Engineering Manager - AI Platform

The role

What you will do

• Hire, coach, and grow a small team of AI/ML and platform engineers.
• Turn AI strategy into a prioritized roadmap and deliver it.
• Build reusable GenAI services, agents and orchestration, multi-agent A2A, MCP integrations, RAG, semantic search, tool calling, and workflow automation.
• Define shared patterns, golden paths, and frameworks for other teams.
• Modernize microservices, event-driven and API-first systems, IaC, and CI/CD across .NET, Python, and cloud-native environments.
• Own evaluations, guardrails, tracing, hallucination and PII protection, and human-in-the-loop workflows.
• Contribute hands-on through design reviews, prototyping, and unblocking the team.

Must-haves

• Six to eight years of engineering experience, including one to two years leading as a manager or tech lead; strong senior or staff engineers stepping into management are also considered.
• Experience shipping shared or platform services used by other engineers.
• Hands-on GenAI or LLM, RAG, vector database, and semantic search experience; familiarity with agents, A2A, MCP, and tool calling or eagerness to develop expertise quickly.
• Strong .NET and Python skills for APIs, backend, and AI services.
• Foundations in distributed systems, microservices, event-driven architecture, and API-first design.
• Infrastructure as code, containers, CI/CD, and cloud-native SaaS experience.
• Working knowledge of AI governance and safety practices.
• Strong communication and leadership across engineering, product, data, and security.

Nice to have

• Experience building AI platforms, internal AI tooling, or an AI Center of Excellence.
• Experience with agents, A2A, MCP servers, tool registries, agent memory, and observability.
• .NET modernization and Python AI services experience.
• Delivery experience in regulated or public-sector environments.
• Familiarity with evaluation and monitoring tools such as Langfuse, LangSmith, MLflow, or Phoenix, and data platforms such as OpenSearch, Snowflake, or Databricks.

Work location

• The role is remote from anywhere in the United States or Canada.

Benefits

• Full-time employees receive medical, dental, vision, and other benefits, paid time off, remote working opportunities, 401(k) matching, and 12 weeks of paid parental leave.
• The employer describes an inclusive and diverse environment with supportive leadership and opportunities for career growth.