Senior Fullstack Engineer (AI-assisted coding)

Please Note:

• Overlap with Central US Time required (until 20-21:00 CEST)

We are a health technology company that helps older people and their families apply for important eldercare benefits, including Medicaid, Medicare, and VA programs. We work with healthcare, government systems, and people’s daily lives, so accuracy, reliability, and trust are very important.

As the number of patients grows from hundreds to thousands, manual work is no longer enough. We are building AI-powered systems to automate routine tasks while keeping people involved for quality checks, difficult cases, and patient safety. Our goal is to make healthcare operations more scalable without losing the human connection.

The Role

We are looking for a Senior Software Engineer to lead the design and development of systems that combine AI automation with human workflows. This is an important role close to the core business. It is a fully hands-on position with no management duties or direct reports.

You will not only build features, but also design systems, define best practices, and guide technical decisions as we grow. You should feel comfortable solving unclear problems, working closely with operations and product teams, and making smart decisions in a regulated environment.

This role is a good fit for someone who enjoys system design, building reliable infrastructure, and taking ownership of their work.

What You’ll Work On

• Designing workflow and orchestration systems for complex operations.

• Creating AI automations that handle routine tasks safely and send difficult cases to humans.

• Building systems where AI supports human work before, during, and after tasks.

• Managing long-running workflows that can last days or weeks.

• Connecting with external systems such as EVV platforms, insurers, government portals, and older messaging tools.

• Designing confidence scoring, auditing, and rollback systems for AI processes.

• Improving system reliability, monitoring, and error handling in production.

Responsibilities

• Lead the technical design and development of scalable backend systems.

• Make and document architecture decisions with clear trade-offs.

• Create patterns for collaboration between AI systems and human workers.

• Work closely with operations teams to understand real-world issues and edge cases.

• Make sure systems are observable, auditable, and safe to run at scale.

• Identify technical risks early and suggest solutions.

• Maintain high standards for code quality, testing, and system design.

• Share knowledge and help improve the team’s technical standards through reviews and collaboration.

What We’re Looking For

Required

• 6+ years of experience building and maintaining production software systems.

• Strong experience designing and owning complex backend systems.

• Strong backend engineering skills (we use TypeScript and Node.js, but other languages are welcome).

• Experience with asynchronous, event-driven, or workflow-based distributed systems.

• Ability to work with a daily 4–5 hour overlap with the US team (until 20:00 or 21:00 Polish time).

• Comfortable working with unclear problems and incomplete information.

• Strong spoken and written English communication skills.

• Self-motivated with a strong sense of ownership and responsibility.

• Experience working with AI or LLM-based systems and process automation, such as using Anthropic’s API (Claude) or similar tools in business workflows.

Nice to Have

• Experience in healthtech or other regulated industries.

• Knowledge of HIPAA and healthcare data privacy and security rules.

• Experience building systems with strict compliance or audit requirements.

• Experience with human review workflows.

• Experience integrating with unstable or legacy third-party APIs.

• Master’s or PhD in Computer Science, Engineering, or a related field.

How We Work

• Remote-first company.

• Small, experienced teams with high trust and independence.

• Strong focus on system accuracy, reliability, and long-term maintenance.

• Practical and thoughtful use of AI, both for internal development and within our product.

• Direct connection to real users and operational impact.