About the role

We are looking for a Senior or Lead Full Stack Engineer to build a multi-tenant platform supporting clinical operations and program delivery. Working in .NET, C#, React, and Azure, this person directs AI agents through planning and testing, verifying output rather than writing every line by hand. Strong technical judgment and comfort with agentic workflows are central here.

What you will do

  • Deliver production features across .NET, C#, React, TypeScript, and Azure using an agentic first engineering workflow.
  • Prioritize functional V1 delivery, assigned work, and UAT or demo readiness before optional optimization or tooling work.
  • Turn incomplete or changing product direction into a practical delivery plan and keep work moving without repeated resets.
  • Align early with stakeholder when requirements, priorities, or product references conflict.
  • Use Empower's required AI Skill consistently and route proposed workflow improvements without displacing committed delivery.
  • Direct AI agents through planning, implementation, testing, debugging, and validation.
  • Review and verify generated work rigorously rather than accepting agent output at face value.
  • Build and maintain backend services, APIs, and portal experiences across the platform.
  • Preserve security, auditability, tenant isolation, encryption, and least privilege access for protected health information.
  • Make blockers, decisions, delivery risks, and next outcomes visible to the team.

Must haves

  • 4+ years of experience working as a software engineer.
  • Recent production experience with .NET 8 or 9, C#, ASP.NET Core Web API, Entity Framework Core, and PostgreSQL.
  • Recent production experience with React and TypeScript in component based applications.
  • Strong Azure experience, including production deployment and operational ownership.
  • Proven use of Claude Code or equivalent agentic tools for meaningful end to end feature delivery, not only autocomplete or isolated prompting.
  • Ability to translate a product objective into executable agent work, coordinate multiple agents when useful, and verify generated output through builds, tests, runtime checks, and product behavior.
  • Ability to work within a client defined AI Skill and governance model while proposing bounded improvements through the agreed route.
  • Senior product judgment, comfort with changing requirements, and the ability to deliver functional V1 outcomes at a high pace.
  • Experience with multi tenant SaaS, service boundaries, automated testing, delivery pipelines, and production validation.
  • Strong communication, with early escalation of blockers and concise alignment on priorities and tradeoffs.
  • Reliable United States Eastern Time overlap for a full time engagement.
  • Ability to demonstrate the agentic workflow in a live AI coding exercise and explain tool selection, context management, failure handling, verification, and limitations.
  • Upper-intermediate English level.

Nice to haves

  • Python and FastAPI production experience.
  • Experience with AI service layers, RAG, vector stores, prompt evaluation, or document generation.
  • Healthcare, HIPAA, financial services, or another regulated data environment.
  • Azure Service Bus or another asynchronous and event driven messaging platform.
  • Terraform, Azure Entra ID, Azure DevOps, and enterprise identity patterns.
  • Experience with payer or Medicaid integrations, eligibility, prior authorization, or EDI 837 claims.
  • Experience with feature governance systems such as LaunchDarkly or PostHog.

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

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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.

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