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Devops Engineer

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Description

Role & responsibilities

We are seeking a hands-on Forward Deployed Engineer (FDE) with expertise in Generative AI, Hyperscaler Cloud Platforms, DevOps, and Platform Engineering. The role involves designing, deploying, integrating, and operationalizing AI agents and cloud-native solutions across enterprise environments while ensuring reliability, scalability, security, and operational excellence.

Key Responsibilities

  • Design, develop, and deploy AI/GenAI agents using Agentic AI frameworks and LLM technologies.
  • Build and operationalize agent workflows for automation, incident response, RCA, deployment validation, and reliability engineering.
  • Deploy and manage AI solutions across hyperscaler cloud platforms (Azure, AWS, GCP) and Kubernetes environments.
  • Integrate agents with CI/CD pipelines, observability tools, ITSM platforms, code repositories, and enterprise systems.
  • Develop reusable APIs, connectors, prompt templates, and automation frameworks.
  • Implement AI governance controls including guardrails, access controls, audit logging, monitoring, cost optimization, and rollback mechanisms.
  • Own deployment, troubleshooting, observability, and continuous improvement of AI agent platforms.
  • Collaborate with DevOps, SRE, Security, Platform, and Engineering teams to deliver production-ready solutions.

Required Skills & Experience

  • 5+ years of experience in Software Engineering, Cloud Engineering, DevOps, SRE, AI/ML Engineering, or related roles.
  • Strong programming skills in Python with experience building AI/GenAI applications.
  • Hands-on experience with LangChain, LangGraph, Agentic AI frameworks, and LLM technologies.

Preferred candidate profile



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