Applied AI Engineer

🕒 Agosto 17

🇬🇧 Reino Unido – Remoto (RU)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da Dwelly, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship Agosto 17

Ainda aberta no site da Dwelly. Verificada 9 horas atrás.

Logo of Dwelly

Dwelly

11 - 50 funcionários

Fundada em 2023

💼 Consultoria

📦 Logística

🏨 Hospitalidade

💰 Seed em 2024-05

Consulting • Logistics • Hospitality

A Dwelly é uma plataforma de aquisições e planejamento de sucessão focada em agências de locação independentes do Reino Unido. Oferece avaliações gratuitas, ofertas de resgate competitivas e acordos de saída personalizados, preservando a marca da agência e os relacionamentos com os clientes. A Dwelly conduz um processo transparente e colaborativo de due diligence e utiliza tecnologia e IA para modernizar as operações pós-aquisição, permitindo que os proprietários façam uma transição suave e lucrativa.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

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