Senior Software Engineer

ID87667AgileEngine 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 usIf 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 roleWe 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 haves5+ 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 RES

Tful 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 doDesign 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 teammatesIf it’s a match—you’ll get an offer!