{"id":39670,"url":"https://alion.io/job/slashfinancial-applied-ai-engineer","title":"Applied AI Engineer","company":{"id":8759,"name":"Slash Financial","domain":"slashfinancial.com","url":"https://alion.io/company/slashfinancial","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":16,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":71,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"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":250000,"max":350000,"currency":"USD","period":"year","gross":null,"usd_annual":350000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Caching","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Slack","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"Vercel AI SDK","optional":false},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-05-28T06:44:09Z","employer_posted_date":"2026-05-28","last_verified_at":"2026-10-17T12:59:39Z","board_verified":true,"closed_at":null,"days_open":142,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":141},"description":"About Slash\nSlash is building the future of business banking, one industry at a time. We believe businesses deserve financial infrastructure tailored to how they actually operate. That's why we're creating a new category of business banking. We combine the reliability of traditional banking (high yields, competitive rewards, and comprehensive security) with industry-specific features that make businesses more efficient, more competitive, and more profitable.\nStarted in 2021, Slash is one of the fastest growing fintechs in the world and we power over ten billion dollars a year in business purchasing across numerous industries. We recently raised a $100M Series C led by Ribbit Capital with participation from Khosla Ventures, Goodwater Capital, NEA, and Y Combinator, accelerating our expansion into new markets and products.\nSlash is headquartered in San Francisco, and has a strong in-person culture.\nAbout the role\nSlash is building an AI-native financial platform, and we're forming Slash AI Labs, a small, high-leverage team responsible for bringing AI deeply into every surface of the product. We've already shipped Twin, our agent platform powered by a custom orchestration runtime, tool-calling over a structured ontology graph, MCP, and multi-surface delivery across web, Slack, and API. You'll be an early member of this team and helping incubate what comes next. If you want to build production AI systems at a fintech that's growing fast and ships constantly, this is the role.\nWhat you’ll do\nShip full-stack AI features end to end, from prompt engineering and agent orchestration to React UI and API integration\n\nBuild and extend our agent runtime: orchestration, tool execution, MCP servers, graph-based conversation state, and context compaction\n\nDesign and implement multi-surface agent experiences across web, Slack, and programmatic APIs\n\nBuild internal AI tooling and platforms, model evaluation frameworks, prompt management, and LLM observability tooling\n\nWork directly with Anthropic and OpenAI APIs, the Vercel AI SDK, and our custom orchestration layer to solve challenging problems in tool-calling, long-context management, and multi-step reasoning\n\nImprove and scale our AI infrastructure: inference routing, model tiering, prompt caching, and streaming architecture on AWS/EKS\n\nWe’re looking for someone who\nHas shipped full-stack AI products to production, not just prototypes, but systems that serve real users reliably\n\nIs proficient in TypeScript or modern web frameworks (React, Next.js, Node.js) with strong backend fundamentals\n\nHas hands-on experience with LLM APIs (Anthropic, OpenAI), with a strong grasp on tool-calling, structured output, and streaming\n\nCan build and iterate quickly, you're a builder who ships, not someone who over-plans\n\nHas experience with one or more of: agent orchestration, MCP, RAG, structured extraction, or model evaluation\n\nWhat's in it for You:\nOpportunity for high growth\n\nHigh autonomy + ownership culture\n\nComprehensive health + benefits plan\n\nWorking out of our downtown San Francisco office space\n\nUnlimited 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