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.

Location: Noida, UP, India

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

Data Science and Machine Learning - Data Science and Machine Learning - Gen AI

Programming Language - Python - Flask

Beh - Communication

DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket

Cloud - AWS - AWS S3, S3 glacier, AWS EBS

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

Note: This description focuses on the role responsibilities, required skills, and competencies for the Gen AI Lead position. It omits company boilerplate and marketing copy.