About Docplanner
We help people find and book the right healthcare professional at the right time.
Welcome to the good side of tech π
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 toΒ leave and read reviews about their visit. We then provided doctors with the technology toΒ 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 inΒ 13 countriesΒ so far, and more thanΒ 90 million patientsΒ trust us every month.Β 300.000+ specialistsΒ believe in us and our product, and so doΒ leading venture capital fundsΒ 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?
AtΒ Docplanner TechΒ 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 ourΒ reviews on GlassdoorΒ speak for themselves. In case youβd like to see how it feels to be 100% yourself at work,Β hereβs a video of us.Β
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 bedΒ 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 . Weβre 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.
Area of Work
Weβre laying the groundwork forΒ the future of AI at Docplannerβscalable systems, multi-agent architecture, MCP servers and seamless integration into our products. Weβre looking for aΒ Senior Software EngineerΒ 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 βThe Magnificent Sevenβ.
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.Β
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 youβll 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
Youβre likely a great fit for this role if you
Strong software engineering background (Python preferred; C#, PHP 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 engineering best practices (REST, SOLID, GRASP, GIT, CI/CD, DDD, TDD, Clean, Agile, etc)
Familiarity with data pipelines, model orchestration, and prompt engineering
Growth mindset and comfort in a fast-changing environment
English fluency (B2+)
Nice to have
Experience with AI/ML tools (LangChain, LlamaIndex, etc.)
Knowledge of RAG pipelines and MLOps practices
Cloud platform expertise (GCP, AWS, Azure)
Exposure to other OOP stacks (.NET, PHP)
Β Nobody ticks all those boxes above, but willingness to learn is strongly valued here!
Compensation structure
True flexibility and work-life balance
Health comes firstΒ
Keep growing with us
Free English classes.
We promote and embrace equal opportunities in our hiring process, and also every day at work. When you apply for our roles you receive equal treatment regardless of age, disabilities, gender reassignment, marital or civil partner status, pregnancy or parental status, race, color, nationality, ethnic or national origin, religion or belief, sex, sexual orientation or any other dimension of human difference. If you require additional support in your recruitment process, we kindly encourage you to let us know. Behind those words youβre reading, thereβs a person (hi!) who already helped a candidate by adapting the interviews, and now weβre lucky to have this person with us. So, even if youβve never asked for it before, may this serve as a sign that, now, you can do so. We can only truly be equal if we adapt to each other.
βWe believe all humans, in all their beautiful diversity, should have equal rights, dignity and respect. Period.β Mariusz Gralewski, CEO
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory βΊ
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