Senior Agentic AI Engineer ID87667

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.

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

We are looking for a Senior AI Engineer to design and build agentic workflows and AI-powered applications for enterprise software products.

- 5+ years of experience in a software product development environment.

- Strong proficiency with Java and Spring Boot.

- Strong proficiency with JavaScript and React.

- Strong proficiency with relational databases.

- Hands-on experience building AI agents, tool-using LLM applications, or orchestrated workflows.

- Experience with multi-agent systems, RAG, vector search, agent evaluation, or human-in-the-loop 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.

- Experience with Python.

- Experience with RESTful APIs.

- Experience with 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.

- Demonstrated ability to use AI coding agents as productive engineering collaborators across an application codebase.

- Ability to provide agents with clear context, constraints, architecture, acceptance criteria, and technical direction.

- Strong judgment in reviewing, testing, securing, and improving agent-generated code rather than accepting outputs without verification.

- Ability to decompose complex application work into agent-ready tasks while maintaining architectural consistency and product intent.

- Experience creating workflows in which agents can reason, select tools, call APIs, manage state, recover from failures, and escalate to people when appropriate.

- Ability to design agentic applications around real user needs, including intuitive experiences, reliable workflows, permissions, audit trails, and meaningful error handling.

- Ability to move from prototype to production by addressing performance, scalability, security, monitoring, evaluation, cost, and ongoing maintenance.

- A product mindset: the ability to understand a problem deeply, make appropriate tradeoffs, and deliver a complete solution that customers can depend on.

- Upper-intermediate English level.

- Experience building enterprise SaaS or multi-tenant systems.

- Familiarity with higher education technology and its privacy and compliance requirements.

- Experience leading technical transformation or introducing new engineering practices.

- 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.

- 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.

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.