AI Engineering

We are looking for an AI Engineer to enhance and operationalize KAI's GenAI architecture. The role will focus on strengthening the retrieval evidence pipeline, improving chunking/contextualization, implementing evaluation frameworks, and collaborating closely with Product/PM, SMEs, and platform/engineering teams to deliver measurable improvements in answer quality, reliability, and trust. Required Skills & Experience • 3-6+ years in AI Engineering with 1+ year in GenAI/RAG systems. • Experience with Microsoft ecosystem: - Microsoft Agent Framework - Azure AI Search - Azure AI Foundry - Prompt Flow (or similar evaluation tooling) • Hands-on experience with: - RAG pipelines (retrieval → context assembly → generation) - Vector search + hybrid search - Chunking strategies and ingestion pipelines • Strong understanding of: - Grounding/factuality issues and hallucination failure modes - Evaluation approaches (golden sets, LLM-as-judge, regression testing) • Proficiency in Python (preferred) and/or TypeScript with the ability to implement services, pipelines, and automation. • Experience in building telemetry/monitoring and working in DevOps environments. • Comfortable collaborating with product and business stakeholders; able to explain technical trade-offs in plain language.