Applied AI Engineer

🕒 August 17

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Dwelly

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

💼 Consulting

📦 Logistics

🏨 Hospitality

💰 Seed on 2024-05

Consulting • Logistics • Hospitality

Dwelly is an acquisitions and succession-planning platform focused on independent UK lettings agencies. It offers free valuations, competitive cash-out offers, and tailored exit deals while preserving agency branding and client relationships. Dwelly runs a transparent, collaborative due diligence process and uses technology and AI to modernize operations post-acquisition, enabling owners to exit smoothly and profitably.

📋 Description

• Design and build core primitives for agentic systems, including memory, context management, tool-calling, orchestration, and feedback loops • Develop reusable agentic infrastructure to introduce new workflows quickly and reliably • Build evaluation and observability frameworks for testing, tracing, debugging, and assessing AI agents before production deployment • Create coding-agent and specialized-subagent workflows that explore repositories, implement changes, review architecture, run evaluations, and iterate with minimal human coordination • Design systems integrating specialized agents, tools, deterministic software, and humans • Decide when to use LLMs, traditional software, human intervention, or coordinated agents • Partner with operational and product teams to understand acquired-agency workflows and identify automation opportunities • Turn complex operational processes into reliable production systems • Define architectural patterns, tooling, and engineering standards for agentic systems • Deliver first-year outcomes in reliability, workflow-integration speed, operational efficiency, and engineering leverage

🎯 Requirements

• Strong software engineering background with experience independently delivering complex systems from idea through production • Hands-on experience building AI or agentic systems that have operated in production • Experience with reliability, latency, context management, failure modes, evaluation, and observability in real-world AI systems • Strong understanding of agents, tool use, structured outputs, context management, orchestration, evaluation, and feedback loops • Advanced practical use of modern LLMs and ability to build reliable workflows around probabilistic systems • Experience using coding agents and agentic development workflows in engineering processes • Experience decomposing complex engineering tasks across agents or specialized subagents and designing output verification and improvement mechanisms • Strong architectural judgment regarding LLMs, deterministic software, human intervention, and combined approaches • Experience with TypeScript / Node.js, or strong experience building AI systems in Python with willingness to apply it in a TypeScript-first environment • High autonomy, ownership, and comfort making decisions under ambiguity • Strong product judgment connecting technical decisions to operational and business outcomes • Strong communication skills and fluency in English • Startup mentality, resilience, adaptability, and ability to thrive in a fast-paced environment

🏖️ Benefits

• The role is fully remote, providing flexibility and enabling seamless collaboration with our geographically distributed team • Competitive salary • Potential for equity options based on performance • Opportunity to work on a complex problem in the residential rentals industry • Opportunity to work with operational and technical teams in the UK and EU • Customer obsession rather than competitive focus • Passion for invention • Operational excellence • Long-term thinking