Lead Gen AI Engineer

About the Role :

We are looking for a Software Engineer who combines deep data engineering expertise with hands-on experience in Generative AI and Agentic AI system development on AWS Cloud.

This role is ideal for someone who can design, build, and deploy production-grade GenAI workflows integrating LLMs, vector databases, and orchestration frameworks—with the same rigor as a traditional data system.

Key Responsibilities :

• Design and maintain data pipelines and AI data infrastructure on AWS (Glue, Lambda, S3, Redshift, Step Functions, Athena, etc.).
• Develop and deploy LLM-based applications and Agentic AI workflows using frameworks like LangChain, LlamaIndex, or AutoGen.
• Build RAG (Retrieval-Augmented Generation) pipelines using AWS services (S3 + Bedrock + SageMaker + OpenSearch / Vector DB).
• Implement agentic reasoning, tool calling, and orchestration for multi-agent workflows.
• Containerize and deploy AI services using Docker, ECS, or EKS, ensuring scalability, cost-efficiency, and observability.
• Integrate AWS Bedrock, SageMaker, or OpenAI APIs with internal data systems and applications.
• Set up monitoring, tracing, and model observability using AWS CloudWatch, X-Ray, or third-party LLMOps tools.
• Collaborate with ML engineers, data scientists, and architects to take GenAI prototypes to production-ready deployments.

Required Skills & Experience :

Nice to Have :

For Quick Response- Interested Candidates can directly share their resume along with the details like Notice Period, Current CTC and Expected CTC at [HIDDEN TEXT]

Skills Required

Pyspark, AWS Glue, Vpc, AWS CloudWatch, Iam, AWS ECS, Python