Senior Agentic AI Developer
NEOGOV · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
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Job highlights
- Design and build autonomous AI systems.
- Develop advanced multi-agent systems with LLMs.
- Implement Spec-Driven Development (SDD) workflows.
- Optimize systems for scalability and performance.
- Mentor engineers and guide technical direction.
About the role
About the Role
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. Our mission is to serve the people who serve the people, combining 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 Senior Agentic AI Developer 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.What You Will Do
- 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.
Who You Are
- 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.
What NEOGOV Offers
- 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
Key Skills/Competency
- Senior Agentic AI Developer
- Autonomous AI Systems
- Multi-Agent Systems
- LLM Orchestration
- Spec-Driven Development (SDD)
- Prompt Engineering
- Vector Databases
- Python
- Cloud Platforms (AWS)
- Scalable Systems Design
Skills & topics
- Senior Agentic AI Developer
- AI Developer
- Agentic AI
- Autonomous Systems
- LLM
- Generative AI
- Multi-Agent Systems
- Python
- Cloud Computing
- SaaS
How to get hired
- Tailor your resume: Highlight your 7+ years of software engineering and 3+ years of Generative AI/LLM experience. Emphasize Python/Go, distributed systems, and cloud platforms like AWS.
- Showcase AI expertise: Detail your work with LLM orchestration, prompt engineering, RAG, vector databases, and agent frameworks like LangGraph or LangChain.
- Demonstrate SDD experience: Clearly outline your experience with Spec-Driven Development, spec-to-code workflows, and any related frameworks (OpenSpec, BMAD).
- Prepare for technical interviews: Be ready to discuss system architecture, scalable design principles, and specific AI/ML concepts relevant to agentic systems.
- Understand NEOGOV's mission: Align your application with NEOGOV's goal of serving the public sector and public safety through innovative technology.
Technical preparation
Master Python/Go and AI/LLM libraries.,Build personal projects with agent frameworks.,Deep dive into RAG and vector databases.,Practice SDD implementation and automation.
Behavioral questions
Describe a complex AI system you designed.,How do you handle technical disagreements?,Share an experience mentoring junior engineers.,How do you optimize AI systems for cost?
Frequently asked questions
- What are the key responsibilities for a Senior Agentic AI Developer at NEOGOV?
- As a Senior Agentic AI Developer at NEOGOV, you will architect and build autonomous AI agents, design multi-agent orchestration systems, implement Spec-Driven Development (SDD) workflows, design memory systems like vector databases, and optimize systems for scalability and cost. You will also integrate agents with enterprise platforms and mentor other engineers.
- What programming languages and technologies are essential for this Senior Agentic AI Developer role at NEOGOV?
- Proficiency in Python (preferred) or Go is essential. Experience with Generative AI/LLM systems, distributed systems, backend architecture, cloud platforms (AWS preferred), vector databases, RAG, and agent frameworks (LangGraph, LangChain) are crucial for this role at NEOGOV.
- Does NEOGOV use AI in its hiring process for the Senior Agentic AI Developer position?
- Yes, NEOGOV's hiring process may include Artificial Intelligence (AI) screening for keywords and minimum qualifications for the Senior Agentic AI Developer position. Recruiters review all AI screening results to ensure a thorough evaluation.
- What experience is required for the Senior Agentic AI Developer role at NEOGOV regarding autonomous systems?
- NEOGOV requires a Senior Agentic AI Developer to have 7+ years of overall software engineering experience and at least 3 years of experience with Generative AI/LLM systems. Proven experience designing scalable autonomous AI systems and multi-agent systems is key.
- Can I apply for the Senior Agentic AI Developer role at NEOGOV if I have experience with Spec-Driven Development (SDD)?
- Absolutely. Experience with Spec-Driven Development (SDD) and converting requirements into executable code and workflows is a core requirement and a significant advantage for the Senior Agentic AI Developer role at NEOGOV. Experience with specific frameworks like OpenSpec or BMAD is a plus.
- What are the benefits of working as a Senior Agentic AI Developer at NEOGOV?
- NEOGOV offers competitive wages, a comprehensive benefits package, generous PTO, 401K/RRSP matching, paid parental leave, opportunities for professional growth and autonomy, and remote working options. They foster an inclusive and diverse work environment.
- Is the Senior Agentic AI Developer role at NEOGOV remote?
- Yes, the Senior Agentic AI Developer role at NEOGOV is a remote position, open to candidates located in the US and Canada.