[Hiring] Engineering Manager @Neogov

Role Description

Lead a small team to build NeoGov's AI platform — the shared AI services, infrastructure, and tooling used across our public-sector SaaS products.

• Own the roadmap and delivery of GenAI, AI agents, RAG, and intelligent automation into products used by governments and public agencies.
• Partner with Product, Data, Infrastructure, and Security to ship securely, compliantly, and at scale.

What You Will do

• Lead the team — hire, coach, and grow a small team of AI/ML and platform engineers.
• Own delivery — turn the AI strategy into a prioritized roadmap and ship it.
• Build the platform — GenAI services, agents and orchestration, multi-agent (A2A), MCP integrations, RAG, semantic search, tool calling, and workflow automation, packaged as reusable services.
• Set standards — define patterns, golden paths, and shared frameworks other teams build on.
• Modernize — microservices, event-driven, API-first, IaC, and CI/CD across .NET, Python, and cloud-native.
• Own governance & safety — evals, guardrails, tracing, hallucination and PII protection, and human-in-the-loop workflows.
• Stay hands-on — design reviews, prototyping, and unblocking the team.

Qualifications

• 6–8 years engineering experience, with 1–2 years leading as a manager or tech lead — open to a strong senior/staff engineer stepping into their first management role.
• Shipped shared/platform services other engineers build on.
• Hands-on with GenAI/LLMs, RAG, vector databases, and semantic search; familiar with agents, A2A, MCP, and tool calling (or eager to go deep fast).
• Strong .NET and Python — APIs, backend, and AI services.
• Solid distributed systems, microservices, event-driven, and API-first foundations.
• IaC (Terraform or AWS CDK), containers, CI/CD, and cloud-native SaaS.
• Working knowledge of AI governance and safety practices.
• Strong communication and leadership across engineering, product, data, and security.

Nice to Have

• Built 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 in regulated or public-sector environments.
• Familiar with eval/monitoring tools (Langfuse, LangSmith, MLflow, Phoenix) and data platforms (OpenSearch, Snowflake, Databricks).

Benefits

• Comprehensive Benefits package (medical, dental, vision, etc.) for full-time employees.
• Generous PTO to support work-life balance.
• Remote working opportunities.
• 401K Matching.
• Autonomy to grow and find your career path with supportive leadership.
• 12-week Paid Parental Leave.
• Inclusive and diverse environment.