Senior AI Software 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.

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 applications for enterprise software products.

The mandatory requirements are 5+ years of software development experience, building AI apps and agents, Python, TypeScript, AWS, and an upper-intermediate English level.

Must haves

• 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.

Nice to haves

• 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.

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.

Perks and benefits

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps;

• Competitive compensation: We match your skills and contributions with USD-based compensation and budgets for education, fitness, and team activities;

• A selection of exciting projects: Work with Fortune 500 enterprises and leading product brands using modern solutions;

• Flextime: Flexible schedule with remote and office options for work-life balance;

Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

● Short online form to confirm basic requirements

● 30–60 minute skills assessment

● 5-minute introduction video

Synchronous stage – Live interviews

● Technical interview with our engineering team (scheduled at your convenience)

● Final interview with your future teammates

If it’s a match—you’ll get an offer!