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




Robust 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.

Skills: llm,ai,prompt flow,vector search,rag,azure ai search,gen ai,python

📌 AI Engineering (Bengaluru)
🏢 Arohana Tech Solutions Private
📍 Bengaluru