Senior AI Engineer

Sapiens; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Sapiens Bengaluru is seeking a senior AI engineer to design and implement agentic systems across the full implementation lifecycle. You will build multi-step reasoning agents, durable workflows, and grounding strategies using LangGraph and Azure AI Foundry, with a strong focus on reliable, auditable AI outputs.

You will also optimize RAG pipelines, maintain memory and context, and ensure production-quality Python code with CI/CD, observability, and robust testing practices.

Qualifications

• Demonstrated depth building and shipping production agentic AI systems.
• Hands-on experience with LangGraph or equivalent orchestration Frameworks.
• Deep proficiency in Python, clean and production-ready code.
• Experience designing end-to-end RAG systems: indexing, retrieval, grounding, evaluation.
• Daily working proficiency with Claude API and Claude Code.
• Experience deploying agents on Azure AI Foundry or equivalent platform.
• Understanding of LLM behaviour, limitations and evaluation methods.
• Experience debugging agent behaviour at trajectory and task level.
• Hands-on MCP-based interoperability patterns and tool-calling design.
• Modern software practices: testing, CI/CD, observability, tracing, debugging for LLMs.

Responsibilities

• Design and implement agentic systems capable of multi-step reasoning and workflow execution.
• Build stateful workflows with branching, retries, and human-in-the-loop checkpoints.
• Engineer for long-horizon reliability and auditable rationales for decisions.
• Develop RAG pipelines and grounding strategies across repos and data sources.

Skills

Agentic AI systems

LangGraph orchestration

Python

RAG design

Claude API

Azure AI Foundry

LLM behavior

Trajectory debugging

MCP patterns

CI/CD observability

Tools

LangGraph

Azure AI Foundry

Claude API

Job description

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.

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-efficient 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, drift, latency, and production behaviour
• Apply guardrails, safety controls, and failure-handling to reduce hallucinations in agents whose outputs practitioners act on directly in live client settings
• Evaluate agents at trajectory and task level — multi-step task success, failure-mode and regression analysis, sandboxed test environments — alongside retrieval and generation quality metrics, automated checks, and human review

Integration & production craft

• Build integrations with internal and external tools, APIs, enterprise systems, databases, and model providers so agents operate reliably within real delivery workflows
• Deliver production-quality Python code with strong practices in testing, CI/CD, logging, versioning, and documentation; make architecture decisions that balance quality, reliability, latency, cost, and model risk
• Translate ambiguous, high-complexity implementation processes into robust system logic and reusable AI patterns; stay current with advances in agentic systems and translate research into practical engineering decisions

Required Qualifications

• Demonstrated depth building and shipping production agentic AI systems — we weigh shipped systems over years in a title
• Strong, hands-on experience with LangGraph or equivalent agentic orchestration frameworks, including custom orchestration
• Deep proficiency in Python — clean, testable, production-ready code
• Experience designing and optimising end-to-end RAG systems: indexing, retrieval, reranking, grounding, and evaluation
• Daily working proficiency with Claude (Anthropic API) and Claude Code — you use these tools every day, not occasionally
• Experience building and deploying agents on Azure AI Foundry or an equivalent enterprise cloud AI platform
• Practical understanding of LLM behaviour — strengths, limitations, hallucination risks, reasoning constraints, and the evaluation methods used to measure them
• Experience evaluating and debugging agent behaviour at trajectory and task level, not just output quality
• Hands-on experience with MCP-based interoperability patterns and tool-calling agent design
• Modern software practices: testing, CI/CD, observability, tracing, and debugging for LLM-based systems in production

Preferred Qualifications

• Experience of 4+ years
• Experience with multi-agent orchestration and agent collaboration patterns
• Familiarity with vector databases — Pinecone, Weaviate, Azure AI Search, OpenSearch
• Experience building agents that process complex, unstructured document types — contracts, RFPs, configuration files, regulatory documents
• Exposure to model adaptation techniques such as LoRA or QLoRA
• Prior work in insurance, financial services, or enterprise SaaS implementation environments
• Demonstrated habit of staying current with AI research, benchmarks, and emerging engineering patterns

About Us

Sapiens International Corporation N.V. is a global leader of AI-centric, SaaS-based insurance software, delivering hyper-relevant experiences that are efficient, compliant, and innovative. With agile intelligence, Sapiens’ solutions turn real-time data and human insight into precise action at every moment, across every risk.

The Sapiens platform includes agentic workflows accelerating every capability across policy, underwriting, claims, reinsurance, decisioning, finance and compliance. With more than 600 insurers in over 30 countries running on Sapiens, our deep industry expertise is the foundation of our long-term relationships, from initial implementation through to modernisation and market transformation.

Sapiens is headquartered in London, serving customers in property and casualty, life, reinsurance, specialty, and workers’ compensation from offices across North America, Europe, Asia Pacific and the Middle East including Israel where the company was founded.

Disclaimer: Sapiens India does not authorise any third parties to release employment offers or conduct recruitment drives via a third party. Hence, beware of inauthentic and fraudulent job offers or recruitment drives from any individuals or websites purporting to represent Sapiens . Further, Sapiens does not charge any fee or other emoluments for any reason (including without limitation, visa fees) or seek compensation from educational institutions to participate in recruitment events. Accordingly, please check the authenticity of any such offers before acting on them and where acted upon, you do so at your own risk. Sapiens shall neither be responsible for honouring or making good the promises made by fraudulent third parties, nor for any monetary or any other loss incurred by the aggrieved individual or educational institution.