{"id":794152,"url":"https://alion.io/job/dwelly-applied-ai-engineer","title":"Applied AI Engineer","company":{"id":719982,"name":"Dwelly","domain":"pdwelly.fs2.com","url":"https://alion.io/company/fs2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":15,"ghost_share":0,"stale_share":0.6,"repost_share":0.067,"time_to_fill_p50_days":35,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"European time zones","utc_offset_min":0,"utc_offset_max":2},"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":68000,"max_usd":182000,"period":"year","method":"role_country_seniority_unknown","sample_n":168},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-08-17T17:19:01Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-31T19:12:30Z","board_verified":true,"closed_at":null,"days_open":75,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":74},"description":"About Dwelly\nDwelly is building the AI operating system for residential lettings. Its growing network of agencies provides its AI with real-world data, continuous feedback, and control over complete workflows, making exceptional service the standard for landlords and tenants. Today, Dwelly operates more than 15,000 properties and $470 million in GMV, making it one of the UK’s ten largest lettings operators. The company has raised $263 million.\nWe’re a fast-growing, product-focused company, backed by top-tier investors and led by a team with deep experience in real estate, technology, and operations.\nPosition Summary\nWe’re looking for an Applied AI Engineer to help build the agentic infrastructure that powers automation across Dwelly. Our growth model is acquisition. Every agency we acquire brings new operational workflows, legacy processes, and manual work. If we manage each new agency manually, the economics of the model break. Our ability to scale depends on turning complex operational processes into reliable AI-driven and automated systems.\nWe already have successful AI-driven flows running in Tenant Find and Property Management. They work and deliver real business results. But they were built quickly and as separate systems.\nThe next challenge is to bring these approaches together: build reusable agentic infrastructure, establish a robust evaluation and observability layer, and create systems that allow us to automate new workflows quickly and reliably as Dwelly scales.\nThis is not an AI research role. You will be building AI systems that operate inside a real business and are expected to work reliably in production.\nWe’re hiring remotely across the UK, Ireland, and European time zones. Candidates should be based within these regions/time zones to enable effective collaboration with the wider team.\nKey Responsibilities\n1. Agentic infrastructure\nDesign and build the core primitives behind our agentic systems, including memory, context management, tool-calling, orchestration, and feedback loops.\nMove us from one-off AI solutions toward reusable infrastructure where new workflows can be introduced quickly and with predictable reliability.\n2. Evaluation & observability\nBuild the evaluation framework that allows us to understand how our agents perform and why they succeed or fail.\nMake testing, tracing, debugging, and evaluating AI systems as fundamental to our engineering process as unit testing traditional software.\nDevelop the systems that allow us to confidently assess an agentic workflow before deploying it into production.\n3. Agentic development\nPush forward how we use LLMs to build software itself.\nCreate workflows where coding agents and specialized subagents can explore repositories, implement changes, review architecture, check conventions, run evaluations, and iterate with minimal human coordination.\nUse agentic engineering workflows extensively in your own day-to-day development.\n4. Orchestration\nDesign systems where specialized agents, tools, deterministic software, and humans work together effectively.\nUnderstand when a problem should be solved with an LLM, when traditional software is the better solution, and when multiple coordinated agents can materially improve the outcome.\n5. Operational automation\nAct as the bridge between complex operational workflows and engineering.\nWork closely with our operational and product teams to understand how work actually happens across acquired agencies, identify the highest-leverage opportunities for automation, and turn them into reliable production systems.\n6. Architectural influence\nHelp define the architectural patterns we use for agentic systems as the company scales.\nYou won’t be joining as engineer #20 on an established AI platform. You will be an early core member of the team with significant influence over our technical approach, tooling, and engineering standards.\nQualifications and Preferred Background\nStrong software engineering background with experience independently delivering complex systems from idea through to production\n\nHands-on experience building AI or agentic systems that have operated in production\n\nExperience dealing with real-world AI challenges such as reliability, latency, context management, failure modes, evaluation, and observability\n\nStrong understanding of agents, tool use, structured outputs, context management, orchestration, evaluation, and feedback loops\n\nAdvanced practical use of modern LLMs - not simply using ChatGPT or Claude occasionally, but understanding how to build reliable workflows around probabilistic systems\n\nExperience using coding agents and agentic development workflows as part of your own engineering process\n\nExperience decomposing complex engineering tasks across agents or specialized subagents and designing mechanisms for them to verify and improve their outputs\n\nStrong architectural judgment and ability to decide when to use LLMs, deterministic software, human intervention, or a combination of approaches\n\nExperience with TypeScript / Node.js, or strong experience building AI systems in Python with the ability and willingness to apply that knowledge in a TypeScript-first environment\n\nHigh autonomy, ownership, and comfort making decisions under ambiguity\n\nStrong product judgment and ability to connect technical decisions to operational and business outcomes\n\nStrong communication skills and fluency in English\n\nStartup mentality: resilience, adaptability, and ability to thrive in a fast-paced environment\n\nWhat We Don't Mean by “AI Experience”\nFor this role, AI experience does not mean:\nUsing ChatGPT to generate snippets of code\n\nAdding a single LLM API call to an application\n\nBuilding a prompt wrapper and calling it an agent\n\nBlindly accepting whatever a coding agent generates\n\nWe are looking for engineers who think in terms of agents, tools, context, orchestration, evaluation, feedback loops, and human-machine collaboration - and who already apply these concepts in their day-to-day engineering work.\nWhat Success Looks Like\nWithin your first 12 months:\nReliability: We can deploy a new agentic workflow and understand how it will perform before it reaches production because we have robust evaluation and observability systems in place.\n\nSpeed: Integrating processes from newly acquired agencies takes days rather than weeks because we have a standardized library of reusable agentic primitives.\n\nEfficiency: A significant amount of repetitive operational work has been automated, allowing our teams to focus on the areas where human judgment and interaction create the most value.\n\nEngineering leverage: Agentic development workflows materially increase the speed and quality at which our engineering team can build, test, and evolve software.\n\nTechnology Stack\nTypeScript (Primary) · Node.js · PostgreSQL · LLM Orchestration · Agentic Workflows\nWhy This Might Not Be for You\nThis role is probably not the right fit if:\nYou primarily want to research new models, read the latest papers, or train custom models. We are pragmatic builders rather than an AI research lab.\n\nYou prefer working from a clearly defined backlog where someone else determines what should be built.\n\nYou enjoy prototyping AI systems but are less interested in the less glamorous work required to make them reliable - evaluation, logging, error handling, observability, infrastructure, and operational edge cases.\n\nYou see AI primarily as a feature rather than a new way of designing and building software systems.\n\nCompensation and benefits\nThe role is fully remote, providing flexibility and enabling seamless collaboration with our geographically distributed team\nCompetitive salary with the potential for equity options based on performance, recognising exceptional contributions to our integration success\nWhat is it like being a Dwell-er\nFeel free to check out Dwelly Core Principles. That’s about what we believe in, how we operate and make decisions\nWhat we offer is not a fancy office or a static workplace. Instead, this is solving one of the world’s most complex problems in the largest consumer industry in the world (residential rentals), to improve the experience for over 30% of households (more than 5 million in the UK, and over 100 million including EU and US) that live in rental homes\nThis is about disrupting the largest, most antiquated industry in the world, with one of the strongest operational and technical teams that exist in the UK and the EU. We work hard, and we shoot for extremely ambitious results. But we want people to be proud of what they’ve built and be able to look back and say one day “hell yeah, that was me that did it all”\nCustomer obsession rather than competitive focus\nPassion for invention\nOperational excellence\nLong-term thinking\nBy applying for this position, you consent to the processing and storage of your personal data for recruitment purposes for up to 365 days, in accordance with our data retention policy and applicable data protection laws.","description_format":"text","description_chars":8990,"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":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Equity"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Property Management","PropTech"],"lifecycle":[{"event":"open","at":"2026-09-12T04:26:55Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.315,"p_room":0.28,"age_days":74,"expected_fill_days":35,"reasons":["conf:1","stale_co","win:tail","crowd:"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/dwelly-applied-ai-engineer","json_url":"https://alion.io/job/dwelly-applied-ai-engineer.json","meta":{"generated_at":"2026-10-31T22:53:38Z","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":35651,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":719982},"rest":"https://alion.io/mcp/rest/get_company?id=719982"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdwelly-applied-ai-engineer"},{"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%2Fdwelly-applied-ai-engineer"},{"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%2Fdwelly-applied-ai-engineer"},{"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/dwelly-applied-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdwelly-applied-ai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":794152}},{"tool":"search_jobs","arguments":{"company":"pdwelly.fs2.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":794152},"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); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}