{"id":1234450,"url":"https://alion.io/job/goodfin-staff-ai-engineer","title":"Staff AI Engineer","company":{"id":1813866,"name":"Goodfin","domain":"goodfin.com","url":"https://alion.io/company/goodfin-com","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","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"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-09-25T16:03:15Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-28T21:29:30Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Goodfin\nGoodfin is an AI-native wealth platform focused on private markets. We’re building intelligent, agentic systems that help accredited investors research, evaluate, and act on private investment opportunities with clarity and confidence.\nThis is not an AI “feature.” AI is the product.\nAs a Staff AI Engineer, you’ll be a technical leader responsible for designing, building, and hardening the core intelligence systems behind Goodfin-systems used by real investors making real financial decisions.\nThis is a hands-on role for someone who wants to work at the boundary of what’s reliable in applied AI-and make it production-grade. You’ll own end-to-end systems: from architecture and modeling decisions through deployment, evaluation, and iteration. You’ll also help define technical standards and shape how we build AI as a company.\nWhat You’ll Work On\nArchitecting LLM-powered, agentic systems for private market research, analysis, and decision support\nDesigning hybrid reasoning pipelines that combine LLMs with retrieval, structured financial data, rules, and tools\nBuilding robust RAG pipelines over unstructured, noisy, and proprietary data (PPMs, decks, filings, internal memos)\nDeveloping evaluation frameworks for reasoning quality, faithfulness, latency, and cost\nImplementing observability, debugging, and failure-handling for multi-step AI workflows\nPartnering closely with business and design to translate ambiguous user needs into reliable intelligent behavior\nRaising the bar on AI engineering practices across the team through example and mentorship\n**Concrete Example\n**Build an AI deep research analyst that can synthesize deal documents, market data, news articles, and comparable deals into actionable, well-sourced insights-while surfacing nuances rather than hiding it.\nWhy This Is Hard\nProduct intuition matters: We’re building a sticky, high-value product for real investors-not a demo or internal research tool.\n\nHigh-stakes domain: Private market investing requires accuracy, explainability, and calibrated uncertainty. “Mostly right” is not acceptable.\n\nData complexity: There is no clean source of truth. Data is fragmented, sparse, and often contradictory.\n\nReasoning over generation: The challenge is building systems that reason, compare tradeoffs, and surface uncertainty-not just generate fluent text.\n\nAgent reliability: Multi-step, tool-using agents must behave consistently in production, not just in demos.\n\nEvaluation is unsolved: You’ll help define what “good” looks like when traditional ML metrics fall short.\n\nTrust as a system property: Explainability, sourcing, and failure modes are core technical requirements-not UX afterthoughts.\n\nWhat We’re Looking For\n6+ years of software engineering experience, with deep hands-on work in applied AI / ML systems\nStrong fundamentals in Python and backend system design\nProven experience with LLMs (prompting, fine-tuning, RAG, agentic workflows, or evaluation tooling)\nExperience owning ambiguous, high-impact systems from concept to production\nComfort making architectural tradeoffs under real-world constraints\nAbility to think at the system level while still shipping high-quality code\nHigh product intuition and a strong sense of responsibility for user outcomes\nBonus\nExperience in fintech, data-intensive products, or regulated environments\nHow We Work\nSmall, lean team with high ownership and minimal bureaucracy\nDirect access to users and fast feedback loops\nStrong bias toward clarity, correctness, and speed\nHigh standards for technical rigor where trust matters\nWhat Success Looks Like\nAI systems that customers trust and rely on-not just experiment with\nMeasurable improvements in reasoning quality, reliability, and latency\nClear architectural patterns that scale with product complexity\nA higher technical bar across the team through example and mentorship\nWhy Join\nWork on real, unsolved AI engineering problems in production\nDevelop systems used for real financial decision-making\nBuild the technical foundation of an AI-native platform at an early but high growth stage\nCompetitive compensation and meaningful equity\nIf you’re excited about building serious AI systems-and want real ownership-we’d love to talk.","description_format":"text","description_chars":4227,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial AI","Investing Apps & Robo-Advisors"],"lifecycle":[{"event":"open","at":"2026-09-25T16:03:15Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":14,"reasons":["conf:3","win:early"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/goodfin-staff-ai-engineer","json_url":"https://alion.io/job/goodfin-staff-ai-engineer.json","meta":{"generated_at":"2026-09-29T01:04:33Z","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":846,"day_limit":5000,"remaining_today":4154,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}