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Fulcrum Digital

Agentic AI / Python Developer (AWS)

Fulcrum Digital Coimbatore North, Tamil Nadu, India

IT Services and IT Consulting · 1,001-5,000 employees

Sep 07
python Senior (5-10 yrs) Full-time India
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About the role

Design and implement multi-agent, LLM-powered workflows using Python and AWS technologies. Lead the offshore AI sub-team while setting technical standards and mentoring team members.

What they look for

Python AWS Agentic AI LangChain LangGraph Bedrock AgentCore RAG Vector Databases LLM Pipelines Orchestration Inference Optimization MLOps LLMOps Software Engineering

Requirements

Requires 7-8 years of experience in software or AI engineering with strong Python fundamentals. Must have hands-on experience with LangChain, LangGraph, and AWS AI services.

Full description

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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.

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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.

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