AI Engineer: Production LLMs & Autonomous Agents
AI Engineer: Production LLMs & Autonomous Agents

AI Engineer: Production LLMs & Autonomous Agents

Full-Time 60000 - 80000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build AI agents that learn and automate enterprise processes using cutting-edge LLM technology.
  • Company: Join Edra, a Series A startup backed by top VCs, in New York or London.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: We value diverse backgrounds and unique skills—everyone is welcome to apply!
  • Why this job: Make a real impact by solving complex AI challenges in a dynamic environment.
  • Qualifications: 3+ years of experience in building production LLM systems and strong communication skills.

The predicted salary is between 60000 - 80000 £ per year.

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 are a Series A startup, backed by Sequoia and other leading VC firms, and we are growing our team in New York and London. We are 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 will build.

The Role

We are 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 are looking for AI Engineers who have built complex, production LLM-based systems. Whether you have 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 will 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 Will 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 Are Looking For

  • You have built complex, production LLM-based systems with real depth–something with multiple layers of engineering decisions you can walk through in detail
  • You have shipped something meaningful to production and can explain how it evolved
  • You are 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 are a strong communicator who can clearly explain their work, both to teammates and to customers

Don’t meet all of the above traits? We would still love to hear from you. We are 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.

AI Engineer: Production LLMs & Autonomous Agents employer: Edra

At Edra, we pride ourselves on being an exceptional employer, fostering a collaborative and innovative work culture that empowers our team to tackle complex challenges in enterprise AI. With a focus on employee growth, we offer opportunities to work directly with leading enterprise customers in vibrant locations like New York and London, ensuring that our engineers not only contribute to cutting-edge projects but also develop their skills in a supportive environment. Join us to be part of a deeply technical team where your contributions will shape the future of AI technology.
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Contact Detail:

Edra Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer: Production LLMs & Autonomous Agents

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Edra or similar companies. A friendly chat can open doors that applications alone can't.

✨Tip Number 2

Show off your skills! If you’ve built any LLM-based systems or autonomous agents, create a portfolio or a GitHub repo showcasing your work. This gives us a tangible way to see what you can do.

✨Tip Number 3

Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you tackle open-ended problems and share examples of your past projects. We love seeing your thought process!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.

We think you need these skills to ace AI Engineer: Production LLMs & Autonomous Agents

LLM-based Systems Development
AI Agent Design
Knowledge Management
Human-in-the-Loop Feedback
Prompt Optimization
Context Engineering
Scalable System Architecture
Complex AI Orchestration
Production Deployment
Evaluation Frameworks
Confidence Scoring
Problem Prototyping
Strong Communication Skills
Analytical Thinking

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with LLM-based systems and any relevant projects you've worked on. We want to see how your skills align with what we're building at Edra!

Show Your Passion: Let your enthusiasm for AI and autonomous systems shine through in your application. Share specific examples of challenges you've tackled and how you approached them. We love candidates who are excited about solving complex problems!

Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your experience and achievements. We appreciate strong communicators who can convey their ideas effectively, just like we do with our customers.

Apply Through Our Website: We encourage you to submit your application directly through our website. This way, we can ensure your application gets the attention it deserves. Plus, it’s the best way to stay updated on your application status!

How to prepare for a job interview at Edra

✨Know Your LLMs Inside Out

Make sure you can discuss your experience with production LLM-based systems in detail. Be ready to explain the engineering decisions behind your projects and how they evolved over time. This shows you not only understand the technology but also how to apply it effectively.

✨Showcase Problem-Solving Skills

Prepare examples of open-ended problems you've tackled, especially those where the solution wasn't immediately clear. Discuss your approach to prototyping solutions and how you worked with customers to ship them to production. This will highlight your ability to navigate complex challenges.

✨Communicate Clearly and Confidently

Practice explaining your work in a way that’s easy to understand for both technical and non-technical audiences. Being a strong communicator is key, especially when discussing your projects with teammates and enterprise customers. It’s all about making your insights accessible.

✨Demonstrate Continuous Learning

Be prepared to talk about how systems learn and improve over time, including your experience with human-in-the-loop feedback and prompt optimisation. Showing your enthusiasm for continuous learning and improvement will resonate well with the team at Edra.

AI Engineer: Production LLMs & Autonomous Agents
Edra

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