{"id":3835002,"url":"https://alion.io/job/spin-m1-ai-engineering-lead","title":"M1 - AI Engineering Lead","company":{"id":1811024,"name":"Spin","domain":"spin.app","url":"https://alion.io/company/spin-app","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":6,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"FinOps","optional":false},{"name":"Gemini","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenAI","optional":false}],"status":"live","first_seen_at":"2026-11-05T16:33:35Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-08T08:38:45Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Objective\nWe are seeking an AI Engineering Lead to join our AI Products Chapter and lead a team of AI Engineers that builds, deploys, and operates production-grade AI agents and agentic systems across Spin’s multi-business ecosystem. This is a technical people-leadership role: you combine the credibility of a hands-on engineer, comparable to Staff level, with accountability for delivery, quality, and the growth of your team. You partner with Product, Design, Data Science, and business leaders to turn the AI roadmap into reliable products.\nWhat you’ll do\nLead, coach, and grow a team of AI Engineers (up to IC4): onboarding, performance check-ins, feedback, and career development within Spin's career framework.\nOwn the delivery of your team’s AI agents roadmap: prioritize with Product Managers, plan, sequence, and commit to realistic outcomes.\nSet the technical direction with the Staff AI Engineers: architecture reviews, engineering standards, and build-vs-buy decisions (framework, model provider, retrieval, orchestration).\nBe accountable for production reliability: on-call readiness, incident response, post-mortems, and root-cause fixes.\nSet and uphold the quality bar for agentic systems: evals, guardrails, observability, and monitoring.\nReview architecture and critical code, and stay close enough to the technology to challenge and unblock your team.\nPartner with Product Managers, Designers, Data Scientists, and business teams from early discovery through launch and iteration.\nManage capacity, headcount planning inputs, and cost of cloud and model usage (FinOps) for your team.\nRemove blockers, align stakeholders, and communicate status, risks, and trade-offs clearly to leadership.\nHire and onboard: define profiles, run interviews, and calibrate the technical bar with Talent.\nPromote an AI-First culture, knowledge sharing, and responsible AI practices across the chapter.\nWhat we’re looking for\nSeniority: proven experience leading engineering teams while staying technically hands-on (M1 level), with technical depth comparable to IC5/Staff.\nEvidence of production, not proofs of concept: you have shipped and operated an AI agent, copilot, or agentic system serving real users, and can speak concretely about what broke, how you found out, and how you fixed it.\nPeople leadership: you have managed, coached, and grown engineers up to Sr level, handled performance conversations, and built a healthy team culture.\nHands-on experience with agent frameworks/orchestrators (e.g., LangGraph, LangChain, or equivalent), LLM provider APIs (Claude, OpenAI, Gemini), vector databases, and eval frameworks.\nA strong software engineering foundation: you can review code and architecture and reason about an agent as a distributed system with failure modes, not just a model call.\nJudgment on trade-offs particular to agentic systems: latency vs. quality, autonomy vs. control, cost vs. accuracy.\nDelivery ownership: planning, prioritization, and stakeholder alignment without needing a dedicated Technical Program Manager.\nAbility to influence cross-functional decisions with Product, Design, and business stakeholders.\nExperience working in agile, collaborative, multidisciplinary environments; clear communication with technical and business audiences.\nWe are very excited if you also...\nExperience with Databricks, AWS, or MLflow in production environments.\nExperience designing or leading evaluation and guardrail systems for LLM-based products.\nExperience hiring across countries and in regulated sectors (banking / fintech), or with financial products, operations, support, growth, or loyalty.\nInterest in human-in-the-loop systems, AI trust, explainability, and responsible AI.\nWhat will you find?\nA company building AI-First capabilities at scale.\nAn AI Products Chapter focused on creating agents, copilots, and intelligent experiences for multiple tribes and squads.\nReal, high-impact challenges affecting clients, businesses, operations, and the ecosystem.\nSpace to experiment, propose, and build new interaction patterns.\nMultidisciplinary teams with a focus on product, data, technology, and user experience.\nA clear growth path within the Y career framework (management track).\nIf you are excited about leading the team engineering the future of interaction between humans, AI, and digital products, we want to meet you!\nEn Spin estamos comprometidos con construir un lugar de trabajo diverso e inclusivo.\nCreemos en la igualdad de oportunidades y promovemos un entorno libre de discriminación por motivos de raza, origen nacional, género, identidad de género, orientación sexual, discapacidad, edad o cualquier otra condición legalmente protegida.","description_format":"text","description_chars":4682,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Payment Processing & Gateways","Digital Banks & Neobanks"],"lifecycle":[{"event":"open","at":"2026-11-05T20:43:19Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":23,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/spin-m1-ai-engineering-lead","json_url":"https://alion.io/job/spin-m1-ai-engineering-lead.json","meta":{"generated_at":"2026-11-08T09:16:14Z","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":20121,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"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":1811024},"rest":"https://alion.io/mcp/rest/get_company?id=1811024"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fspin-m1-ai-engineering-lead"},{"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%2Fspin-m1-ai-engineering-lead"},{"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%2Fspin-m1-ai-engineering-lead"},{"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/spin-m1-ai-engineering-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fspin-m1-ai-engineering-lead"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3835002}},{"tool":"search_jobs","arguments":{"company":"spin.app","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3835002},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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