Develop generative AI solutions using Python, AWS, LLMs, chatbots, prompt and context engineering, RAG, vector databases, and agentic AI frameworks. Build coding prompts and contexts with GitHub Copilot, Claude Code, and Amazon Q Developer to convert business stories into production code and pull requests. Design autonomous and multi-agent workflows, memory and token-management systems, caching strategies, MCPs, and real-time AI decisioning features. Auto-lending experience and A/B testing expertise are advantageous.
AI Engineers Mandatory: • 3-6+ years in ML/AI with strong python hands-on programming (4-5 years) • Extensive knowledge and expertise of leveraging GitHub Copliot/Claude Code/Amazon Q Developer to build coding prompts & contexts to convert business stories into quality working code & generate PRs. • > 1 year of GenAI hands on experience including working with different LLMs & Chatbots • 4+ years of AWS cloud experience including EKS, ECS, S3, Lambda, Kafka event streaming, Amazon Bedrock/Claude/OpenAI Redis Cache, NoSQL/SQL DB development • Solid knowledge of Prompt engineering/context engineering, Long term vs short term memory, Token management, RAG & Vectorization, Cache management, different frameworks of Agentic AI including Nice to have/Plus to have: • Hands on development of building MCPs & building autonomous agentic workflows • Agentic AI Development including Multi-agent systems for autonomous workflows • A/B testing of AI features including validation of agentic real time decisioning • Auto Lending/Auto-finance background & experience • Hands on RAG implementation including vectorDBs
Hexaware Technologies Chicago, Illinois, USA Office
Chicago, United States, 0
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