Senior Backend Engineer: Ai-Driven, Scalable Systems Remote
Zeo Consulting
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Job summary
AgileEngine is seeking a Senior AI Engineer to design agentic workflows and AI-powered products for enterprise customers in higher education. You’ll architect scalable, production-ready systems with a focus on reliability, security, and impactful outcomes.
You’ll mentor engineers and collaborate with product leadership to translate ambitious AI concepts into real-world solutions using Java, Spring Boot, TypeScript, Python, RESTful APIs, and AWS.
Qualifications
- 5+ years of experience in a software product development environment.
- Strong proficiency with Java and Spring Boot.
- 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.
Responsibilities
- 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.
Skills
Tools
Job description
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 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.
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.
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