Senior AI Backend Engineer in London

Senior AI Backend Engineer in London

London Full-Time 70000 - 90000 € / year (est.) No home office possible
Owkin

At a Glance

  • Tasks: Build cutting-edge AI systems for biomedical research and empower scientific discovery.
  • Company: Owkin, an innovative AI company focused on biology and healthcare.
  • Benefits: Flexible work, friendly environment, and collaboration with a diverse international team.
  • Other info: Remote position available in the UK or Germany with excellent growth opportunities.
  • Why this job: Make a real impact in biology with advanced AI technologies and tools.
  • Qualifications: Experience in software development, system architecture, and AI integration.

The predicted salary is between 70000 - 90000 € per year.

About us

Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine‑tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster. This position is remote and based in the UK or Germany.

About the role:

As a Senior AI Software Engineer, you will build the world leading Agentic AI product for biomedical researchers by combining robust engineering practices with cutting‑edge AI technologies. You'll be working on a real‑time system that integrates LLMs, tool‑calling, and interactive UI elements, making sure our users can seamlessly engage with complex domain‑specific data. This role requires balancing traditional engineering principles with innovative approaches when integrating LLMs and AI throughout our technology stack. If you love building and refining a dynamic product, this role is for you. Your seniority and experience will be crucial in guiding the multidisciplinary team to make strategic decisions and empowering team members.

In particular, you will:

  • Collaborate within a multi‑disciplinary team of product managers, designers, software engineers, machine learning and biomedical scientists.
  • Design, build, and maintain scalable, reliable AI systems.
  • Drive technical decisions and provide context‑aware solutions for AI systems in biological research.
  • Leverage and pioneer evaluation methodologies to ensure continuous product improvement.
  • Experiment with cutting‑edge industry solutions— orchestration patterns, fine‑tuning, specialized monitoring, feedback loops, etc.
  • Lead core stack component development focusing on sustainability, scalability, security, reliability, and performance.
  • Foster team growth by sharing expertise and mentoring colleagues through code reviews, technical discussions, and knowledge sharing.

About you

You’re driven by impact — excited to empower biomedical researchers with intuitive, AI‑driven tools that unlock scientific discovery. Strong collaborative skills with an open, pragmatic mindset; you thrive in multidisciplinary environments that involve people with diverse backgrounds. Clear and effective communicator who can translate technical complexity into actionable decisions for the team. Proven track record leading software development at scale in production environments. Deep understanding of system architecture, infrastructure design, and building resilient distributed systems. Extensive experience with production environments: continuous deployment, high availability, observability, and security. Curiosity and ideally hands‑on experience with AI systems — from integrating LLMs to evaluating their performance in real‑world workflows. Passion for user experience and product thinking: you consider not only the system’s internals but how the end user interacts with and benefits from your work. Fluent English, both written and spoken.

Stack: Python, Kubernetes, AWS

What we offer

  • Flexible work organization
  • Friendly and informal working environment
  • Opportunity to work with an international team with high technical and scientific backgrounds

Equal Opportunity Statement

Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability.

Senior AI Backend Engineer in London employer: Owkin

Owkin is an exceptional employer, offering a flexible and friendly remote work environment that fosters collaboration among a diverse international team of experts in AI and biology. With a strong emphasis on employee growth, Owkin encourages knowledge sharing and mentorship, ensuring that every team member can thrive while contributing to groundbreaking advancements in biomedical research.

Owkin

Contact Detail:

Owkin Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Backend Engineer in London

Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Owkin. Building relationships can open doors that a CV just can't.

Show Off Your Skills

Don’t just talk about your experience; demonstrate it! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and backend engineering. This gives us a tangible sense of what you can do.

Ace the Interview

Prepare for technical interviews by brushing up on your coding skills and understanding system architecture. Practice common interview questions and be ready to discuss how you've tackled challenges in past projects.

Apply Through Our Website

Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to engage with us.

We think you need these skills to ace Senior AI Backend Engineer in London

AI System Development
Large Language Models (LLMs)
Real-Time System Integration
Scalable System Design
Technical Decision Making
Evaluation Methodologies
Orchestration Patterns

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior AI Backend Engineer role. Highlight your experience with AI systems, Python, and any relevant projects that showcase your ability to work in multidisciplinary teams.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how you can contribute to our mission at Owkin. Share specific examples of your past work that demonstrate your problem-solving skills and collaborative spirit.

Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise! Mention your experience with system architecture, distributed systems, and any hands-on work with LLMs. We want to see how you can drive technical decisions in our team.

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!

How to prepare for a job interview at Owkin

Know Your AI Stuff

Make sure you brush up on your knowledge of AI systems, especially in the context of biomedical research. Be ready to discuss your experience with LLMs and how you've integrated them into real-world applications. This will show that you’re not just familiar with the theory but have practical insights to share.

Show Off Your Collaboration Skills

Since this role involves working with a multidisciplinary team, be prepared to talk about your past experiences collaborating with product managers, designers, and scientists. Share specific examples of how you’ve successfully navigated diverse perspectives to achieve a common goal.

Communicate Clearly

Practice explaining complex technical concepts in simple terms. You’ll need to demonstrate that you can translate intricate ideas into actionable decisions for your team. Think of scenarios where you had to simplify your communication for non-technical stakeholders.

Demonstrate Your Passion for User Experience

Be ready to discuss how you consider user experience in your engineering work. Share examples of how you’ve designed systems with the end user in mind, and how you’ve gathered feedback to improve those systems. This will highlight your commitment to creating intuitive, AI-driven tools.