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AI & machine learning / UTIS-SWE-IN-004

Software Engineer (Python, APIs & AI Agents)

Build Python APIs, microservices, cloud-native applications and AI-agent workflows for a global semiconductor company while collaborating remotely with a US-based team.

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Region
India
Work arrangement
Remote
Engagement type
Independent/Corp-to-Corp contract or full-time with UTIS India
Working hours
At least 50% overlap with US Pacific or Eastern business hours, agreed with the team; remaining hours flexible in IST.
Posted
October 16, 2026
Applications
Open until filled

What you will work on

  • Design REST APIs and microservices, including contracts, versioning, authentication and error handling.
  • Integrate services through synchronous APIs and asynchronous messaging patterns.
  • Write automated tests and improve logging, metrics and tracing.
  • Package applications with Docker and deploy on Kubernetes or managed container services in Azure or AWS.
  • Build agents and multi-step workflows with tool calling, state management, retries and guardrails.
  • Integrate LLM services and expose application capabilities through APIs or MCP servers.
  • Document architecture tradeoffs and deliver through the team’s Agile process.

What you bring

  • 4+ years of professional software engineering.
  • Advanced production Python, modern frameworks such as FastAPI, Django or Pydantic, and async programming.
  • Production REST API and microservices development and operations.
  • Cloud-native application development on Azure or AWS with CI/CD.
  • Docker and Kubernetes deployment, configuration, secrets, scaling and troubleshooting.
  • Hands-on AI-agent development using tool calling, LLM APIs, state and error handling.
  • System design, architecture review and Scrum or Kanban delivery.
  • Clear written and spoken English and at least 50% overlap with agreed US business hours.
  • Own laptop and peripherals, reliable internet and a secure workspace; hardware is not provided.

Useful additional experience

  • LLM applications, RAG, vector search and agent frameworks.
  • Model Context Protocol server development and integration.
  • React or Angular frontend development.
  • Data engineering with Databricks, Spark or Azure Data Factory.
  • Semiconductor or manufacturing experience.

Engagement details

  • Long-term client engagement.