Generative AI Lead

Role Overview :

We are looking for an experienced Lead Engineer (8 - 10 Years) with strong 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 lead design, architecture, and development of scalable AI solutions, mentor the team, and collaborate closely with product and architecture teams.

Key Responsibilities : 1. Architecture, Design & Technical Leadership :

• Lead end-to-end design and development of GenAI-powered applications.

• Ability to understand and translate customer requirement into scalable AI architectures and meaningful design leveraging cloud services.

• Drive adoption of LLM orchestration frameworks (LangChain 1.0, LangGraph, OpenAI tools, custom agents).

• Keep pace with technological evolution in Gen AI space, explore and set up PoC for better solutions.

2. Generative AI Development :

• Build RAG pipelines using vector databases, embeddings, and document indexing.

• Design and implement Agentic workflows.

• Implement vector search using PGVector, FAISS etc.

• Create embedding pipelines, chunking strategies, metadata tagging, and retrieval optimizations, MCP.

3. Python & Cloud :

• Build backend services, API layers, and model-serving components in Python (Flask).

• Understanding of AWS services such as ECS, API Gateway, S3, Bedrock, CloudWatch, SageMaker.

• Performance and Security as first principles.

4. Collaboration :

• Lead a small team of engineers, conduct code reviews and design reviews.

• Work with cross-functional teams Product, Architecture, Security, Data Engineering.

• Ensure best practices in coding, testing, observability, and DevOps.

Required Skills :

• Strong proficiency in Python (Flask, REST, async programming).

• Deep hands-on experience with Generative AI and LLM-based applications.

• Expertise in RAG development, embeddings, vector databases.

• Experience with Agent frameworks (LangChain 1.0, LangGraph, ReAct, OpenAI Assistants, or custom agents).

• Strong understanding of AWS/Azure/GCP Cloud architecture.

• Experience with API development, microservices, and event-driven systems.

• Familiarity with CI/CD pipelines, Docker, GitLab/GitHub Actions.

Mandatory Competencies :