Gen 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
   1. Lead end-to-end design and development of GenAI-powered applications.
   2. Ability to understand and translate customer requirement into scalable AI architectures and meaningful design leveraging cloud services
   3. Drive adoption of LLM orchestration frameworks (LangChain 1.0, LangGraph, OpenAI tools, custom agents).
   4. Keep pace with technological evolution in Gen AI space, explore and set up PoC for better solutions
2. Generative AI Development
   1. Build RAG pipelines using vector databases, embeddings, and document indexing.
   2. Design and implement Agentic workflows
   3. Implement vector search using PGVector, FAISS etc.
   4. Create embedding pipelines, chunking strategies, metadata tagging, and retrieval optimizations.
   5. MCP
3. Python Cloud
   1. Build backend services, API layers, and model-serving components in Python (Flask).
   2. Understanding of AWS services such as ECS, API Gateway, S3, Bedrock, CloudWatch, SageMaker.
   3. Performance and Security as first principles
4. Collaboration
   1. Lead a small team of engineers, conduct code reviews and design reviews.
   2. Work with cross-functional teams Product, Architecture, Security, Data Engineering.
   3. Ensure best practices in coding, testing, observability, and DevOps.

Mandatory Competencies

• Programming Language - Python - Flask
• Data Science and Machine Learning - Data Science and Machine Learning - Gen AI
• Cloud - AWS - AWS S3, S3 glacier, AWS EBS
• DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket
• Data Science and Machine Learning - Data Science and Machine Learning - AWS Sagemaker
• Cloud - AWS - ECS
• Development Tools and Management - Development Tools and Management - CI/CD
• Beh - Communication and collaboration