Senior AI Engineer, Release Engineering
Intercontinental Exchange21 hours ago
Responsibilities
- Design, build, and maintain the agent platform, including agent APIs, MCP integrations, intent routing, and agent and skill registries.
- Create multi-step, tool-using agents and release workflows for pipeline triage, release readiness, documentation, and rollback assistance.
- Develop prompts, skill definitions, context structures, failure recovery patterns, and the company’s AI Development Life Cycle.
- Implement least-privilege access, zero-trust controls, human-in-the-loop approvals, audit logging, compliance controls, and protections against prompt injection and data leakage.
- Build evaluation frameworks, regression tests, quality metrics, tracing, structured logging, model routing, caching, token-budget management, and cost attribution.
- Own platform reliability through health checks, runbooks, explicit failure modes, and production support for release tooling, CI/CD pipelines, and AI workflows.
- Drive platform adoption through developer-facing interfaces, documentation, mentoring, reusable patterns, user feedback, and collaboration with engineering and infrastructure teams.
- Write clean, tested, and secure code and participate in code reviews, design reviews, and technical documentation.
Requirements
- Bachelor’s degree or an equivalent combination of education and experience.
- 5+ years of professional experience in software engineering, DevOps, or release engineering, including platform or internal tooling work.
- Hands-on experience with CI/CD and Git-based source control platforms such as GitHub or Bitbucket, with GitHub preferred.
- Understanding of agentic patterns including planning, tool selection, multi-step tasks, agent loops, and failure modes.
- Strong prompt-engineering and context-window management skills, including experience with skill definitions or scoped system prompts.
- Working knowledge of AI security risks, including prompt injection.
- Daily use of AI coding tools such as Claude Code, GitHub Copilot, Codex, Cursor, or similar products.
- Preferred experience with LangChain, LlamaIndex, LiteLLM, AutoGen, Node.js, TypeScript, Go, Python, LLM APIs, tool calling, structured output, MCP, evaluation sets, regression testing, RAG, vector databases, cloud AI platforms, internal developer platforms, React, Angular, relational databases, LLM observability, Terraform, Ansible, Puppet, Chef, regulated environments, automated testing, Kubernetes, OpenShift, Linux, and distributed-system troubleshooting.
- Demonstrated experience building and delivering at least one production or near-production agentic automation or process using LLM APIs.
- Experience with infrastructure as code, configuration management, containers, orchestration, and troubleshooting Kubernetes workloads, CI/CD pipelines, or message queues.
Benefits
- The role is identified as on-site.
- The posting describes opportunities to mentor teams, influence company-wide AI development practices, and work on an internal developer platform.
Tech Stack
Categories
About Intercontinental Exchange
Intercontinental Exchange operates global exchanges and clearing houses, offers fixed income and commodities trading platforms, and sells market data, listings, and mortgage technology to financial institutions and lenders. Its revenue comes from transaction and clearing fees, data subscriptions, listings, and software. Founded in 2000 and headquartered in Atlanta, it owns the New York Stock Exchange and ICE Mortgage Technology, and is publicly traded on the NYSE under the ticker ICE.