{"id":1919898,"url":"https://alion.io/job/svitla-systems-principal-ai-engineer","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":"A","score":86,"open_postings":7,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-13T05:45:00Z"}},"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":null,"hiring_geo_confidence":"inferred","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":134000,"max_usd":283000,"period":"year","method":"global_role_seniority_cell","sample_n":1041},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Context Engineering","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Mastra","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-05T15:09:33Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-13T23:52:56Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Svitla Systems Inc. is looking for a Principal AI engineer for a full-time position (40 hours per week), fully remote in Europe. Our client is a digital marketing company that offers email marketing, social media marketing, event marketing, and online survey tools to help organizations expand their businesses by fostering stronger customer relationships.\nThis is a hands-on Principal IC role. The client is looking for a technical lead for frontier AI who stays close to the code, brings strong product judgment, and raises the bar for agent systems, evals, harness engineering, and the way the client builds with AI. You will write code, prototype, debug production systems, and establish patterns that other engineers can build on. Currently, 15 AI engineers are organized into three squads.\nRequirements\n10+ years of software engineering experience, including significant technical leadership as a senior individual contributor.\nProven track record of shipping AI/LLM-powered products to production.\nDeep experience with agent architectures, orchestration, tool calling, and MCP interface design.\nHands-on experience with Mastra or similar agent/workflow frameworks.\nStrong understanding of workflow design and of when to use deterministic, agentic, or hybrid approaches.\nStrong understanding of context engineering: retrieval, memory, compaction, and long-running state.\nExperience with harness engineering: designing the context, tools, environments, and feedback loops that agents operate in.\nPractical experience building evals, regression tests, traces, and production-quality signals for AI systems.\nExperience building long-running, resumable systems that recover safely from failures.\nFamiliarity with AI safety and security concerns, such as permissions, tool authorization, human approval, and untrusted inputs.\nStrong backend and distributed systems experience, ideally with Python and/or TypeScript.\nStrong product sense: the ability to recognize what makes an AI experience useful, intuitive, and trustworthy.\nDemonstrated ability to use AI-native development tools and coding agents effectively.\nComfort with ambiguity, including investigating unfamiliar systems and unblocking yourself.\nStrong written and verbal communication across distributed teams and time zones.\nResponsibilities\nAct as the technical lead for frontier AI across the client's teams, staying current on models, agent architectures, tools, and emerging engineering practices.\nStay hands-on in the architecture and implementation of production AI systems.\nDesign and evolve the client's agent platform, including Mastra, workflows, tools/MCP, context and memory, retrieval, and durable execution.\nLead the approach to harness engineering, including context, instructions, tools, skills, guardrails, and feedback loops.\nEstablish a strong eval discipline across prompts, models, tools, workflows, and end-to-end customer outcomes.\nWork with Product and Design to shape useful AI experiences and quickly prototype ideas.\nBuild reusable AI platform capabilities that other engineering teams can adopt.\nDesign reliable agent systems that handle retries, partial failures, interruptions, and long-running work.\nMake thoughtful tradeoffs across model quality, latency, cost, safety, and reliability.\nRaise the technical bar through architecture, code reviews, mentoring, pairing, and hands-on implementation.\nCollaborate openly across teams and time zones through clear written proposals, ADRs, prototypes, and technical discussion.\nHelp evolve how the client builds software through AI-native engineering practices and coding 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