Senior Agentic AI Engineer

About the Role

Insurance software implementations are among the most complex, document-heavy, and process-intensive programmes in enterprise technology. A single implementation can involve thousands of configuration decisions, hundreds of requirement documents, and years of delivery time. Sapiens is rebuilding how that work gets done — using production-grade AI agents that operate across the full implementation lifecycle, from pre-sales and scoping through to configuration, testing, and go-live.

Work You'll Do

Agent architecture & orchestration
Design and implement agentic systems capable of multi-step reasoning, planning, tool use, and workflow execution against complex, document-intensive implementation processes
Build stateful workflows using LangGraph or equivalent — including branching, retries, self-correction, human-in-the-loop checkpoints, and reusable orchestration patterns
Engineer for long-horizon reliability — multi-step task completion, recovery from compounding errors, planning under uncertainty,



and robust tool use when individual steps fail
Build the reasoning behind high-stakes implementation decisions — criteria-grounded outputs, structured review patterns, and auditable rationales that delivery consultants can act on and defend

Retrieval, grounding & context engineering
Develop end-to-end RAG pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual compression, and grounding strategies
Engineer memory and context management — conversational state, persistent memory, retrieval-aware context assembly, and token-effective context selection
Apply MCP-style tool and context interfaces so agents access the right information at the right time across enterprise knowledge repositories, document sources, and structured configuration data

Reliability, evaluation & safety
Implement observability and tracing for prompts, tool calls, retrieval quality, agent traces, failures,

📌 Senior Ai Engineer Bengaluru
🏢 Sapiens
📍 Bengaluru