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Collinson Logo Collinson · IT - Software Development

Ai Platform Engineer

India, Mumbai · Job Posted June 29, 2026
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Job Description

We're looking for an AI Platform Engineer, someone who believes the ability to work effectively with AI should belong to every team, not just a handful of specialists. This role is pivotal to how Collinson adopts and scales AI across our engineering teams. You'll build the platform, tooling, and practices that let teams deploy AI capabilities safely and effectively, laying the foundations for how we work with AI as an organization, focusing on integrating AI within our Software Developer Lifecycle (SDLC). We're early in our AI journey, so you'll operate with a degree of autonomy and ambiguity, working consultatively with teams to understand what they need and helping them get there. You'll be hands-on, educating, and surfacing the risks and opportunities that leadership needs to make the bigger calls.

Job Responsibility

  • Educate and partner with engineering teams on working effectively with AI, establishing the patterns and best practices that help them adopt new capabilities safely
  • Integrate AI across the software development lifecycle, embedding it into IDEs, code review, test generation, CI/CD pipelines, and documentation workflows, and connecting the tools used within our environment including Jira, Confluence, and GitHub
  • Build the platform layer that enables teams to safely deploy and run agents
  • Develop orchestration tooling that coordinates multi-agent workflows, manages state, and routes work across agents
  • Create and maintain MCP servers, command line tools and prompt libraries that teams can safely build on
  • Own the operational health, safety, and cost efficiency of AI systems in production
  • Instrument AI systems for end-to-end observability in Datadog, capturing traces, token usage, latency, and cost at the span level so teams can see how agents and prompts behave in production and act on regressions before they reach users
  • Build testing harnesses for non-deterministic systems that measure whether agent and prompt changes improve accuracy

Requirements

  • Production AI operations experience
  • Agentic system design
  • Cloud infrastructure comfort
  • Consultative problem-solving
  • Hands-on engineering experience in TypeScript or Python, comfortable with Terraform, containers, Kubernetes, CI/CD, and API design
  • Communication and teaching
  • Evaluation framework experience
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