Staff Agentic AI Developer

This is a remote role in the US and Canada

NEOGOV is a proud AI-Enabled SaaS leader in the Public Sector & Public Safety space with a mission to serve the people who serve the people. Our clients use our software to streamline everyday processes NEOGOV is a leading AI-enabled SaaS provider serving the public sector and public safety organizations nationwide. 

For more than 25 years, we’ve helped agencies streamline critical workforce and operational processes through an integrated, intelligent platform. From hiring and onboarding to employee growth, retention, compliance, and public safety operations, our solutions support the full employee lifecycle. Guided by our mission to serve the people who serve the people, we combine innovation, customer focus, and purpose-driven technology to help build stronger communities.

This posting is for an existing vacancy.

We are looking for a highly experienced Agentic AI Engineer with 7 years of experience to design, build, and scale autonomous AI systems. This role focuses on developing advanced multi-agent systems capable of reasoning, planning, and executing complex workflows using LLMs.

A key part of this role is implementing Spec-Driven Development (SDD), where structured specifications drive automated code generation, validation, and deployment workflows.

You will lead the design of agent-driven platforms that automate SDLC, enterprise workflows, and decision systems.

• Architect and build autonomous AI agents with advanced reasoning capabilities

• Design multi-agent orchestration systems (planner, supervisor, executor)

• Implement Spec-Driven Development (SDD) systems to convert requirements into executable workflows and code

• Define and manage artifacts such as RequirementsPack, ArchitecturePack, and execution manifests

• Design memory systems (vector DB, knowledge graph, hybrid RAG)

• Optimize systems for scalability, latency, and cost

• Integrate agents with enterprise platforms and APIs

• Drive best practices in prompt engineering and context engineering

• Mentor engineers and guide technical direction

• 7 years of software engineering experience

• 3 years of experience with Generative AI / LLM systems

• Strong programming skills in Python (preferred) or Go

• Experience with distributed systems and backend architecture

• Hands-on experience with cloud platforms (AWS preferred)

• Proven experience designing scalable systems

Core Skills

• LLM orchestration and reasoning systems

• Prompt and context engineering

• RAG and hybrid retrieval systems

• Vector databases and semantic search

• Agent frameworks (LangGraph, LangChain, or similar)

• Multi-agent system design patterns

• Spec-Driven Development (SDD) and spec-to-code workflows

Preferred Qualifications

• Experience building production-grade agent systems

• Experience implementing SDD frameworks (OpenSpec, BMAD, or similar)

• Familiarity with knowledge graphs and graph-based reasoning

• Experience with Kubernetes, Docker, and scalable infrastructure

• Experience with evaluation frameworks and guardrails

Nice to Have

• Experience with SDLC automation or coding agents

• Familiarity with MCP or A2A communication patterns

• Exposure to reinforcement learning or agent optimization

• Experience in enterprise AI platforms

What Success Looks Like

• Deliver production-grade autonomous agents at scale

• Successfully implement spec-to-code pipelines using SDD

• Drive measurable impact through automation and AI

• Improve system reliability, reasoning, and performance

• Competitive Wages

• Comprehensive Benefits package (medical, dental, vision, etc.)

• Generous PTO to support work-life balance

• 401K/RRSP Matching

• Paid Parental Leave

• Autonomy to grow and find your career path with supportive leadership

• Remote working opportunities

• Inclusive and diverse work environment

NEOGOV does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, protected military status, or other non-merit factors.

Our hiring process may include Artificial Intelligence (AI) screening for keywords and minimum qualifications. Recruiters review all results.

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