At a Glance
- Tasks: Lead AI integrations and design innovative workflows for biotech solutions.
- Company: Exciting Series A biotech AI start-up transforming healthcare with cutting-edge technology.
- Benefits: Competitive salary, equity options, fully remote work, and impactful projects.
- Other info: Dynamic remote-first environment with opportunities for growth and innovation.
- Why this job: Join a mission-driven team making real-world healthcare impacts through AI.
- Qualifications: Experience in AI engineering, data platforms, and customer integration.
The predicted salary is between 80000 - 130000 € per year.
Do you want to work on production AI systems used by global pharmaceutical companies? Have you built LLM or data platforms that needed to work reliably in real customer environments? Are you ready to operate at the intersection of AI Engineering, platform architecture, and enterprise delivery?
A Series A biotech AI startup is hiring a Forward Deployed Engineer to help enterprise customers integrate cutting-edge AI and knowledge graph technology into production workflows. Their platform combines NLP, LLMs, retrieval systems, and biomedical knowledge graphs to uncover relationships between diseases, proteins, and drugs across millions of scientific documents. The business works with pharmaceutical and biotech organisations globally and is scaling customer onboarding significantly following strong commercial traction.
You’ll join a highly technical, remote-first team focused on solving complex scientific and engineering problems with real-world healthcare impact. This role sits between AI Engineering, Solutions Engineering, and customer delivery. You’ll work directly with technical customer teams to scope, architect, and deploy production AI workflows while also contributing to the company’s core platform and reusable capabilities.
Key Responsibilities- Lead customer AI/data integrations from discovery through deployment
- Design and implement RAG, retrieval, and agentic AI workflows
- Build integrations around APIs, orchestration systems, and data pipelines
- Support deployment of LLM-powered systems into production environments
- Contribute to reusable platform capabilities and internal tooling
- Work closely with enterprise stakeholders and customer engineering teams
- Help architect solutions involving knowledge graphs, vector search, and cloud infrastructure
- Salary: £80k–£130k + equity/share options
- Working model: Fully remote (UK-based) with occasional travel
- Stack: Python, LLMs, RAG, Neo4j, vector databases, Spark, dbt, Airflow/Dagster/Prefect, cloud warehouses
- Sponsorship: Currently unavailable
Interested? Please apply below.
Forward Deployed Engineer - Biotech AI Start-up in Cambridge employer: Harnham
Join a pioneering biotech AI start-up that is at the forefront of transforming healthcare through innovative technology. As a Forward Deployed Engineer, you will be part of a dynamic, remote-first team dedicated to solving complex challenges in the pharmaceutical sector, with ample opportunities for professional growth and collaboration. Enjoy competitive compensation, equity options, and the chance to make a meaningful impact on global health outcomes while working with cutting-edge AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer - Biotech AI Start-up in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the biotech and AI sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there. You never know who might have a lead on that Forward Deployed Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to LLMs, data platforms, or any relevant AI integrations. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of AI workflows, cloud infrastructure, and APIs. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Forward Deployed Engineer - Biotech AI Start-up in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in AI engineering and platform architecture. We want to see how your skills align with the role, so don’t be shy about showcasing your work with LLMs and data platforms!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about working at a biotech AI start-up and how your background makes you a perfect fit for the Forward Deployed Engineer role. Let us know what drives you!
Showcase Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex problems, especially in production environments. We love seeing how you’ve made an impact in previous roles, particularly in healthcare or biotech settings.
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 on joining our remote-first team!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, LLMs, and Neo4j. Brush up on your knowledge of retrieval systems and cloud infrastructure, as these will likely come up during technical discussions.
✨Showcase Real-World Applications
Prepare to discuss specific projects where you've integrated AI into production workflows. Highlight any experience with customer deployments or working in biotech settings, as this will demonstrate your ability to operate at the intersection of AI Engineering and enterprise delivery.
✨Understand the Business Impact
Familiarise yourself with how AI is transforming the pharmaceutical industry. Be ready to articulate how your skills can help the company scale customer onboarding and solve complex scientific problems, showing that you understand the real-world impact of your work.
✨Engage with Questions
Prepare thoughtful questions about the company's platform and their approach to integrating AI technology. This not only shows your interest but also helps you gauge if the company aligns with your career goals and values.
