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Fulcrum Digital

Agentic AI / Python Developer (AWS)

Coimbatore North, INオンサイト正社員フルタイム

2026年9月24日に掲載

この求人はENで掲載されています


Who are we

Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, healthcare, and manufacturing.

 Agentic AI / Python Developer (AWS)


Role Overview

Core builders of the agentic AI capability — designing and implementing multi-agent, LLM-powered workflows in Python on AWS, including AgentCore / Bedrock and RAG integrations.

Experience Profile

7–8 years of software / AI engineering with strong Python and hands-on agentic AI.

Key Responsibilities

  • Design and build agentic AI workflows (planning, reasoning, tool use, orchestration) in Python.

  • Implement LLM pipelines using LangChain / LangGraph and AWS AgentCore / Bedrock.

  • Integrate agents with enterprise APIs, data and vector stores (RAG).

  • Optimise prompts, memory, orchestration and inference performance.

  • Deploy, monitor and harden agentic services on AWS.

  • Offshore senior developer leads the offshore AI sub-team, sets standards and mentors.

Required Skills

  • Strong Python engineering fundamentals.

  • Hands-on LangChain / LangGraph and multi-agent orchestration.

  • AWS domain including AgentCore / Bedrock; RAG, embeddings and vector databases.

  • Production deployment of AI services.

Preferred / Nice-to-have

  • Insurance / underwriting exposure.

  • AWS certification; MLOps / LLMOps experience.



職種スナップショット

職種

フルタイム

必要なスキル

Python engineering fundamentalsAgentic AI design and implementation (multi-agent systems: planning, reasoning, tool use, orchestration)LangChainLangGraphAWS AgentCoreAWS BedrockRetrieval-Augmented Generation (RAG) integrationsVector databases and embeddings (vector stores)Prompt engineering and prompt optimizationModel inference performance optimizationDeploying, monitoring and hardening AI services on AWS (production deployment)Integration with enterprise APIs and data systemsMLOps / LLMOps practicesTeam leadership, mentoring and setting engineering standards (offshore lead)Insurance / underwriting domain knowledge (preferred)

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