Senior Fullstack Engineer - Agentic AI Platform

If you enjoy developing reliable software, have hands-on experience with LLMs or AI agents, and want to turn new AI capabilities into practical solutions, we would like to meet you.

You will join a team where you can contribute your ideas, influence technical decisions, and work closely with colleagues across engineering and product. Your work will focus on backend development, with opportunities to contribute to the frontend and shape how users interact with AI agents.

What will you do?

• Design and develop backend services, APIs, and integrations that connect AI agents with business systems and data.
• Build agent workflows that use LLMs, call tools, manage context, and carry out multi-step tasks.
• Integrate LLM providers and implement features such as structured outputs, document retrieval, and prompt management.
• Develop background processing and handle retries, timeouts, and errors to keep workflows reliable.
• Contribute to frontend features that let users configure agents, follow their progress, and review results.
• Improve application quality, performance, and operating costs through testing, monitoring, and evaluation.
• Implement authentication, access controls, and safeguards around data access and agent actions.
• Work with the team on architecture, code reviews, deployment, and translating business needs into working software.

Employee perks, benefits

• 6 extra days off: 3x localhost days and 3x sick days
• Referral bonus
• Benefit plus budget
• Financial contribution to Pension plan
• Multisport Card
• Education support (certificates, courses, trainings)
• Bonuses at every smashing life events
• Flexible working arrangements
• Transparent approach and communication
• Supporting your ideas‍

Requirements for the employee‍

Language skills: English - Upper intermediate (B2)

Number of years of experience in the position/sector: 5

Personality requirements and skills

• Strong Python or TypeScript/Node.js skills, with experience building backend services, APIs, and relational database integrations.
• Working knowledge of React, TypeScript, or a comparable frontend framework.
• Practical experience with LLM APIs, prompting, tool calling, and handling unreliable model outputs.
• Hands-on experience with Microsoft Azure cloud, along with experience using automated testing, Git, and CI/CD.
• A practical approach to problem-solving, clear communication, and ownership of your work.
• At least 1 year of hands-on development experience within LLM or agentic AI projects.

Top candidates will also have:

• Agent frameworks such as LangGraph or the OpenAI Agents SDK.
• Retrieval-augmented generation (RAG), embeddings, and vector search.
• Asynchronous processing, workflow orchestration, and container deployments on Microsoft Azure.
• LLM evaluation, tracing, and safeguards around agent actions.