Agentic AI / Python Developer (AWS)
Fulcrum Digital Coimbatore North, Tamil Nadu, India
IT Services and IT Consulting · 1,001-5,000 employees
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
Requirements
Requires 8-10 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
Agentic AI / Python Developer (AWS)
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.
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
8–10 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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