Applied Ai Engineer – Llm & Agentic Systems

About the Opportunity

AIDA Recruitment is looking for an experienced Applied AI Engineer to join our client's rapidly growing, AI-native technology company in the UK.

Our client is transforming the property management industry by developing an AI-powered platform that automates complex operational processes, integrates traditional businesses, and improves efficiency at scale.

Following a $170 million Series B funding round, the company has raised more than $260 million and now manages over 15,000 properties across the UK.

You will join a growing engineering organization of approximately 20 people, working in small, autonomous teams of 2–3 engineers.

This is an opportunity to become an early core contributor to the company's agentic AI infrastructure, influence architectural decisions, and develop systems already supporting real business operations.

This is not an AI research or traditional Machine Learning position. We are looking for a strong backend software engineer who has built, deployed, and maintained AI agents in production.

Location:

Fully Remote – UK & Europe (UK working hours)
Salary: €100,000–€150,000 annually

Contract:

Full-time | Permanent or B2B
Equity:
Competitive equity options
Tech Stack:
Type Script, Node.js, PostgreSQL, Python, LLMs, Agentic AI
Visa sponsorship:
Sponsorship or visa transfers may be possible for candidates already based in London. New international relocation is not offered as standard.

Key Responsibilities

AI Agent Development & Architecture

• Design, build, and maintain production-grade LLM-powered agents and multi-agent systems.
• Develop agentic workflows involving task decomposition, tool calling, structured outputs, orchestration, and feedback loops.
• Build reusable agent components, including memory, context management, and tool integrations.
• Design scalable architectures connecting AI agents with backend services, databases, and business applications.
• Establish architectural patterns that allow new AI workflows to be introduced efficiently.

Evaluation, Reliability & Performance

• Design and implement automated evaluation frameworks for AI agents.
• Create evaluation datasets with measurable success criteria and pass thresholds.
• Integrate agent evaluations into CI/CD pipelines and release processes.
• Monitor and improve agent reliability, latency, accuracy, and operational costs.
• Investigate hallucinations, incorrect tool calls, unexpected outputs, and production failures.
• Develop observability, debugging, error-handling, and fallback mechanisms.

Product Development & Engineering

• Collaborate with product managers, data engineers, and operational teams to identify automation opportunities.
• Transform complex business processes into reliable AI-driven solutions.
• Take ownership of features from architecture and development through deployment and production monitoring.
• Use modern AI coding agents, such as Claude Code or Codex, to improve engineering productivity.
• Contribute to technical decisions, engineering standards, and long‑term platform scalability.

Essential Requirements

Software Engineering Background

• 3+ years of professional software engineering experience
  , with strong backend development expertise.
• Hands‑on experience with Type Script/Node.js
  , or strong Python backend experience with willingness to work in a Type Script‑first environment.
• Experience designing APIs, integrating databases, and building scalable production applications.
• Strong understanding of software architecture, testing, CI/CD, and production reliability.
• Bachelor's degree in Computer Science or a related technical field.

Production AI & Agentic Systems – Mandatory

• Proven experience personally building and deploying LLM‑powered agents or agentic systems used by real users in production.
• Hands‑on experience with agent…