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- Tasks: Design and build AI systems that revolutionise drug development and improve patient outcomes.
- Company: Join a multi-award-winning, VC-backed AI company making a real difference.
- Benefits: Competitive salary, bonus, equity, hybrid work, and private healthcare.
- Other info: Fast-paced, collaborative environment with excellent growth opportunities.
- Why this job: Work on meaningful projects using cutting-edge AI to solve critical challenges in healthcare.
- Qualifications: Experience in Python, AI systems, and a passion for real-world applications of technology.
The predicted salary is between 70000 - 90000 £ per year.
Build AI systems that help bring life-saving drugs back to patients. This is an opportunity to join a multi-award-winning, VC-backed AI company using Generative AI, LLMs, and agentic systems to solve one of the biggest challenges in drug development, drug safety and toxicity. By combining cutting-edge AI Engineering with real-world scientific research, they are unlocking failed drug candidates and giving them a path to become safe, effective treatments.
As a Senior AI Engineer, you'll design and build LLM-powered tools, agentic workflows, and scalable cloud-based systems that directly support scientists across drug discovery and development. Your work will have a tangible, real-world impact, helping accelerate research and ultimately improve patient outcomes.
This is a highly applied role where you'll move quickly from concept to production, building systems that automate complex knowledge work such as literature review, data extraction, and target identification, while working closely with ML researchers, engineers, and scientists in a fast-paced, collaborative environment.
You'll be responsible for designing and building AI systems, orchestration frameworks, and APIs, integrating and deploying LLMs and agent-based solutions into production, and continuously improving development, testing, and deployment processes. You'll work across Python, LLMs, LangGraph, Pydantic AI, Crew AI, APIs, cloud platforms (GCP preferred), microservices, and data pipelines, contributing to scalable, high-performance AI solutions.
We're looking for strong engineers with experience building production-grade systems in Python, integrating AI/LLM services via APIs, and working with modern agent frameworks. You may already have experience running and evaluating agentic systems in production or be developing this through hands-on projects, but you'll have a clear interest in AI Engineering, Generative AI, and real-world application of LLMs. Experience working in fast-paced environments, collaborating across disciplines, and turning complex problems into working solutions is key.
For more senior candidates, experience leading technical projects, owning architecture, and deploying scalable AI systems in production environments will be highly valuable.
In return, you'll receive a competitive salary (£70k-£90k depending on experience), bonus, pension, and equity in a high-growth startup, alongside hybrid working, private healthcare, and the opportunity to work on genuinely meaningful problems with real-world impact.
If you're looking to apply AI, LLMs, and agentic systems to something that truly matters, this is a rare opportunity to do exactly that.
Apply now or get in touch with Nathan Laidlaw at Transparent Technology for a confidential chat.
AI Engineer - Cambridge (Hybrid) employer: Transparent Technology
Contact Detail:
Transparent Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Cambridge (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, LLMs, and agentic systems. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach complex problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our mission to make a real-world impact in drug development.
We think you need these skills to ace AI Engineer - Cambridge (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, LLMs, and agentic systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI Engineering and how you can contribute to our mission of improving patient outcomes. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any hands-on projects involving AI or LLMs, make sure to mention them! We love seeing practical applications of your skills, so include links or descriptions of your work.
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Transparent Technology
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, LLMs, and the specific tools mentioned in the job description like LangGraph and Pydantic. Brush up on your knowledge of cloud platforms, especially GCP, as they might ask you to explain how you would deploy scalable AI systems.
✨Showcase Real-World Applications
Prepare examples of how you've applied AI engineering in real-world scenarios. Discuss any projects where you’ve built production-grade systems or worked with agentic frameworks. This will demonstrate your ability to turn complex problems into practical solutions.
✨Collaborative Mindset
Since this role involves working closely with ML researchers and scientists, be ready to discuss your experience in collaborative environments. Share instances where you’ve successfully worked across disciplines to achieve a common goal, highlighting your teamwork skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to drug development and how they integrate AI into their processes. This shows your genuine interest in the role and helps you understand if the company aligns with your values and career goals.