Remote Applied AI Engineer: Agentic Systems & Automation

Dwelly; Greater London; Hybrid; GBP 110,000 - 170,000; Full time

Benefits offered by this job

Fully remote

Equity options

Competitive salary

Job summary

Dwelly is seeking an Applied AI Engineer to build agentic infrastructure and production-grade AI systems powering automation across its real estate platform. You will focus on reliability, observability, and scalable workflows to push Dwelly's AI capabilities into core business processes.

As an early core member, you will influence architectural decisions, developer tooling, and engineering standards while collaborating with teams across the UK, Ireland, and European time zones.

Qualifications

• Strong software engineering background with experience independently delivering complex systems from idea through to production.
• Hands-on experience building AI or agentic systems that have operated in production.
• Experience dealing with real-world AI challenges such as reliability, latency, context management, failure modes, evaluation, and observability.
• Strong understanding of agents, tool use, structured outputs, context management, orchestration, evaluation, and feedback loops.
• Advanced practical use of modern LLMs — not simply using ChatGPT or Claude occasionally, but understanding how to build reliable workflows around probabilistic systems.
• Experience using coding agents and agentic development workflows as part of your own engineering process.
• Experience decomposing complex engineering tasks across agents or specialized subagents and designing mechanisms for them to verify and improve their outputs.
• Strong architectural judgment and ability to decide when to use LLMs, deterministic software, human intervention, or a combination of approaches.
• Experience 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.
• High autonomy, ownership, and comfort making decisions under ambiguity.
• Strong product judgment and ability to connect 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.

Responsibilities

• Agentic infrastructure: design and build core primitives behind agentic systems, including memory, context management, tool-calling, orchestration, and feedback loops.
• Evaluation & observability: build evaluation framework to understand agent performance and why they succeed or fail.
• Agentic development: push forward how we use LLMs to build software itself; coding agents and subagents explore repositories, implement changes, review architecture, run evaluations, and iterate with minimal human coordination.
• Orchestration: design systems where agents, tools, deterministic software, and humans work together effectively.
• Operational automation: bridge between complex operational workflows and engineering; define architectural patterns for agentic systems as the company scales.

Job description

Dwelly is seeking an Applied AI Engineer to build agentic infrastructure and production-grade AI systems powering automation across its real estate platform. You will focus on reliability, observability, and scalable workflows to push Dwelly's AI capabilities into core business processes.

As an early core member, you will influence architectural decisions, developer tooling, and engineering standards while collaborating with teams across the UK, Ireland, and European time zones.