Research Engineer (Agents) in London
Research Engineer (Agents)

Research Engineer (Agents) in London

London Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and build LLM-powered agents for complex data reasoning.
  • Company: Join a VC-backed AI startup revolutionising database reasoning.
  • Benefits: Founding level equity, competitive salary, and a chance to shape AI's future.
  • Why this job: Be part of a world-class team pushing the boundaries of AI technology.
  • Qualifications: MSc/PhD in relevant fields and experience with LLM systems.
  • Other info: Collaborative culture in central London with exceptional career growth.

The predicted salary is between 36000 - 60000 Β£ per year.

About Native

Native is a VC backed AI startup building the world’s most accurate AI for databases reasoning. This is hard. This is an unsolved problem that once solved will change how every enterprise operates. We recently published our results, achieving rank 1 on the industry standard benchmark. Our research team is based in London. Everyone has high agency, obsessed with the problem we are solving, embraces the intensity of a 6-day week and has the ambition to build something world changing. We are exceptional research engineers and scientists taking a novel approach to accurate database reasoning.

About the role

This is a founding LLM agents research engineer role, with the opportunity to define how large language models act as reliable, long-horizon agents over complex enterprise data.

  • Design and build LLM-powered agent architectures for reasoning over complex tabular, relational, and heterogeneous data
  • Develop planning, memory, tool-use, and verification mechanisms that allow LLM agents to operate accurately over databases
  • Research and implement techniques for grounding LLM agents in structured data representations (tables, graphs, schemas)
  • Build training, simulation, and evaluation environments for long-horizon, multi-step agent behavior
  • Develop self-supervised and reinforcement learning objectives for improving agent reliability and correctness
  • Integrate foundation model embeddings and symbolic components into agent workflows
  • Own agent systems end-to-end, from research prototypes to production-grade systems

Required experience

  • Proven ability to lead or significantly contribute to teams tackling hard research-engineering problems
  • MSc / PhD in Mathematics, Physics, Computer Science, or a related field
  • Strong hands-on experience building LLM-based systems with modern ML tooling (PyTorch, Ray, JAX)
  • Experience designing agentic systems (planning, memory, tool use, multi-step reasoning)
  • Strong understanding of transformers and foundation model behavior
  • Comfortable owning whatever needs doing, from research ideas to infrastructure
  • Experience optimizing large-scale training, fine-tuning, or simulation workloads on GPU clusters

Why join us

  • This is a rare chance to join a founding team operating at the frontier of AI, with the resources to win.
  • Impact: You will push the frontier of foundation models for an under-explored, massively valuable domain.
  • Team: We are a small, collaborative, world-class research team based in central London.
  • Founding level equity + competitive salary: We want you to share in the upside of what we are building. As part of the founding team, you will receive meaningful ownership alongside a salary that allows you to focus on building something great.
  • Direction: Chance to shape the direction of a new class of foundation model from day one.

Culture

At Native, we look for people with exceptional research and engineering ability, who want to win. Everyone loves building and is ambitious enough to want to change how the world operates for the better. We run towards hard problems. We are creative problem solvers, who keep going until we find the underlying principle of the problem, and build to solve that. If you have an entrepreneurial spirit, are intrinsically motivated and want to have a huge impact, we are a great fit.

Research Engineer (Agents) in London employer: Native

Native is an exceptional employer for those passionate about pushing the boundaries of AI technology. Located in the heart of London, we offer a collaborative and ambitious work culture where every team member has high agency and the opportunity to shape groundbreaking solutions. With competitive salaries, founding-level equity, and a focus on personal and professional growth, we empower our employees to tackle challenging problems and make a meaningful impact in the world.
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Contact Detail:

Native Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Research Engineer (Agents) in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Native or similar startups. Attend meetups, webinars, and conferences to make connections that could lead to job opportunities.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to LLMs and database reasoning. This will give you an edge and demonstrate your hands-on experience to potential employers.

✨Tip Number 3

Prepare for technical interviews by brushing up on your knowledge of transformers and agentic systems. Practice coding challenges and be ready to discuss your past projects in detail.

✨Tip Number 4

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 being part of our team at Native.

We think you need these skills to ace Research Engineer (Agents) in London

Large Language Models (LLM)
Machine Learning (ML) Tooling
PyTorch
Ray
JAX
Agentic Systems Design
Multi-step Reasoning
Transformers
Foundation Model Behaviour
GPU Cluster Optimization
Self-supervised Learning
Reinforcement Learning
Data Representation Techniques
Research Engineering

Some tips for your application 🫑

Show Your Passion: When writing your application, let your enthusiasm for AI and database reasoning shine through. We want to see that you're not just looking for a job, but that you're genuinely excited about tackling hard problems and making a difference in the field.

Tailor Your CV: Make sure your CV highlights relevant experience, especially with LLM-based systems and modern ML tooling. We love seeing how your background aligns with our mission, so don’t be shy about showcasing your skills in planning, memory, and multi-step reasoning.

Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your past work and how it relates to what we’re doing at Native. Be clear about your ambitions and how you see yourself contributing to our team.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us that you’re proactive and keen to join our team!

How to prepare for a job interview at Native

✨Know Your Stuff

Make sure you brush up on your knowledge of large language models and their applications in database reasoning. Familiarise yourself with the latest research and techniques, especially around transformers and agentic systems. This will show that you're not just interested in the role but are genuinely passionate about the field.

✨Showcase Your Experience

Prepare to discuss specific projects where you've tackled hard research-engineering problems. Highlight your hands-on experience with ML tooling like PyTorch or JAX, and be ready to explain how you've designed and built LLM-based systems. Concrete examples will help you stand out.

✨Embrace the Challenge

Native is all about solving tough problems, so demonstrate your problem-solving mindset during the interview. Share instances where you've faced challenges and how you approached them creatively. This will resonate well with their culture of ambition and resilience.

✨Ask Insightful Questions

Prepare thoughtful questions about the team’s current projects and future directions. This shows your interest in the role and helps you gauge if the company aligns with your own ambitions. Plus, it gives you a chance to engage in a meaningful conversation with your interviewers.

Research Engineer (Agents) in London
Native
Location: London

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