AI Engineer

About the role:
We are looking for an AI Engineer who is passionate about building real-world products rather than focusing solely on research or model training. This is a builder’s role for someone who can rapidly prototype and validate ideas, work with modern LLM frameworks, and develop in-house solutions when off-the-shelf tools are not sufficient.

Core Responsibilities:

• Designing and developing applications based on Large Language Models (LLMs).
• Building and implementing multi-agent systems.
• Using and extending modern AI frameworks (LangChain, CrewAI, etc.).
• Innovating and creating custom tools and patterns when needed.

• Working as a generalist with a strong understanding of the current AI landscape.

   

Requirements:

• Python as the primary programming language.
• Deep understanding of LLM application architecture and multi-agent systems.
• Hands-on experience with agentic frameworks (LangChain, CrewAI, etc.).
• Strong problem-solving and critical thinking skills.
• Familiarity with the stack: Postgres with PG vector, S3, AWS.

Nice to have:

• Experience with LLM fine-tuning (not required, as ML Engineers on the team handle this).

Ideal Candidate Profile:

• Autonomous and responsible, able to work with minimal supervision.
• Excellent communicator — able to clearly explain decisions and participate in technical discussions.
• Critical thinker who makes sound technical choices.
• Team player in a fully remote, international team (Europe + US EST).
• Has a builder mentality — enjoys writing code more than attending meetings.

What we offer

• Work on cutting-edge AI products using LLMs and multi-agent systems.
• Join an international team with colleagues across Europe and the US.
• Fully remote work with flexible hours.
• The ability to influence architecture decisions and bring your own ideas.
• A culture that values initiative and builder mentality — more coding, fewer meetings.
• Transparent and efficient hiring process (4 steps).

Hiring Process

1. Intro call with recruiter (up to 30 min) — basic screening.
2. Live Technical Challenge (1 hour) — live coding with a proctor. Google allowed, no AI assistants. Straightforward for an experienced AI Engineer.
3. Interview with Head of AI (30 min) — focus on culture, work style, and expectations.
4. Final Team Interview (1–2 hours) — collaborative problem-solving session. Focus on reasoning, decision-making, and teamwork.