{"id":726723,"url":"https://alion.io/job/rowspace-applied-ai-engineer-2","title":"Applied AI Engineer","company":{"id":686557,"name":"Rowspace","domain":"rowspace.ai","url":"https://alion.io/company/rowspace","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"D","score":48,"open_postings":16,"ghost_share":0.875,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"RAG","optional":false},{"name":"Python","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-02-04T23:09:16Z","employer_posted_date":"2026-02-04","last_verified_at":"2026-10-29T23:38:47Z","board_verified":true,"closed_at":null,"days_open":267,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":266},"description":"The Role\nAs an Applied AI Engineer, you'll bring the frontier of AI research and engineering to Rowspace, transforming how our platform understands and surfaces critical financial insights. In a typical week, you might build and productionize an agent in response to customer feedback, design evaluation frameworks for AI performance, and implement advanced retrieval systems to make the most of AI for finance workflows.\nWhat You'll Do\nImplement and adapt cutting-edge AI research to build systems that understand financial context and business concepts\n\nDesign retrieval pipelines that extract and synthesize insights from unstructured sources (PDFs, emails, presentations) with intelligent conflict resolution\n\nBuild agentic workflows that enable AI systems to reason about financial relationships, perform benchmarking, and conduct comparative analysis\n\nConstruct and maintain knowledge graphs that capture complex financial relationships, entity connections, and market dynamics\n\nCreate evaluation frameworks to measure and improve AI performance across investment research, due diligence, and portfolio monitoring tasks\n\nDesign and implement systems that maintain traceability from AI outputs to primary sources\n\nExperiment with the latest LLM orchestration patterns and context management techniques for financial use cases\n\nShape technical direction and best practices for AI application development at Rowspace\n\nIterate rapidly with direct customer input, continuously refining AI systems based on real-world usage and feedback\n\nDeploy and operate production systems end-to-end, with strong ownership over reliability, performance, and maintainability across the stack\n\nWhat You Have\n3+ years of experience in machine learning, AI research, or applied AI engineering\n\nStrong background in LLMs, RAG systems, and agentic AI workflows\n\nExperience designing evaluation frameworks and benchmarks for AI systems\n\nInterest or understanding of financial markets, investment processes, or quantitative finance (or strong interest in learning)\n\nExperience with retrieval systems, embeddings, and multi-modal data processing\n\nPublication record or demonstrated expertise in relevant AI research areas is a plus\n\nEntrepreneurial mindset with ability to translate cutting-edge research into practical business value\n\nExperience as a full-stack engineer is a plus (React/Typescript + Python/Node or similar)\n\nPerks & Benefits\nHealth & Wellness: Comprehensive medical, dental, and vision insurance\n\nFuture Planning: 401(k) plan including employer match on contributions made while employed by Rowspace\n\nFood & Fuel: Monthly commuter stipend, plus free daily lunch and a fully stocked snack bar in the office\n\nTeam Culture: Regular team offsites to bond and strategize away from the desk","description_format":"text","description_chars":2781,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Vision 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