{"id":843556,"url":"https://alion.io/job/ravenna-ai-engineer","title":"AI Engineer","company":{"id":689721,"name":"Ravenna","domain":"ravenna.ai","url":"https://alion.io/company/ravenna","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-30T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":160000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Edge AI","optional":false},{"name":"Embeddings","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Structured Outputs","optional":false}],"status":"live","first_seen_at":"2026-04-21T21:24:38Z","employer_posted_date":"2026-04-21","last_verified_at":"2026-10-01T02:42:12Z","board_verified":true,"closed_at":null,"days_open":162,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":161},"description":"About the Role\nAt Ravenna, we are looking for experienced engineers with a passion for AI and a strong track record of building and shipping production systems. Our team is combining the latest advances in large language models with proven machine learning techniques to build modern, intelligent product experiences.\nThis role requires strong engineering fundamentals and a deep curiosity about how AI systems work in practice. You will design, build, and operate LLM powered systems that are reliable, scalable, and deeply integrated into real product workflows.\nYou will work across the stack. This includes designing AI systems, building backend infrastructure, implementing product features, and iterating quickly based on evaluation and real user feedback. We care deeply about strong engineering practices and expect our AI engineers to think carefully about system design, observability, performance, and reliability.\nIf you are excited about applying cutting edge AI to disrupt large and established markets, we want to talk to you.\nResponsibilities\nBuild production AI systems\nDesign and implement systems that integrate LLMs into real product workflows. This includes prompt pipelines, tool integration, structured outputs, and systems that combine models with traditional software components.\nDesign reliable LLM architectures\nDevelop robust systems that account for model limitations and failure modes. Build safeguards, retries, evaluation loops, and observability into LLM powered features so they behave reliably in production.\nDevelop evaluation and experimentation frameworks\nCreate evaluation datasets and tooling that allow the team to measure model performance, iterate on system design, and prevent regressions as models and prompts evolve.\nBuild retrieval and knowledge systems\nDesign and optimize retrieval pipelines that power LLM applications. This includes chunking strategies, indexing approaches, vector search, and improving the quality and speed of knowledge retrieval.\nShip high quality product features\nCollaborate with product, design, and engineering teammates to build polished features that leverage AI in ways that feel natural and valuable to users.\nMaintain strong engineering standards\nWrite clean, maintainable, well tested code. Contribute to system architecture, code reviews, and engineering processes that ensure the platform remains reliable and scalable.\nAbout You\nStrong engineering fundamentals\nYou are a strong software engineer first. You have at least five years of experience building production systems and are comfortable designing complex systems that are reliable, maintainable, and scalable.\nYou think carefully about architecture, testing, observability, performance, and operational reliability.\nLLM systems experience\nYou have built systems around large language models in production environments. You understand that successful AI products require thoughtful system design, not just calling an API.\nYou have experience designing prompts, managing context, orchestrating tool usage, and improving the reliability of model outputs.\nEvaluation mindset\nYou care deeply about measuring quality. You have experience building evaluation frameworks, designing datasets, and using experiments to guide improvements to prompts, models, and system architecture.\nRetrieval and embedding systems\nYou have experience with retrieval augmented generation systems and understand how retrieval quality affects model performance.\nYou are comfortable working with embeddings, vector databases, and semantic search, and you understand how these approaches differ from traditional search and indexing systems.\nLLM fundamentals\nYou understand how modern language models work at a conceptual level and can speak about transformers, attention mechanisms, and the tradeoffs between different model architectures.\nAI system intuition\nYou understand the strengths and weaknesses of LLMs in practice. You think about hallucinations, prompt sensitivity, context limits, latency, and cost when designing systems.\nExperimentation and iteration\nYou are comfortable running experiments across prompts, models, and system designs. You use evaluation data and real world feedback to guide improvements.\nBenefits\nCompetitive Salary\nWe believe great people should be compensated well. While we are an early stage company, we offer competitive salaries and aim to pay top of market for exceptional talent.\n\nWe are building an ambitious company and know that attracting great people requires strong compensation.\n\nMeaningful Equity\nWe hire people who want to help build Ravenna from the ground up. Equity ensures that when the company succeeds, the people who helped build it share in that success.\n\nEarly team members have the opportunity to make a real impact on both the product and the future of the company.\n\nChoose Your Setup\nGreat work requires great tools. At Ravenna you can choose the hardware and setup that helps you do your best work.\n\nMost of the team uses high performance Mac laptops, but you have the flexibility to select the tools and environment that fit your workflow.\n\nFlexible Time Off\nDoing great work requires time to recharge. We offer flexible paid time off so you can take the time you need to rest and stay at your best.\n\nWe trust our team to manage their time responsibly while delivering meaningful results.","description_format":"text","description_chars":5361,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible time off"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Service & Asset Management","AI Agents"],"lifecycle":[{"event":"open","at":"2026-09-12T23:11:34Z"}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.182,"p_room":0.28,"age_days":161,"expected_fill_days":30,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-09-30T05:45:00Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":false},"html_url":"https://alion.io/job/ravenna-ai-engineer","json_url":"https://alion.io/job/ravenna-ai-engineer.json","meta":{"generated_at":"2026-10-01T04:36:00Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4014,"day_limit":5000,"remaining_today":986,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}