AI Engineer (London)

AI Engineer · Senior · Full Time

LondonGBP 90k – 150k9mo ago
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Role

What you'll do.

Edra is seeking a talented AI Engineer in London to develop advanced learning systems for enterprise AI agents. The role focuses on building complex, production-ready LLM-based systems that can autonomously learn and execute enterprise processes, working directly on core AI technologies with real-world customer impact.

Responsibilities

  • Core Learning Library Development: Contribute to and expand the platform's context learning capabilities
  • LLM System Design: Design and implement production-ready LLM-powered workflows
  • Customer Solution Prototyping: Work directly with enterprise customers to identify and solve complex AI challenges
  • Knowledge Management Automation: Build autonomous agents for managing and maintaining large knowledge bases
  • Reliability Engineering: Develop evaluation frameworks and confidence scoring mechanisms for AI systems
  • System Orchestration: Architect scalable async systems for complex AI interactions

Qualifications

What we look for.

Technical

  • Production LLM Systems

    Demonstrable experience building complex AI systems with multiple engineering layers

  • System Learning Techniques

    Understanding of continuous learning, human-in-the-loop feedback, and context engineering

  • AI Agent Development

    Experience creating autonomous systems and understanding their behavioral dynamics

Education

  • Computer Science

    Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field

  • AI Research

    Strong understanding of contemporary AI research and implementation techniques

Experience

  • Professional Experience

    Minimum of 3 years of professional software engineering or AI development experience

  • Production Deployment

    Track record of shipping meaningful AI solutions to production environments

Skills

Required

  • Large Language Models

    Experience building and deploying production-grade LLM systems

  • AI Agent Development

    Ability to design and implement autonomous AI agent workflows

  • System Architecture

    Expertise in designing scalable and async AI systems

  • Production Engineering

    Experience shipping complex AI solutions to enterprise customers

Preferred

  • Human-in-the-Loop Systems

    Nice to have

    Experience with feedback mechanisms and context engineering

  • AI Evaluation Frameworks

    Nice to have

    Knowledge of confidence scoring and system reliability metrics

  • Multi-Agent Systems

    Nice to have

    Understanding of advanced AI orchestration techniques

Tech stack

Languages

PythonTypeScript

Frameworks

PyTorchTensorFlowLangChain

Databases

PostgreSQLMongoDB

Tools

DockerKubernetesGit

Other

OpenAI APIHugging Face

Compensation

Pay and benefits.

Base·GBP 90,000 – 150,000

Equity·Stock options

Benefits

  • Competitive Compensation

    Attractive salary package for top AI engineering talent

  • Equity Options

    Stock options in a Series A AI startup with significant growth potential

  • Professional Development

    Opportunities to work on cutting-edge AI technologies and contribute to research

  • Healthcare

    Comprehensive health insurance coverage

  • Flexible Work

    Collaborative environment with potential for hybrid work arrangements

Process

Interview steps.

  1. 01

    Initial Screening

    HR review of application and background

  2. 02

    Technical Phone Screen

    Discussion of AI engineering experience and technical capabilities

  3. 03

    Take-Home Challenge

    Practical AI system design and implementation project

  4. 04

    Onsite/Virtual Technical Interviews

    Multiple rounds with engineering team, focusing on system design and problem-solving

  5. 05

    Final Leadership Interview

    Discussion of broader AI strategy and team fit

Full posting

Original listing.

About Edra

Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations.

We're a Series A startup, backed by Sequoia and other leading VC firms, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build.

The Role

We're building a learning system that teaches AI agents how enterprises actually work. Our system ingests knowledge bases, conversations, tickets, and system logs, then produces written instructions that agents can execute–with confidence scoring to know when to automate and when to seek human input.

We're looking for AI Engineers who have built complex, production LLM-based systems. Whether you've scaled LLM workflows handling millions of requests, built multi-agent systems in production, or designed evaluation frameworks for enterprise deployments, we want people who bring intensity and self-direction to their craft. You'll work directly on our core learning library, ship features with real enterprise customers, and contribute back to the platform. The work spans continuous learning systems, agentic features, human-in-the-loop feedback loops, and agent orchestration.

What You'll Do

  • Build and contribute to our core context learning library, implementing new learning capabilities with customers then generalizing them back into the platform

  • Design and implement LLM-powered systems and agentic workflows from concept to production

  • Work directly with enterprise customers to identify new problems, prototype solutions, and ship them to production

  • Build agentic features for knowledge management–think agents that can edit, update, and maintain large knowledge bases autonomously

  • Build reliability and confidence systems–evaluation frameworks, confidence scoring, and logic for when to automate vs. when to escalate to a human

  • Architect async, scalable systems that handle complex AI orchestration

  • Contribute to the direction of our AI strategy and product capabilities

What We’re Looking For

  • You've built complex, production LLM-based systems with real depth–something with multiple layers of engineering decisions you can walk through in detail

  • You've shipped something meaningful to production and can explain how it evolved

  • You're excited by open-ended problems where the solution might not exist yet

  • You have experience with (or strong interest in) how systems learn and improve over time: human-in-the-loop feedback, prompt optimization and context engineering

  • You have experience building agents and autonomous systems

  • You can navigate between research papers and production code with equal comfort

  • You have 3+ years of professional experience

  • You're a strong communicator who can clearly explain their work, both to teammates and to customers

Don’t meet all of the above traits? We’d still love to hear from you. We’re looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets.

A Few Details

Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.

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