Description

You will build and deploy AI-driven solutions using Python, AWS, and GenAI frameworks.

This role is on-site.

Responsibilities

• Leverage GitHub Copilot, Claude Code, and Amazon Q Developer to generate high-quality code from business stories and create PRs.
• Develop and optimize GenAI applications, including LLM integrations and chatbot systems.
• Design and maintain AWS cloud infrastructure, utilizing EKS, ECS, S3, Lambda, and Kafka for event streaming.
• Implement prompt engineering, context engineering, RAG, vectorization, and memory management strategies.
• Manage NoSQL/SQL databases and Redis caching layers for AI workloads.

Required Skills

• 6+ years in ML/AI with 4-5 years of hands-on Python programming.
• >1 year of GenAI experience working with various LLMs and chatbots.
• 4+ years of AWS experience (EKS, ECS, S3, Lambda, Kafka, Bedrock, OpenAI).
• Strong knowledge of prompt engineering, token management, and long-term vs. short-term memory.
• Experience with RAG, vectorization, and Agentic AI frameworks.
• Proficiency in SQL and NoSQL database development.
• Familiarity with Redis Cache.

Preferred Skills

• Experience with Amazon Bedrock and Claude.
• Background in building end-to-end AI coding assistants.

Key Skills

Education

Bachelor's degree