Develop and deploy generative AI solutions: convert business stories into working code using Copilot/LLMs, implement prompt/context engineering, RAG/vectorization, manage AWS infrastructure (EKS, ECS, Lambda, S3), integrate streaming (Kafka), databases, and build agentic workflows and autonomous multi-agent systems. Validate via A/B testing and optimize caching, token management, and long- vs short-term memory.
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
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