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.

The mandatory requirements are hands-on experience building AI applications and agents, Python, TypeScript, and AWS, 5+ years in software product development, Java and Spring Boot, JavaScript and React, relational databases, and strong English communication skills.

Must haves

  • 5+ years of experience in a software product development environment.
  • Strong proficiency with Java and Spring Boot.
  • Experience with JavaScript and React.
  • 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.
  • Upper-intermediate English level.

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

  • Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
  • Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
  • Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
  • Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
  • Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
  • Well-being & support: access local well-being programs and people-focused support tailored to your location

Didn’t find the perfect fit?

Subscribe to get notified about new roles that match your skills and interests.

Get role alerts

Hiring process timeline

We designed our hiring process to be fast, transparent, and convenient — so you always know what to expect and can move through the steps without unnecessary delays.

lightning-iconA quick note

After applying, keep an eye on your inbox — including your spam folder. Occasionally, emails from our hiring platform, LaunchPod, may land there.

1

Tell us about yourself

Submit a short application form.

2

Pass a quick test

Pass a 30’- 60’ test.

3

Record a short video

Introduce yourself on video to fast-track your application process.

4

Meet our team

Once you pass the video review, grab a spot on our calendar for a technical interview.

5

Get an offer

Welcome to AgileEngine!

FAQ

Have any questions?

What is the work format and schedule?

We are a remote-first company, so all our positions are remote. Schedules are flexible, but the main requirement is to have an overlap with your client’s schedule to ensure smooth collaboration. Specific details depend on the project and are discussed during the interview process.

What level of English is required?

We look for Upper-Intermediate (B2) proficiency or higher. Since you will be collaborating with international teams and global clients (including Fortune 500 companies), English is a part of your daily work.

Does AgileEngine provide work equipment?

It depends on your location. We provide equipment in Ukraine, Poland, Argentina, Colombia, Mexico, Brazil, Guatemala, Portugal, Spain, and India. In the USA, equipment is usually provided by the client; otherwise, you will be expected to use your own setup.

What opportunities for professional growth do you offer?

We support continuous growth through personalized development paths tailored to each expert. Also, you can expect:

  • An annual learning and development budget
  • Internal workshops, tech talks, and mentorship programs
  • Opportunities to switch projects or grow into new roles over time

What does a typical team look like, and what tools do you use?

Teams vary by project, but you’ll usually work with a mix of experts across different fields, along with a delivery or project manager who supports collaboration and onboarding.

For day-to-day work, teams commonly use tools like Jira and Google Workspace, along with communication platforms such as Google Chat. Depending on the client, you may also work with Slack, Confluence, Notion, or similar tools.

Need help?

Want more details? See full FAQ

If something doesn’t work or you have questions regarding your application process, drop us a line.

    Scroll to Top