HI Rishabh,

As discussed, I am sharing the JD and role details to review.

JOB DESCRICTION:-

We are looking for a Senior AI Python Engineer to not only refactor and expand our production systems but also to pioneer our team's AI transformation—building generative AI applications, establishing AI-driven SDLC workflows, and centralizing our organizational intelligence.

Tech Stack: AWS (Advanced), Python, FastAPI, Gen AI Frameworks (LangChain/LangGraph/CrewAI), Boto3, Jenkins, AWS CDK / Sceptre.

Role and Responsibilities:-

- AI-Driven SDLC Transformation: Implement, optimize, and scale AI-assisted Software Development Life Cycle (SDLC) workflows across the entire engineering team to boost velocity and code quality.
- GenAI Application Development: Design and build production-ready applications around Generative AI, specializing in intelligent orchestration and multi-agent systems.
- Knowledge Management & Guardrails: Architect a single, centralized Knowledge Base (KB) accessible via AI, while designing and implementing strict governance and guardrails for secure, reliable AI output.
- Reusable AI Solutions: Create modular, reusable components, templates, and libraries utilizing LLMs to streamline future AI integrations across the organization.
- Core Engineering & Refactoring: Architect and implement new features,



refactor legacy media-processing pipelines, and optimize partner ingestion configurations.
- Leadership & Collaboration: Actively participate in Scrum ceremonies, mentor team members on AI best practices, and collaborate closely with stakeholders to align AI initiatives with business goals.

Requirements:-

- Experience: 5+ years of professional software engineering experience with a robust background as a Senior Python Developer.
- Core Backend Expertise: Deep, hands-on experience with Python development, specifically building robust, high-performance APIs using FastAPI.
- AI & Agentic Frameworks: Proven experience in the AI space, with strong practical knowledge of agentic development using frameworks like LangChain, LangGraph, CrewAI, or similar multi-agent orchestration tools.
- Cloud Architecture: Solid hands-on experience with AWS services (e.g., S3, Lambda, EC2, Bedrock, OpenSearch) and infrastructure-as-code principles (boto3, AWS CDK, or Sceptre).
- Software Excellence: Mastery of clean code principles, architectural design patterns, and automated testing.
- Modern DevOps & Agility: Strong experience with Linux/Shell scripting, CI/CD pipelines (Jenkins), Git version control, and Agile/Scrum methodologies.
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📌 Python GenAI Engineer (Hyderabad)
🏢 EPAM Systems
📍 Hyderabad