Senior Engineer
2 weeks ago
Role Overview
We are looking for an Gen AI Engineer (4-6 years) with good expertise in Python, AWS Cloud, Generative AI, and hands-on experience in RAG (Retrieval Augmented Generation), Agentic workflows, and building LLM-powered applications.
The ideal candidate will contribute to the design and development of scalable AI solutions, work closely with senior architects, and collaborate with cross-functional teams.
Key Responsibilitie
- sGenerative AI Design & Developmen
- tContribute to the design and implementation of GenAI-powered applications
- .Translate functional requirements into efficient Python services
- .Work with LLM orchestration frameworks (LangChain 1.0, LangGraph, OpenAI tools, custom agents)
- .Participate in PoCs and exploratory work for new GenAI capabilities
- .Python & Clou
- dBuild and enhance RAG pipelines using embeddings, vector databases, and chunking strategies
- .Implement basic Agentic workflows under guidance from senior team members
- .Work with vector search systems (PGVector, FAISS, etc.)
- .Implement indexing, metadata tagging, and retrieval optimizations
- .Exposure to MCP / tool-integration frameworks is an added advantage
- .Collaboratio
- nParticipate in code reviews, design discussions, and documentation
- .Follow best practices in coding standards, testing and DevOp
- sCollaborate with team
.Required Skill
- sStrong hands-on proficiency in Python (Flask, REST, async programming)
- .Practical experience with Generative AI and LLM-based applications
- .Good understanding of RAG system, embeddings, vector databases
- .Exposure to Agentic frameworks (LangChain 1.0, LangGraph, ReAct, OpenAI Assistants, or custom agents)
- .Familiarity with AWS Cloud (ECS, S3, API Gateway, IAM, Bedrock)
- .Experience with API development, microservices, containerization etc
- .Knowledge of CI/CD pipelines, Docker, GitLab/GitHub Actions
.
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