{"id":3447834,"url":"https://alion.io/job/svitla-systems-principal-ai-engineer-2","title":"Principal AI engineer","company":{"id":2216,"name":"Svitla Systems","domain":"svitla.com","url":"https://alion.io/company/svitla-systems","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":78,"open_postings":8,"ghost_share":0,"stale_share":0.875,"repost_share":0,"time_to_fill_p50_days":43,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":{"label":"CET","utc_offset_min":1,"utc_offset_max":1},"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["DE","FR","GB","AT","BE","BG","HR","CZ","DK","FI","HU","IE","IT","NL","NO","PL","RO","ES","SE","CH","EE","GR","IS","LV","LI","LT","LU","MT","PT","SK","SI"],"hiring_countries_total":31,"salary":null,"salary_estimate":{"min_usd":129000,"max_usd":286000,"period":"year","method":"global_role_seniority_cell","sample_n":1286},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Playwright","optional":false}],"status":"live","first_seen_at":"2026-10-29T09:15:46Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-31T05:15:41Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Svitla Systems Inc. is looking for a Principal AI Engineer for a full-time position (40 hours per week) on a short-term basis in Europe. Our client is a venture-backed Physical AI company building a proprietary foundation model that fuses data from multiple sensors to understand and reason about real-world environments in real time. Its platform lets enterprises in manufacturing, energy, semiconductors, and other industries deploy ready-made AI agents in the cloud or at the edge for asset reliability, process optimization, and task verification. Developers can build and adapt these agents using natural language, APIs, or a no-code toolkit.\nA Principal-level engineer will lead their development team’s move to AI-assisted development. You will own the transition from first assessment to independent operation, teaching the team to work effectively with AI coding tools and agents while contributing code yourself. 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LLM-related work at a major AI or hardware company.\nExperience managing or leading multiple projects at once.\nFamiliarity with cloud platforms and AI-assisted test generation (e.g., Playwright tests).\nResponsibilities\nAssess the team’s current development workflow and identify where AI tools and coding agents add the most value.\nDesign and roll out the processes the team needs to work with AI effectively: how work is planned, delegated to agents, reviewed, and merged.\nTrain developers hands-on through pairing, workshops, and day-to-day guidance on real project work.\nDefine team practices and guardrails for AI-assisted coding, including code review standards, quality checks, and when not to rely on AI.\nSelect, configure, and integrate AI development tooling suited to the client’s stack.\nWork as a hands-on engineer, contributing code and leading by example.\nCoordinate with the QA engineer so AI coding agents are also used to build out the test suite.\nDocument processes and 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