Description

You will build and deploy generative AI applications and autonomous agent workflows on AWS.

This role is on-site.

Responsibilities

• Develop production-grade AI solutions using Python, LLMs, and AWS services (EKS, ECS, S3, Lambda, Kafka).
• Implement RAG systems, vector databases, and prompt engineering strategies for context management and memory.
• Utilize GitHub Copilot, Claude Code, or Amazon Q to generate code, build prompts, and create PRs from business requirements.
• Design and validate autonomous agentic workflows, including multi-agent systems and real-time decisioning.
• Conduct A/B testing for AI features and manage token usage, caching, and NoSQL/SQL database integration.

Required Skills

• 3-6+ years in ML/AI with 4-5 years of hands-on Python programming.
• 1+ year of GenAI experience working with LLMs and chatbots.
• 4+ years of AWS cloud experience, specifically EKS, ECS, S3, Lambda, and Kafka.
• Deep understanding of Prompt/Context engineering, RAG, Vectorization, and Token management.
• Experience with Amazon Bedrock, Claude, OpenAI, and Redis Cache.
• Proficiency in building coding prompts and contexts using GitHub Copilot, Claude Code, or Amazon Q.
• Strong knowledge of NoSQL/SQL database development.

Preferred Skills

• Hands-on development of MCPs and autonomous agentic workflows.
• Background in Auto Lending or Auto-finance.

Key Skills

Education

Any Graduate