Note: The job is a remote job and is open to candidates in USA. NEOGOV is a public-sector technology company providing SaaS solutions for government and education organizations. The Engineering Manager will lead a team building a shared AI platform, owning the roadmap and delivery of GenAI, AI agents, RAG, and intelligent automation while partnering across Product, Data, Infrastructure, and Security.
Responsibilities
- 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
Skills
- 6–8 years engineering, 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
- 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
Company Overview
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