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Senior Agentic AI Engineer ID98909
AgileEngine
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Source date: 10/30/2026
About this role
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for a Senior AI Engineer to design and build agentic workflows and AI-powered products for enterprise customers in higher education. MUST HAVES - 5+ years of experience in a software product development environment. - Strong proficiency with Java and Spring Boot. - Experience with JavaScript and React. - Experience with relational databases. - Hands-on experience building AI agents, tool-using LLM applications, or orchestrated workflows. - Experience using agents to support coding, code review, testing, release management, or incident response. - Senior-level experience building and operating production software systems. - Experience with TypeScript, Python, RESTful APIs, and infrastructure on AWS. - Experience with APIs, workflow engines, event-driven architectures, integrations, or distributed systems. - Strong understanding of testing, observability, security, permissions, and failure recovery. - Ability to turn ambiguous opportunities into practical, reliable technical solutions. - Strong communication skills and the ability to influence engineering practices across a team. - Experience building enterprise SaaS or multi-tenant systems. - Leadership mindset and ability to drive changes across different teams. - Upper-intermediate English level. NICE TO HAVES - Experience with multi-agent systems, RAG, vector search, agent evaluation, or human-in-the-loop workflows. - Familiarity with higher education technology and its privacy and compliance requirements. - Experience leading technical transformation or introducing new engineering practices. WHAT YOU WILL DO - Design and build agentic workflows that coordinate tools, services, data, and human approvals. - Develop reusable patterns for agent orchestration, tool use, context management, memory, and multi-agent collaboration. - Use agentic coding tools throughout the development lifecycle, including planning, implementation, testing, debugging, refactoring, code review, and documentation. - Integrate agents into software development, testing, deployment, support, and operational workflows. - Establish standards for agent evaluation, observability, reliability, security, and governance. - Prototype new agentic capabilities and turn successful experiments into production systems. - Build complete, usable products—not just demonstrations or isolated model integrations. - Identify opportunities to improve engineering productivity and product delivery through agentic development. - Mentor engineers and help shape an agentic-first technical strategy across the organization. - Collaborate with product and engineering leaders to connect agentic capabilities to meaningful outcomes. - Demonstrate the ability to use AI coding agents as productive engineering collaborators across an application codebase. - Provide agents with clear context, constraints, architecture, acceptance criteria, and technical direction. - Review, test, secure, and improve agent-generated code rather than accepting outputs without verification. - Decompose complex application work into agent-ready tasks while maintaining architectural consistency and product intent. - Create workflows in which agents can reason, select tools, call APIs, manage state, recover from failures, and escalate to people when appropriate. - Design agentic applications around real user needs, including intuitive experiences, reliable workflows, permissions, audit trails, and meaningful error handling. - Move from prototype to production by addressing performance, scalability, security, monitoring, evaluation, cost, and ongoing maintenance. - Understand problems deeply, make appropriate tradeoffs, and deliver complete solutions that customers can depend on. PERKS AND BENEFITS - Professional growth : Mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation : USD-based pay with education, fitness, and team activity budgets. - Exciting projects : Modern solutions with Fortune 500 and top product companies. - Flextime : Flexible schedule with remote and office options. Meet Our Recruitment Process Application → Coding Challenge → Video Interview → Technical Interview or Hiring Manager Interview Each step helps us understand your skills and overall fit. If it’s a match, you’ll receive an offer.