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senior

AI Engineer

AgileEngine
format:Remotecompany:Outsource
pythontypescriptjavaspringjavascriptreactawsrest-apiai agentsmulti-agent systemsragvector searchllmdistributed systems
saas
test task:yes
englishB2
experience5+ years
domainAI
> full description

Hi there! 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 ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
● A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
● Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office — whatever makes you the happiest and most productive.


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!

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