AI Engineer

About us:

Our mission is to supercharge IT enterprise organizations with custom AI solutions. Headquartered in the heart of Munich with a hub in Lisbon, we’re a team of builders, dreamers, and problem-solvers tackling some of the most exciting and complex challenges in AI native development adoption.

We operate on speed , adaptability , and extreme ownership . That means we move fast, stay flexible, and take full responsibility for our impact. Our clients trust us because we don’t ship generic tools — we embed AI into real-world enterprise workflows with precision and empathy.

What You’ll Do:

As a AI Engineer, you’ll work alongside experienced engineers and researchers to design and implement intelligent systems that act , plan , and learn in enterprise environments. You’ll contribute to building agentic workflows — autonomous or semi-autonomous AI agents that complete real-world tasks by coordinating tools, APIs, and reasoning steps.

• Collaborate with the team to prototype and build agentic systems powered by LLMs and retrieval-augmented generation (RAG).

• Help design agents that can interact with enterprise tools (Jira, Notion, internal APIs, etc.) to solve specific user problems.

• Implement tools and frameworks to chain LLM calls, maintain memory/state, and handle multi-turn interactions.

• Support training, fine-tuning, and evaluation of LLMs on internal and client datasets.

• Write production-ready code and contribute to robust backend systems that support real-time AI workflows.

• Document your experiments, communicate tradeoffs, and be involved in making technical decisions.

What We’re Looking For:

We don’t expect you to know everything — but we do expect you to learn fast and be ready to get your hands dirty.

Must-Haves:

• Solid programming skills in Python or similar and experience working with LLMs (OpenAI, Hugging Face, etc.).

• Familiarity with tools for orchestrating LLM chains or agents (LangChain, CrewAI, AutoGen, or similar).

• Curiosity and understanding of how agents can interact with tools and external APIs to complete multi-step tasks.

• Comfortable working with JSON, APIs, and task orchestration logic.

• A startup mindset — eager to experiment, build, and iterate quickly in uncertain environments.

Nice-to-Haves:

• Experience with vector databases (like Weaviate, Pinecone, or FAISS) or RAG pipelines.

• Exposure to prompt engineering and function calling with modern LLM APIs.

• Experience deploying backend services (FastAPI, Flask) or using Docker.

• Side projects, GitHub contributions, or open-source involvement in the AI space.

Why Join Us:

• Work at the bleeding edge of AI applied to real enterprise use cases.

• Be part of a small, fast-moving team where your voice matters.

• Get mentorship from world-class engineers and researchers.

• Shape the future of AI-native software inside real organizations.

• We value ownership — you’ll be trusted to run with your ideas and drive impact.

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