Senior Backend Engineer, AI Platform (100% remote-friendly within Poland)

Company Description

Welcome to the good side of tech 👋

You might have heard about us, but with a different name: Znanylekarz. It all started 10 years ago when we asked ourselves: is anyone in healthcare thinking about patients? We jumped in and we empowered patients by giving them access to leave and read reviews about their visit. We then provided doctors with the technology to manage bookings easily and save time, so they could devote themselves to what they always wanted: treating patients. And today is the day in which we ask you: wanna join us in the next step of making the healthcare experience more human?

Docplanner at scale

We are leaders in 13 countries so far, and more than 90 million patients trust us every month. 300.000+ specialists believe in us and our product, and so do leading venture capital funds such as Point Nine Capital, Goldman Sachs Asset Management and One Peak Partners. And yet, employing over 2.500 people all over the globe, we managed to keep the startup-mindset we started with over 10 years ago.

How does Docplanner Tech fit here?

At Docplanner Tech we are a diverse group of over 400 people working in Engineering, Data, and Product teams. We are responsible for building the product for all locations. Many of us have been here for over 5 years, yet we still welcome each new person with great joy and excitement.

We could tell you about us, but we will let our reviews on Glassdoor speak for themselves. In case you’d like to see how it feels to be 100% yourself at work, here’s a video of us. 

And why should you join us?

Because it feels good to tell your family and your friends how you made the world a little bit better. You go to bed knowing that what you do matters, and that your talents align with your beliefs.

We want to make the healthcare experience more human, and that starts with you being you. We believe that taking the diversity of human experience into account makes a better healthcare experience for all . We’re not just different: we embrace diversity. We will encourage you to come to work your whole self, and that includes not coming to the office at all if you prefer not to, as we're 100% remote-friendly.

Job Description

Area of Work

We’re laying the groundwork for the future of AI at Docplanner—scalable systems, multi-agent architecture, MCP servers and seamless integration into our products. We’re looking for a Senior Software Engineer with a strong Software Engineering background and AI Engineering experience to join our team.

The AI Platform team is a part of the Internal Platform area and nowadays consists of 2 Platform Engineers and 2 Software Engineers. As AI needs are growing, we are intensely growing that team to be “The Magnificent Seven”.

The team is accountable for 2 main objectives:

• Designing, building and maintaining the company's AI infrastructure. Ensuring high availability, scalability, security and cost efficiency. 

• Adopt new technologies like MCP and A2A

What are the challenges in the team?

• Dynamic environment with rapid changes. Both AI technology and business around it are changing super fast, and we need to keep up with our goals. For example, OpenAI announcing Apps SDK changed our quarter goals

• Working with different technologies. Main backend technologies are C# and .NET , but for many AI projects we are using Python. And all of that connected with big distributed system with multiple services

What you’ll do

• Design and implement scalable systems for AI Agents, MCP, and emerging architectures

• Adopt new technologies coming up with AI

• Build internal tools that empower product teams across Docplanner

• Ensure reliability, security, and cost efficiency of AI infrastructure

• Work cross-functionally to accelerate AI adoption in our products

Qualifications

You’re likely a great fit for this role if you

• Strong software engineering background (Python + C#, PHP, or Java experience a plus)

• Exposure to distributed systems and managing services at scale

• Experience building or deploying ML/LLM solutions (e.g., fine-tuning, RAG pipelines, model evaluation, production APIs)

• Understanding of software architecture and engi