Applied AI Engineer – Remote, Europe or UK

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Design and construct essential components for agentic systems, encompassing memory, context management, tool-calling, orchestration, and feedback loops.

• Develop reusable AI infrastructure to facilitate the swift implementation of workflows with consistent reliability.

• Create evaluation frameworks to analyze agent performance and identify causes of failure.

• Incorporate testing, tracing, debugging, and evaluation as core elements of the AI engineering process.

• Establish systems to evaluate agentic workflows prior to their deployment in production.

• Propel the application of LLMs in software development.

• Formulate workflows allowing coding agents and specialized subagents to navigate repositories, implement modifications, review architecture, ensure compliance with conventions, conduct evaluations, and iterate with minimal human intervention.

• Utilize agentic engineering workflows extensively in daily development tasks.

• Design systems that integrate specialized agents, tools, deterministic software, and human input.

• Assess when to leverage LLMs, traditional software, or coordinated agents.

• Collaborate with operational and product teams across acquired agencies to pinpoint automation opportunities and transform them into dependable production systems.

• Contribute to defining architectural patterns for agentic systems as the organization scales.

• Act as an early core team member, influencing technical strategies, tooling, and engineering standards.

⛳️ Requirements

• Solid software engineering foundation with a proven track record of independently delivering complex systems from conception to production.

• Proven hands-on experience in building AI or agentic systems that have functioned in production environments.

• Familiarity with reliability, latency, context management, failure modes, evaluation, and observability.

• In-depth understanding of agents, tool utilization, structured outputs, context management, orchestration, evaluation, and feedback loops.

• Advanced practical experience with modern LLMs and dependable workflows surrounding probabilistic systems.

• Experience employing coding agents and agentic development workflows within engineering practices.

• Proven capability in breaking down complex engineering tasks across agents or specialized subagents and designing systems to validate and enhance outputs.

• Strong architectural acumen regarding LLMs, deterministic software, human involvement, or their combinations.

• Proficiency in TypeScript / Node.js, or robust experience building AI systems in Python with the capability and eagerness to apply that expertise in a TypeScript-centric environment.

• High level of autonomy, ownership, and comfort in making decisions amidst uncertainty.

• Strong product judgment linking technical choices to operational and business outcomes.

• Excellent communication skills and fluency in English.

• Startup mentality: resilience, adaptability, and the ability to excel in a fast-paced setting.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Flexible working hours and remote work options.

• Opportunities for professional development and career growth.

• Collaborative and inclusive work environment.

• Health and wellness benefits.