{"id":2500864,"url":"https://alion.io/job/auquan-ai-applied-engineer-london","title":"AI Applied Engineer - London","company":{"id":63554,"name":"Auquan","domain":"auquan.com","url":"https://alion.io/company/auquan","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HiBob","truth_index":{"grade":"D","score":49,"open_postings":13,"ghost_share":0.846,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Machine Learning","optional":true},{"name":"Next.js","optional":true},{"name":"React.js","optional":true},{"name":"Redis","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-05-28T19:03:17Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-21T08:59:57Z","board_verified":true,"closed_at":null,"days_open":145,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":145},"description":"About the company\nAuquan develops autonomous AI agents that eliminate the repetitive, manual work slowing down financial institutions. Our technology supports credit, investment, ESG, and compliance workflows for leading firms including Goldman Sachs, UBS, CVC, and MetLife. Today, 40% of the world’s top 50 financial institutions use Auquan to remove manual processes, speed up decision-making, and achieve greater strategic impact.\nWith teams growing across the US, UK, and India, we’re building an elite force of innovators ready to redefine what’s possible with AI and machine learning.About the role\nThis role sits at the intersection of systems architecture, agentic AI workflows, and customer-facing problem solving. You’ll design multi-agent systems, build reusable primitives, and convert complex financial workflows into scalable automated products.\nYou’ll work directly with leading investment firms and own the lifecycle of every agent you build-from design to reliability, deployment, and scale.\nTeam & Culture\nHigh-agency, high-velocity, no-politics.\nWe move fast, unblock ourselves, work directly with customers, give clear feedback, and minimise process. We’re building the platform that automates analytical work across finance - a category-defining opportunity.\nIf you want to own meaningful outcomes, build high-leverage AI systems, and move faster than almost anywhere else, you’ll fit right in.\nResponsibilities\nTake ambiguous workflow requests and turn them into scoped, architected, implemented, and deployed multi-agent systems\nBuild reliable multi-step, multi-agent workflows used in production by financial institutions\nOwn reliability, latency, success metrics, and customer adoption\nWork directly with customer engineering teams to deliver smooth deployments\nConvert bespoke workflows into reusable platform primitives and components\nBuild orchestration logic, tools, templates, and pipelines used across engineering pods\nShip V1s in days, operate with high agency, tight prioritisation, and strong defaults\nIdentify patterns across customers and turn them into reusable systems\nInfluence architecture and direction of core platform components\nUse AI for coding, testing, debugging, workflow design, and documentation\nBuild evals, safety nets, and AI-native engineering workflows\nRequirements\nMust-Haves4+ years of software development in fast-paced, product-focused environments\nOwned a subsystem or workflow end-to-end (requirements → architecture → implementation → launch)\nStrong Python fundamentals; think in primitives, patterns, and systems\nAlready use AI to automate work or build LLM-powered workflows\nComfortable translating customer ambiguity into crisp technical solutions\nAble to unblock yourself through learning, experimentation, and AI tools\nThrive under tight deadlines, high expectations, and minimal process\nYou'll have a solid grasp of our tech stack: Python, React / NextJS, Fast API, MongoDB, Redis\nNice-to-Haves\nBuilt or orchestrated multi-step LLM or agentic workflows\nExperience with financial workflows (credit, investment, ESG, risk)\nInfra/ops exposure (Kubernetes, Terraform, Azure/AWS, CI/CD, observability)\nExperience at early-stage startups\nBuilt internal frameworks, tooling, or templates used by multiple teams\nExperience with evals, guardrails, or workflow orchestration systems\nBenefits\nWe are an office-first company and expect regular in-person collaboration as part of this role. You should also be comfortable collaborating across time zones (US, UK, India).We offer a competitive package designed to support you both inside and outside of work:\nBase Salary: Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.\nPerformance Bonus: bonus target\nEquity: Meaningful stock options so you share in our growth\nTime Off: Flexible PTO\nHealth & Wellbeing: Private Medical Insurance (UK) \nRetirement: Pension","description_format":"text","description_chars":4000,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Health insurance","Stock options"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","AI Agents","Financial AI","Document AI"],"lifecycle":[{"event":"open","at":"2026-10-14T05:49:09Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker","cap_exempt":false,"checked_at":"2026-10-21T06:25:45+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.168,"p_room":0.28,"age_days":145,"expected_fill_days":22,"reasons":["conf:1","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/auquan-ai-applied-engineer-london","json_url":"https://alion.io/job/auquan-ai-applied-engineer-london.json","meta":{"generated_at":"2026-10-21T12:07:46Z","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":17226,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":63554},"rest":"https://alion.io/mcp/rest/get_company?id=63554"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fauquan-ai-applied-engineer-london"},{"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%2Fauquan-ai-applied-engineer-london"},{"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%2Fauquan-ai-applied-engineer-london"},{"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/auquan-ai-applied-engineer-london\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fauquan-ai-applied-engineer-london"}]}