builds using tools such as Claude Code, Codex, Cursor, Windsurf, or comparable AI development tools as a core part of their workflow.

The hiring process is intentionally non-traditional and skill-first. There is no evaluation based on IIT pedigree, LeetCode performance, or conventional resume filters. Instead, the only evaluation criterion is: how you build with AI in real-world scenarios.

Candidates are expected to submit prompt logs or transcripts from Claude Code, Codex, Cursor, or Windsurf demonstrating a feature or product they are proud of.

What You'll Own

• Build and scale backend systems powering the memory infrastructure of the product
• Own and deliver features end-to-end, integrating AI coding tools into the core development workflow
• Design, manage, and optimize database, storage, and retrieval systems for persistent memory
• Collaborate closely on system architecture, scalability, performance, and reliability engineering
• Contribute directly to product roadmap decisions based on real customer usage and production insights

Requirements

Must-Have

• 7–10 years of backend engineering experience
• Demonstrated ability to build with AI coding tools (Claude Code, Codex, Cursor, Windsurf, or comparable)
• Ability and willingness to submit prompt log transcripts from a feature or product you are proud of
• Strong Python fundamentals
• Strong PostgreSQL or comparable relational database fundamentals
• Comfort owning systems end-to-end in production
• Based in India, remote work from anywhere in the country

Nice-to-Have

• Prior AI infrastructure or developer tools product experience
• FastAPI fluency
• Open-source contributions in AI, memory, vector databases, or developer tools
• Prior experience in memory systems, RAG pipelines, or vector database engineering
• Public technical writing or conference talks on AI-native engineering practices

Role Objective

As a Team Lead – AI/LLM Engineering, you will lead the development of scalable AI-powered applications and backend systems while managing a team of engineers. The role requires a strong balance of technical leadership and hands-on contribution in building production-grade solutions using Python, Django, RAG architectures, Vector Databases, and modern LLM frameworks. You will drive project execution, mentor team members, and ensure high-quality delivery of AI solutions.

Roles & Responsibilities

• Lead and manage a team of 6–10 engineers for AI/LLM-based projects.
• Drive end-to-end project delivery with focus on quality, scalability, and operational efficiency.
• Design and develop scalable backend systems using Python and Django.
• Build and optimize AI workflows involving RAG systems, Vector Databases, embeddings, and LLM orchestration.
• Work with technologies such as LangGraph and Model Context Protocol (MCP).
• Participate in architecture discussions, system design, and technical decision-making.
• Conduct code reviews and maintain engineering best practices.
• Mentor junior developers and support team growth.
• Collaborate with cross-functional teams for smooth project execution.
• Identify and remove technical blockers to improve team productivity.
• Contribute hands-on to development, debugging, and deployment activities.

Requirements

• Minimum 3 years experience as a developer.
• Minimum 7–8 months of experience with building AI systems.
• Strong hands-on experience in Python and Django development.
• Experience with Vector Databases and embedding-based retrieval systems.
• Good understanding of Data Structures & Algorithms.
• Strong knowledge of System Design and scalable application architecture.
• Experience working with AI/LLM integrations and RAG systems.
• Prior team leadership or mentoring experience.
• Good communication, analytical thinking, and problem-solving abilities.
• Ability to work in a fast-paced, collaborative environment.

Behavioural Skills

• Strong leadership and team management abilities.
• Excellent communication and interpersonal skills.
• Problem-solving mindset with strong analytical thinking.
• Ability to take ownership and drive projects independently.
• Adaptability to evolving technologies and project requirements.
• Good collaboration and stakeholder management skills.
• Strong decision-making and mentoring capabilities.

Technical Skills

• Python
• Django Framework
• Data Structures & Algorithms
• System Design
• Vector Databases
• Embeddings & Semantic Search
• RAG (Retrieval-Augmented Generation) Systems
• LangGraph
• Model Context Protocol (MCP)
• LLM Integration & Orchestration
• REST APIs
• Git & Version Control
• DevOps / Cloud Infrastructure (Preferred)
• Database Management Systems (SQL/NoSQL)

Data Engineer — Recommendation Engine

About the Company

~~ is India's first Gaming Commerce company, pioneering a new way for 500M+ gamers—an audience growing at 19.6% YoY—to shop inside games.

It is a white-label SaaS plugin that integrates into casual and hyper-casual games, transforming in-game coins into real-world value. Players can redeem them for brand coupons, digital services, or even physical products inside fully customizable in-game stores.

For gaming studios, ~~ directly solves the industry's toughest challenge—low retention—while also boosting monetisation. For brands, it unlocks a massive high-attention audience that already spends billions on in-game experiences, enabling targeted engagement with measurable ROI. Unlike traditional ads, PlaySuper embeds commerce into gameplay itself, improving recall, conversion, and loyalty.

The Role

We're building a recommendation engine that surfaces the right products to the right player at the right moment inside our in-game store. A core challenge: we have limited in-app behavioural data today, so the system must rely heavily on external market signals to make great recommendations from day one.

As our first Data Engineer, you will own the data infrastructure that makes this possible. You'll build the pipelines that collect, process, and serve these signals into our real-time ranking system.

This is a foundational hire. The entire recommendation engine—from Deal Quality Scores to seasonal trends—depends on the pipelines you build.

What You'll Do

• Own external data pipelines—scrapers for Flipkart/Amazon bestseller rankings, PriceHunt/Smartprix for price benchmarking, Google Trends API for brand and category demand signals
• Build the Deal Quality Score pipeline—a daily batch job that computes a competitiveness score for every product in our catalogue, stored in Redis for sub-millisecond lookup at serving time
• Maintain a seasonal and festive calendar—structured data store for trend overlays (IPL, Diwali, back-to-school, etc.)
• Design and own the in-store event schema in ClickHouse that will power behavioural cohorts as in-app data accumulates
• Build ETL infrastructure (S3 + Spark/Glue) for longer-horizon trend and market data
• Own data quality and freshness SLAs—you are responsible when a signal the reco engine depends on breaks silently

What We're Looking For

• 3–5 years of data engineering experience, ideally at a startup or product company
• Strong Python—you write clean, production-grade pipeline code, not just notebooks
• Experience building and maintaining web scrapers or data collection pipelines at scale
• Hands-on experience with a workflow orchestrator—Airflow, Prefect, or equivalent
• Solid SQL; experience with ClickHouse or another OLAP database is a strong plus
• Familiarity with Redis as a serving layer—you understand TTL, key design, and cache invalidation
• Comfortable with AWS—S3, Glue, ECS; you can set up infra without needing DevOps help
• You care about data quality—you monitor pipelines, set up alerts, and feel responsible when something breaks

Strong Plus (Nice to Have)

• Experience with e-commerce or marketplace data—price intelligence, product catalogues, category taxonomy
• Familiarity with recommender system data patterns
• Experience with Spark or distributed processing for larger datasets
• Prior work on gaming or consumer mobile products

Location: Gurgaon

Compensation: Competitive salary with an opportunity to get meaningful equity

Reports to: CTO

Why PlaySuper?

• Your pipelines feed the system that directly drives real GMV for our studio partners
• Small team, fast decisions, no bureaucracy
• Work directly with the CTO on architecture and direction
• Direct impact visible within weeks of shipping

This is a 100% remote opportunity.

Roles & responsibilities

• The candidate should have a Bachelor’s degree in Computer Science or a related field 
• Administration, Installations, Migrations, Patching, Backup and Recovery to provide 24x7 Production Support.
• Monitoring and analyzing Logs.
• Good understanding of Indexes, Statistics and Postgres
• Experience working in "Performance Tuning"
• Creation and maintenance of Databases, creating Roles and managing user permissions, resolving deadlocks.
• Worked on Database Maintenance, Backups and Recovery Plans.
• Database Monitoring, Performance Tuning, Query Optimization, Backup/Recovery, Security Management.
• Worked on Replication and Log Shipping related issues.
• Worked with Crontab 
• Administering databases in development, test, QA and production environment.
• Automation using PowerShell scripts, BASH, Python
• Implementing best practices for access controls
• Ability to document technical as well as management process flows
• Ability to work effectively with business areas, IT Support teams and peers
• Strong verbal and written communication skills
• Not required, but nice to have: experience working in Azure, AWS or Snowflake

• Strong hands-on experience in Microsoft Azure Cloud.
• Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
• Basic understanding of Azure AI Foundry and AI-related Azure service setup.
• Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
• Strong knowledge of Terraform, especially:
• Terraform state
• plan / apply
• troubleshooting failures
• migration risks
• Terraform Enterprise concepts
• Strong Python coding capability, not just basic scripting.
• Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
• Good understanding of CI/CD pipelines.
• Ability to troubleshoot pipeline failures.
• Comfortable with YAML and JSON.
• Ability to troubleshoot Azure infrastructure/platform issues.
• Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
• Basic awareness of agentic AI / LLM concepts.
• Awareness of security and cost best practices.

Good to Have Skills

• Hands-on experience with Harness.
• Hands-on experience with Terraform Enterprise.
• Exposure to LangGraph / LangChain.
• Exposure to agentic AI workflows or skill creation.
• Exposure to Claude or enterprise LLM integrations.
• Knowledge of Azure ML Workspace, model registry, and managed endpoints.
• MLOps / LLMOps knowledge.
• FinOps / Azure cost optimization experience.
• Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.

Screening Priority:

Azure Cloud + Terraform + Python Coding + CI/CD Troubleshooting + YAML/JSON + Basic Agentic AI Awareness

We’re Hiring: Forward Deploy Engineer – AI Solutions

Location: Hyderabad / NCR

Experience: 5–8 Years

Wits Innovation Lab is looking for a Forward Deploy Engineer – AI Solutions to design, deploy, and scale AI-powered enterprise solutions. The role involves working closely with clients, building AI-driven systems, integrating LLM-based solutions, and delivering scalable implementations across business workflows.

Key Responsibilities:

• Design and deploy AI-driven enterprise solutions

• Build scalable AI systems and multi-agent workflows

• Work on LLMs, RAG, embeddings, vector databases, and AI integrations

• Develop APIs, connectors, and secure data pipelines

• Collaborate with clients to prototype and productionize solutions

• Lead pilot projects and full-scale AI implementations

• Provide technical guidance, troubleshooting, and enablement support

Required Skills:

• Strong experience in Python or Java

• Good understanding of AI/ML concepts, LLMs, RAG, and vector databases

• Experience with AWS, Azure, or GCP

• Hands-on experience with API integrations and enterprise systems

• Knowledge of SDLC, Agile methodologies, and scalable system design

Good to Have:

• Experience with Agentic AI or multi-agent systems

• Docker and Kubernetes exposure

• Data analytics and visualization experience

• Consulting or customer-facing experience

Job Title: Agentic AI Intern (Full-Stack)

Location: Borivali, Mumbai (Onsite)

Position Type: Summer Internship

Job Overview

We are seeking a highly motivated and technically proficient Agentic AI Intern with a strong foundation in full-stack development. In this role, you will work at the intersection of modern web development and cutting-edge Artificial Intelligence, designing autonomous AI agents and integrating AI capabilities into robust applications. The ideal candidate is adaptable, language-agnostic, and eager to leverage modern AI tools to accelerate development velocity.

Key Responsibilities

• AI Agent Development: Assist in designing, building, and deploying autonomous AI agents and workflows.
• Full-Stack Development: Support backend architecture design and frontend interface development across various modern stacks.
• API & Tool Integration: Connect external LLM APIs and manage database configurations.
• Workflow Automation: Actively integrate modern AI-assisted development tools (such as Cursor, Windsurf, or GitHub Copilot) into your daily coding workflow.
• Technical Collaboration: Collaborate with the technical team to build prototypes and maintain clean, documented code.

Technical Requirements

• Backend Ecosystems: Solid foundational knowledge in backend development, with a primary preference for Python or Node.js.
• Frontend Frameworks: Competency in building modern user interfaces (experience with React, Next.js, or similar frontend technologies).
• Adaptability & Emerging Tech: High adaptability and a strong willingness or curiosity to work with high-performance ecosystems like Go, Rust, or other modern stacks as project demands evolve.
• AI Tooling & APIs: Familiarity with utilizing AI APIs and developing within modern AI-first IDEs.

Eligibility & Location Criteria

• Education: Open to current final-year students (looking for a Summer Internship) and recent graduates in CS, IT, or related engineering disciplines.
• Geographic Requirement: Candidates must reside along the Western Line within a 25km radius of Borivali to ensure a sustainable daily onsite commute.
• Competencies: A strong problem-solving mindset, a self-driven approach to learning new technologies quickly, and clear technical communication skills.

About the job

Introduction:

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company?

At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. 

And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.

We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive.

The Opportunity

We are looking for a Sr. Machine Learning (ML) Engineer with a strong sense of ownership. If you are an ML practitioner who thrives in an environment where innovation meets practical application to build disruptive products, this role is for you.

At Poppulo, we intend to redefine boundaries and reshape Employee Communications and Digital Signage through the power of cutting-edge machine learning and AI. We are not just building products; we are disrupting the status-quo with transformative solutions that challenge conventional thinking, create competitive edge and create new market opportunities.

This role is pivotal to the success of our AI team. It is the backbone of our ML initiatives. This role bridges the gap between research and production by leveraging cutting-edge AI technology into leading, world-class solutions.

As a Sr. Full-Stack Machine Learning (ML) Engineer, you be the key driver for innovative problem solving by combining technical excellence with creative application of ML. Your expertise will be crucial in uncovering hidden opportunities within product ideas, including the design and deployment of agentic AI systems that can reason, plan, and act autonomously within real-world product constraints. Additionally, you will stay at the forefront of emerging technologies, continuously evaluating new AI/ML frameworks, tools, and best practices to help guide the evolution of our software solutions.

Key Responsibilities

• Own end-to-end delivery of AI features across model, backend, APIs, UI integration, deployment, monitoring, and iteration in production
• Solve complex challenges with AI/ML: Design, develop new AI-powered products that deliver the product roadmap, including agentic AI solutions that orchestrate LLMs, tools, and workflows to solve multi-step problems autonomously.
• Implement ML lifecycle - from data engineering and model development to cloud-based deployment, integrations and operationalisation. Incl. MLOps
• Productionise full-stack AI/ML solutions: Translate emerging techs like GenAI& agenticAI architectures into innovative, practical solutions that transform customer experiences.
• Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy.
• Optimise Model and system performance: Fine-tune, optimise training and inference performances, including latency, cost, and reliability trade-offs in agent-based and LLM-driven systems.
• Wider collaboration: Partner with cross-functional teams to demonstrate and validate the impact of ML innovations before introducing them into the product ecosystem.
• Research Savvy: Staying up-to-date with SOTA and industry trends in AI/ML, with a strong awareness of advances in agentic systems, autonomous workflows, and multi-agent architectures.

Technical Skills / Competencies

• Strong AI/ML background: Expertise in designing, building and deploying real-world ML applications (Computer Vision, Classification, etc.)
• Strong foundation in GenAI: Deep understanding of generative models (LLMs, etc.), AI Agents, prompt engineering RAG, vector databases.
• Technical Expertise: Proficiency in ML/GenAI frameworks, databases, shell scripts and programming languages, including frameworks and tools commonly used for building and orchestrating AI agents.
• MLOps expertise: Hands-on experience in setting up MLOps on AWS, Azure and GCP.
• Full-stack expertise: Proficiency in data pipelines, distributed systems, APIs, web front-end, mobile apps, automated testing and cloud platforms (AWS, GCP, etc.).
• Exceptional problem-solving skills: Ability to simplify and breakdown complex technical and business challenges to create innovative and practical solutions.
• Team management: Experience in guiding teams to deliver high-impact solutions.
• Continuous learning: Ability to learn quickly and apply new technologies to solve problems practically.

Education & Experience

• Master’s or PhD in AI/ML or a related field
• At least 6+ years of experience building software or AI systems, including 1–3 years working with LLMs, generative AI, or AI agent architectures.

Why Us?

• An excellent workplace culture
• Competitive salary
• Company performance-related bonus
• Medical insurance
• Flexible working hours
• Educational assistance
• In-house soft skills training

Who We Are We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.

We live the Poppulo values each day, as they are key to everything we do.

• Bring Your Best Self We show up authentically, are self-aware and always strive to be better.
• See it. Own it. Solve it. We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures.
• Together We’re Better We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.

Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, the UK and India.

Poppulo is an equal opportunity employer.

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