Junior AI Engineer

CENSUS

. Design, build, and ship LLM-based features and evaluations .

Posted 11/11/2026full-timeRemote • GreeceJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building LLM-based features, with a strong foundation in AI, Machine Learning, and Data Science. Proficient in Python programming, SQL, and Docker, with practical experience in developing and evaluating machine learning applications.

Highest-signal resume keywords

LLM Application DevelopmentPython ProgrammingMachine Learning FundamentalsGit Version ControlSQL Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI EngineeringMachine Learning EngineeringData Science EngineeringLLM Feature DevelopmentExperiment DesignCode ReviewPromptingRAG SystemsDataset BuildingEvaluation Metrics

Soft Skills

Independent WorkMentoring InternsEffective Communication

Tools & Technologies

GitDocker

Certifications & Qualifications

Bachelor's DegreeMaster's DegreePhD in Computer SciencePhD in AIPhD in Machine LearningPhD in Data Science

Industry Keywords

Security DataProduction AI SystemsPull RequestsCodebaseExperiment Interpretation

Tech Stack

Tools & technologies

DockerPythonSQL

About the role

Key responsibilities & impact

Design, build, and ship LLM-based features and evaluations
Own retrieval/RAG, agent, and tool-routing systems answering questions over real security data
Build datasets and fine-tune open models on security data
Measure results against baselines
Scope tickets with a mentor and support changes with before-and-after results
Review teammates' pull requests
Help guide interns
Grow toward owning larger parts of production AI systems

Requirements

What you’ll need

At least 1 year of hands-on experience in AI, Machine Learning or Data Science engineering; internships count, as do industry or research-lab work
At least one ML or LLM feature shipped to production or into a codebase used by others
Strong Python with readable, tested, reviewable code
Experience with Git, pull requests, and giving and receiving code review
Practical experience building and evaluating LLM applications, including prompting, RAG, or agents
Solid grasp of machine learning fundamentals and ability to design experiments and interpret results
Working knowledge of SQL and Docker
Ability to work independently on well-scoped tickets and raise blockers early
Good written English; non-English resumes will be rejected
Bachelor's, Master's, or PhD in Computer Science, AI, Machine Learning, Data Science, or a related field, or equivalent practical experience
Europe-based candidates are prioritised

Benefits

Comp & perks

Fully remote in Europe
Named AI-team mentor for the first months
Code review on every pull request
Clear path to AI Engineer as responsibilities grow