[Hiring] Junior AI Engineer @CENSUS SA

Role Description

Have you already built AI systems that other people use, and do you want to own them end to end, from the first measurement to production? Do you want to apply your machine learning experience to security-relevant AI?

CENSUS Junior AI Engineer is your opportunity to join our AI team and own features in our production AI systems and products. You will build, evaluate, and ship LLM-powered features on security data, and help guide the interns on the team as you grow.

Why Join?

• Real Ownership: Own features in production AI systems end to end, from data and a first measurement through evaluation, deployment and iteration.
• Elite Team: Work alongside world-class AI and cybersecurity experts.
• Hands-on AI: High-impact work across LLM features, RAG and agent systems, evaluations, datasets, and fine-tuning.
• Mentorship: A named AI-team mentor for your first months, and code review on every pull request.
• Remote Work Model: Fully remote in Europe.
• Growth: A clear path to AI Engineer as you take on larger, less defined work.

What You'll Do

• Design, build and ship LLM-based features, together with the evaluations that prove they work.
• Own work on retrieval (RAG), agent and tool-routing systems that answer questions over real security data.
• Build datasets and fine-tune open models on security data, and measure the result against a baseline.
• Scope your own tickets with your mentor and back every change with before-and-after results.
• Review your teammates' pull requests and help guide our interns.

Qualifications

• At least 1 year of hands-on experience in AI, Machine Learning or Data Science engineering. Internships count, and so does industry or research-lab work.
• A track record of shipping: at least one ML or LLM feature that went into production or into a codebase other people used.
• Strong Python, with readable, tested code that others can review.
• Experience in a team codebase: Git, pull requests, and both giving and receiving code review.
• Practical experience building LLM applications (prompting, RAG or agents) and evaluating them, not only calling an API.
• A solid grasp of machine learning fundamentals, and the ability to design an experiment and read its results honestly.
• Working knowledge of SQL and Docker.
• The ability to work independently on a well-scoped ticket and to say early when you are stuck.
• Good written English (non-English resumes will be rejected), and the habit of backing claims with evidence.

Bonus Skills (Make Your Application Stand Out!)

• Fine-tuning LLMs (LoRA, SFT, DPO) or building evaluation sets.
• GPU training or model-serving experience (e.g. vLLM).
• Vector databases, cloud or Kubernetes experience.
• Published papers or research experience.
• Interest in security or cryptography (we will teach you the domain).

The Details

• Who Can Apply? Open to graduates (Bachelor's, Master's or PhD) in Computer Science, AI, Machine Learning, Data Science or related fields, or candidates with equivalent practical experience, with at least 1 year of hands-on experience, internships included.
• Europe-based candidates are prioritised.
• Location: Remote in Europe.
• Contract: Full-time.
• Career Path: Grow into an AI Engineer role as you take ownership of larger parts of our AI systems.