AI Engineer (London)
AI Engineer · Senior · Full Time
Opens Edra's application page
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 haveExperience with feedback mechanisms and context engineering
AI Evaluation Frameworks
Nice to haveKnowledge of confidence scoring and system reliability metrics
Multi-Agent Systems
Nice to haveUnderstanding of advanced AI orchestration techniques
Tech stack
Languages
Frameworks
Databases
Tools
Other
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.
- 01
Initial Screening
HR review of application and background
- 02
Technical Phone Screen
Discussion of AI engineering experience and technical capabilities
- 03
Take-Home Challenge
Practical AI system design and implementation project
- 04
Onsite/Virtual Technical Interviews
Multiple rounds with engineering team, focusing on system design and problem-solving
- 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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