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 Backend 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
You’re likely a great fit for this role if you
Strong software engineering background (Python + C#, PHP, or Java experience)
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)
Nobody ticks all those boxes above, but willingness to learn is strongly valued here!
Compensation structure
True flexibility and work-life balance
Health comes first
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 you’re reading, there’s a person (hi!) who already helped a candidate by adapting the interviews, and now we’re lucky to have this person with us. So, even if you’ve 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.
“We believe all humans, in all their beautiful diversity, should have equal rights, dignity and respect. Period.” Mariusz Gralewski, CEO