{"id":37664,"url":"https://alion.io/job/alma-product-engineer-ai","title":"Product Engineer - AI","company":{"id":2268318,"name":"Alma Immigration","domain":"tryalma.com","url":"https://alion.io/company/tryalma","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":81,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, 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":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Braintrust","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Hybrid Search","optional":true},{"name":"JavaScript","optional":true},{"name":"Knowledge Distillation","optional":true},{"name":"LangSmith","optional":true},{"name":"Model Distillation","optional":true},{"name":"Reranking","optional":true},{"name":"RLHF","optional":true},{"name":"Supabase","optional":true}],"status":"live","first_seen_at":"2026-06-25T02:14:53Z","employer_posted_date":"2026-06-25","last_verified_at":"2026-10-17T12:41:43Z","board_verified":true,"closed_at":null,"days_open":114,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":114},"description":"Alma is an AI-native law firm. We combine AI with an exceptional legal team to deliver fast, transparent, and high-touch legal services at a fraction of the cost and speed of legacy firms. Our first market is immigration law. We're focused on simplifying complex immigration processes for companies and individuals, and disrupting the $15B market that has never seen an amazing product.\nWe are backed by leading VCs such as Bling Capital, Forerunner, Village Global, NFX, Conviction, MVP Ventures, NEA and Silkroad Innovation Hub.\nFounding Team\nThe founding team has an extensive background in the legal industry, consulting, and building ML platforms.\nShuo - CTO & Cofounder: Shuo built the ML Platform (Michelangelo) at Uber for 5+ years after which he was the head of AI & ML team at a SupportLogic (a series B startup using predictive & generative AI for customer support).\n\nAizada - CEO & Cofounder: Aizada is a graduate of Harvard Law School, an attorney with 7+ years of experience including working at a top law firm such as Cooley and an ex-McKinsey consultant.\n\nWhat we're looking for\nWe're hiring a Product Engineer (AI) - an engineer who lives at the intersection of AI systems and user-facing product. You'll own features end-to-end, from designing agentic pipelines and RAG architectures to building the React interface the user interacts with. Your north star is the product: you measure your work by whether it makes customers' lives better, not by model benchmarks in isolation. You'll work directly with the founding team and early customers to ship a world-class AI-powered immigration platform and help us scale by 100x.\nYou need to be deeply customer-obsessed. At Alma, \"customer\" means two groups. The first is our external customers - companies and individuals navigating immigration under high-stakes circumstances. The second is our internal legal team - attorneys and paralegals who use our platform every day. If an AI-generated document hallucinates a citation, that's not an ML problem - it's a customer problem. If an agent workflow saves a paralegal two hours a day, that's a feature worth shipping yesterday. The best engineers we'll hire will sit with the legal team, watch how they interact with our AI tools, and obsess over closing the gap between what the model produces and what the attorney actually needs.\nAt Alma, the engineer who designs the agent also builds the UI that exposes it. You should be the kind of engineer who can design a multi-step agentic pipeline in the morning, debug a prompt regression after lunch, and wire up the frontend that lets a user review the output before dinner. With modern AI tooling, the traditional excuse of \"frontend isn't my strength\" no longer holds.\nYou also need to build with AI, not just build AI. You should already be living inside modern coding harnesses (Claude Code, Codex, Cursor, etc.), wiring up MCP servers to extend your own workflow, and treating agents as a core part of how you ship. If your instinct is \"let me spin up an agent to scaffold this, then review and harden it,\" keep reading.\nYou see problems as work to do, not things to complain about. We move fast - our codebase has rough edges, our processes are still being invented, and not every corner is beautiful yet. We want engineers whose instinct, when they hit a messy module or a flaky eval, is \"I'll fix it\" - not \"who wrote this?\" If you're the kind of engineer who quietly improves the codebase around every feature you ship, you'll thrive here.\nResponsibilities\nWork closely with the founding team and early customers to build a world-class AI-powered product.\n\nOwn AI-powered features end-to-end - design the agentic pipelines and LLM integrations, build the backend services that orchestrate them, create the frontend that exposes them, and ship to production.\n\nDesign, build, and iterate on RAG pipelines, agentic workflows, prompt chains, and evaluation frameworks that power our core product.\n\nDevelop and maintain robust evaluation and observability systems - you'll define how we measure whether our AI outputs are actually good, and build the tooling to catch regressions before customers do.\n\nPartner with our designer and product team to translate user needs into shipped AI-powered experiences - not just APIs or model outputs that \"someone else will integrate later.\"\n\nOperate as a force multiplier with AI tooling - use coding agents to move 5-10x faster than traditional engineers without sacrificing quality, and continuously evolve how our team builds, reviews, and tests software.\n\nEngage in the entire application lifecycle with a high bar for coding, debugging, testing, and deploying.\n\nRole Requirements\n2+ years of experience building production AI/LLM-powered features - not research prototypes, but systems that real users depend on. You've dealt with hallucination mitigation, latency constraints, cost optimization, and the messy reality of shipping AI to production.\n\nStrong fundamentals in RAG architectures, prompt engineering, agentic frameworks, and LLM orchestration (e.g., multi-step chains, tool use, structured output extraction).\n\nExperience designing evaluation and quality systems for AI outputs - you've built evals, human-in-the-loop review flows, or regression detection pipelines, and you have opinions about what \"good enough\" means for production AI.\n\nProficient in Python, FastAPI, PostgreSQL, containerization and scaling microservices.\n\nComfortable in (or excited to ramp on) TypeScript, React, and modern frontend tooling. You don't need to be a CSS wizard on day one, but you need to be the kind of engineer who'll learn React deeply rather than punt it to someone else.\n\nDaily, hands-on use of modern coding harnesses (Claude Code, Codex, Cursor, or equivalent) - not as autocomplete, but as a primary way of shipping production code.\n\nComfortable building and consuming MCP servers to integrate internal tools, data, and workflows into your dev loop.\n\nStrong point of view on AI-assisted code review, automated testing, and how to keep quality high when shipping at agent speed.\n\nEnjoy working in a fast-paced environment & wear multiple hats - including ones outside your historical comfort zone.\n\nAbility to seek & find the right resources for solving open-ended problems.\n\nLocated in the San Francisco Bay Area or willing to relocate.\n\nBS/MS in Computer Science, Engineering, or a related technical field.\n\n⭐ Nice-to-haves\nExperience working in a small startup environment (Seed or Series A).\n\nDeep understanding of transformer architectures, attention mechanisms, and GPU inference - you can reason about why a model behaves the way it does, not just prompt around it.\n\nExperience with fine-tuning, RLHF, or distillation workflows.\n\nExperience with vector databases, embedding models, and retrieval optimization (hybrid search, reranking, chunking strategies).\n\nFamiliarity with AI observability and tracing tools (LangSmith, Braintrust, or similar).\n\nExperience with AWS (Bedrock, SageMaker, or similar managed AI infra), Supabase, LaunchDarkly & Betterstack.\n\nBuilt your own MCP servers, custom agents, or internal AI dev tooling.\n\nPublished, blogged, or shared opinions about modern AI-assisted development workflows.\n\nGenuine full-stack experience - comfortable across backend, frontend, and infra.\n\nBenefits & Perks\nHyper-competitive base salary range based on experience\n\n100% Health coverage + Vision + Dental\n\n20 days PTO + 10 Federal Holidays\n\n$250 per month in wellness allowance","description_format":"text","description_chars":7508,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","Events & Ticketing","Professional Services","Legal Services"],"lifecycle":[{"event":"open","at":"2026-06-25T02:14:53Z"},{"event":"close","at":"2026-10-11T22:45:02Z"},{"event":"reopen","at":"2026-10-14T19:10:25Z"}],"visa":[],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.599,"p_room":0.44,"age_days":114,"expected_fill_days":81,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/alma-product-engineer-ai","json_url":"https://alion.io/job/alma-product-engineer-ai.json","meta":{"generated_at":"2026-10-17T15:08:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":20406,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2268318},"rest":"https://alion.io/mcp/rest/get_company?id=2268318"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Falma-product-engineer-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Falma-product-engineer-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Falma-product-engineer-ai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/alma-product-engineer-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Falma-product-engineer-ai"}]}