13 hours ago
Remote, EMEA or Athens, GreeceEntry Level
Responsibilities
- Design, build, and ship LLM-based features and the evaluations used to validate them.
- Develop retrieval-augmented generation, agent, and tool-routing systems over real security data.
- Build datasets, fine-tune open models, and compare results against baselines.
- Own scoped tickets end to end, documenting before-and-after results and iterating on production systems.
- Review teammates’ pull requests and help guide interns.
Requirements
- At least 1 year of hands-on experience in AI, machine learning, or data science engineering; internships, industry work, and research-lab work count.
- A track record of shipping at least one ML or LLM feature to production or into a codebase used by others.
- Strong Python skills and experience writing readable, tested, reviewable code.
- Experience with team codebases, Git, pull requests, and code review.
- Practical experience building and evaluating LLM applications using prompting, RAG, or agents.
- Solid machine learning fundamentals and the ability to design experiments and interpret results.
- Working knowledge of SQL and Docker.
- Ability to work independently on well-scoped work, communicate blockers early, and write effectively in English.
- Bachelor’s, Master’s, or PhD in Computer Science, AI, Machine Learning, Data Science, or a related field, or equivalent practical experience.
- Preferred experience includes LLM fine-tuning with LoRA, SFT, or DPO; evaluation sets; GPU training; model serving with vLLM; vector databases; cloud or Kubernetes; published papers; research; or security and cryptography.
Benefits
- Fully remote work in Europe.
- Named AI-team mentor during the first months and code review on every pull request.
- Clear progression path toward an AI Engineer role.
- Full-time permanent contract, stated as pending confirmation.
- Europe-based candidates are prioritized.
Tech Stack
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