Clearwater, Florida · Hyderabad, India

Agentic AI Engineer

Build reliable AI agents that plan, use tools and complete multi-step business workflows — with the guardrails enterprises require.

About the role

Build reliable AI agents that plan, use tools and complete multi-step business workflows — with the guardrails enterprises require.

What you’ll do

  • Design and implement single- and multi-agent systems
  • Build tool integrations, including MCP servers, with least-privilege access
  • Implement human-in-the-loop approvals, limits and audit trails
  • Create scenario test suites and agent observability
  • Work directly with client stakeholders to map workflows
  • Deploy agents on AWS or Azure

What you’ll bring

  • 3–6 years of software engineering experience
  • Hands-on experience building LLM applications or agents
  • Strong Python or TypeScript
  • Experience integrating with enterprise APIs
  • Understanding of AI security risks such as prompt injection

Nice to have

  • Experience with Bedrock AgentCore, Azure AI Foundry Agent Service or Vertex AI Agent Builder
  • OpenTelemetry tracing
  • Workflow engines (Step Functions, Temporal)

Tech stack

PythonTypeScriptLangGraphCrewAIMCPAmazon BedrockAzure AI FoundryOpenTelemetryDocker

What we offer

  • A permanent, full-time role
  • Enterprise projects for clients in the US and worldwide
  • Hands-on work across AI, cloud and modern engineering
  • A friendly, collaborative team
  • Clear paths for professional growth

Work authorization

Applicants must be authorized to work in the United States. We welcome US citizens, green card holders and others authorized to work for any US employer, as well as current H-1B holders (H-1B transfer). We are unable to consider F-1 OPT or CPT candidates for this role.

How to apply

Email your résumé to career@inspiredinfotech.com with the job ID IIT-US-202 in the subject line. Shortlisted candidates will be contacted by email.

Don’t see the right role?

Send your résumé to career@inspiredinfotech.com and tell us what you’d love to work on.

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