[Hiring] Senior Agentic AI Developer @Neogov

Role Description

This is a remote role in the US and Canada. 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

Qualifications

• 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

Requirements

• 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

Benefits

• 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