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Sapiens · Bengaluru, Karnataka

Senior Agentic AI Engineer

Hybridseniorfull timePosted today
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Stack mentioned

agentic-airagvector-databasesobservabilitypythonci/cdanthropicazurellmpineconeweaviateelasticsearchfine-tuning

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Senior

Location Bangladore, India

Working Model Fulltime, Hybrid

Req ID 12345

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Senior Agentic AI Engineer

Req ID: 56747

Location:

Bangalore, IN

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Role Title: Senior Agentic AI Engineer

About Us:

Sapiens International Corporation N.V. is a global leader in intelligent, SaaS-based software solutions. With Sapiens’ robust platform, customer-driven partnerships, and rich ecosystem, insurers are empowered to future-proof their organizations with operational excellence in a rapidly changing marketplace.

Our solutions help insurers harness the power of AI and advanced automation to support core solutions for property and casualty, workers’ compensation, and life insurance, including reinsurance, financial & compliance, data & analytics, digital, and decision management.

Sapiens boasts a longtime global presence, serving over 600 customers in more than 30 countries with our innovative offerings. Recognized by industry experts and selected for the Microsoft Top 100 Partner program, Sapiens is committed to partnering with our customers for their entire transformation journey and is continuously innovating to ensure their success.

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 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.

Sapiens is an equal opportunity employer. We value diversity and strive to create an inclusive work environment that embraces individuals from diverse backgrounds.

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 were 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.

If you come across any fraudulent activities in the name of Sapiens, please feel free report the incident at sapiens to [email protected]

We Are

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, and 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 modernization 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, the Middle East, and Asia Pacific.

Your Recruitment Journey

We will keep you in the loop, as we focus on providing an inclusive screening and interview process. Each country has a local flavor, but here's what you can expect during our recruitment process:

Apply

Take the first step in our journey by submitting an application that reflects your skills, experiences, and professional aspirations.

1

Review

Your CV will be carefully reviewed by our talent team to explore how your unique skills and potential align with Sapiens' needs and culture

2

Interview

This is your opportunity to shine! Meet with our team, showcase your abilities, and learn more about Sapiens

3

Offer

If there's a great match, we'll extend an offer to welcome you to our team. This is the exciting moment when your new journey begins to take shape

4

Onboard

Once you accept, we'll guide you through a comprehensive onboarding process, introducing you to your new colleagues, roles, and the exciting challenges ahead

5

Disclaimer

Sapiens India does not authorize 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 were acted upon, you do so at your own risk. Sapiens shall neither be responsible for honoring 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.

In the event that you come across any fraudulent activities in the name of Sapiens, please feel free report the incident at sapiens to [email protected].

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