{"id":1234451,"url":"https://alion.io/job/goodfin-ai-engineer","title":"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":"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"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-09-25T16:03:15Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-01T11:39:58Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"About Goodfin\nGoodfin is an AI-native investment platform giving accredited investors access to pre-IPO and alternative assets - with intelligent systems that don’t just surface data, but reason, act, and iterate.\nWe’re building agentic AI that can analyze complex financial inputs, orchestrate multi-step workflows, and continuously improve through feedback. This is not a research lab or a slow enterprise environment. We move fast, ship constantly, and expect engineers to think like builders and product owners.\nRole Overview\nAs an AI Engineer, you’ll help build and ship agentic AI systems that sit at the core of the Goodfin product. You won’t be handed perfectly scoped tickets - you’ll help define what should be built, how it should behave, and why it matters to users.\nThis role is for engineers who:\nCare deeply about product outcomes, not just models\nTake ownership end-to-end\nThrive in high-expectation, high-autonomy environments\nWant to work on AI systems that actually run in production and make decisions.\nYou’ll work closely with our entire team, but you’re expected to operate independently, move fast, and push ideas forward.\nYou’ll be a key contributor to building robust AI systems, RAG workflows, and scalable backend services that make Goodfin’s intelligent features reliable and impactful in real-world settings.\nWhat You’ll Do\nBuild and iterate on agentic AI workflows that reason across data, tools, and actions.\nDesign and implement LLM-powered systems that go beyond single prompts (multi-step planning, tool use, memory, feedback loops).\nShip production-grade AI features - not demos - that real users rely on.\nOwn meaningful parts of the product lifecycle: idea → design → build → launch → iterate.\nPartner directly with product and design to shape how AI features behave in the real world.\nImplement and improve RAG pipelines, evaluations, and reliability mechanisms.\nMonitor live AI systems, debug failures, and continuously raise quality.\nMove quickly with imperfect information - making good tradeoffs instead of waiting for perfect specs.\nStay current with recent AI/ML tools and frameworks - particularly around LLM ecosystems and agent frameworks. \nWho You Are\nRequired Qualifications\n3 or more years of professional experience in software or AI engineering.\nStrong hands-on coding experience in Python and backend systems.\nPractical familiarity with modern AI/ML tools - working with LLM APIs (e.g., OpenAI, Claude) and ML libraries.\nExperience integrating models or AI systems into production applications.\nExperience with vector stores, indexing, or retrieval systems.\nFamiliarity with frameworks like LangChain, AutoGen, or similar agent tools.\nExposure to cloud environments (AWS, GCP) and CI/CD pipelines.\nComfortable writing maintainable, scalable code and collaborating with backend and full-stack engineers.\nStrong communication skills and team mindset. \nPreferred (Nice-to-Have)\nExperience with evaluation tooling or building quality metrics for generative systems.\nEnjoy writing or creating content around AI and what we are building at Goodfin.\nLove for consumer or investing apps.\nPrevious experience working at a fintech or in another regulated domain.\nWhy Join Goodfin\nWork on real AI engineering problems - not research prototypes - that impact a live fintech product. \nBuild with a small, mission-driven team with direct access to founders.\nCompetitive compensation with significant equity participation in a fast-growing early-stage startup.","description_format":"text","description_chars":3497,"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":["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":85,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.849,"p_room":1,"age_days":5,"expected_fill_days":26,"reasons":["conf:7","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":180000,"is_top_pay":false},"html_url":"https://alion.io/job/goodfin-ai-engineer","json_url":"https://alion.io/job/goodfin-ai-engineer.json","meta":{"generated_at":"2026-10-01T18:23:14Z","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":708,"day_limit":5000,"remaining_today":4292,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}