Job highlights

- Required Technical Skills . AI Agentic AI . Strong handson experience in LLM application development . Agentic AI design and implementation experience . Multiagent orchestration experience .
- Experience with secure AI design including guardrails and PII handling .
- Experience building APIs using FastAPI .

Role Overview We are looking for an experienced AI Engineer Tech Lead to support strategic modernization initiative The role will focus on designing building and leading productiongrade agentic AI capabilities that enhance claim professional workflows reduce cycle time automate repetitive tasks and enable scalable AI delivery across the value stream The selected candidate will work closely with technology leads engineering teams product stakeholders and delivery teams to develop AInative solutions using LLM based reasoning multiagent orchestration RAG patterns vector search prompt management AI evaluation observability and secure deployment practices

Key Responsibilities

Lead the design and implementation of AIfirst and agentic AI solutions for the strategic modernization Build and integrate LLMbased reasoning capabilities into claim and operational workflows to improve efficiency and reduce manual effort Design and implement multiagent orchestration patterns using enterprisestandard AI frameworks Develop scalable Pythonbased AI services APIs MCP servers and automation components Implement RAGbased solutions using embeddings vector stores and enterprise knowledge sources Create and manage versioncontrolled prompts using prompt management practices





Establish AI quality validation through response evaluation grounding checks and output testing Ensure AI security controls including PII detection guardrails and prompt injection defense Collaborate with engineering architecture product and delivery teams to convert AI concepts into productionready capabilities Provide technical leadership to developers and engineers working on AInative use cases Support CICD infrastructure automation observability and productionreadiness practices Partner with stakeholders during technical screening solution walkthroughs and onboarding into PI delivery cycles

Required Technical Skills

AI Agentic AI

Strong handson experience in LLM application development

Agentic AI design and implementation experience

Multiagent orchestration experience

Prompt engineering and prompt lifecycle management

AI evaluation and response quality validation

Experience with secure AI design including guardrails and PII handling

Preferred AI Stack Alignment

AWS Bedrock

AgentCore

Claude Sonnet

AWS Strands SDK

Amazon Titan Embeddings v2

Bedrock Prompt Management

Bedrock Guardrails

AgentCore Evals Braintrust

Engineering Platform Skills

Strong programming expertise in Python

Experience building APIs using FastAPI

Knowledge of TypeScript and React for AIenabled UI integration

Experience with GitHub and GitHub Actions





Infrastructure automation exposure using Terraform or AWS CDK Experience with observability and tracing using OpenTelemetry Familiarity with monitoring AI agents for latency token cost execution steps and reliability Working knowledge of Dynatrace ELK and OTel is preferred Functional Domain Expectations Ability to understand claim lifecycle workflows and identify AI automation opportunities

Experience translating business problems into AIenabled workflow solutions Ability to support modernization initiatives across assisted surfaced and automated AI maturity phases Solid understanding of enterprisegrade delivery expectations not just prototype development Ability to work in SAFe PIbased delivery environments Modernization objectives include integrating LLMbased reasoning into claim professional workflows automating repetitive claim tasks using multiagent orchestration delivering productiongrade agentic AI and building a durable AI delivery model that scales across the value stream

Mandatory Qualifications 8 years of software engineering experience 3 years of handson AI ML LLM engineering experience Strong Python development background Practical experience with LLMbased application architecture Experience building APIs automation services or AInative backend services Experience with cloudnative AI services preferably AWS Strong understanding of RAG embeddings vector search and prompt management Experience with CICD Gitbased development and production deployment practices Strong communication skills and ability to work with distributed engineering teams

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Data Scientist (Kolkata)
🏢 LTM
📍 Kolkata