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 Colchester 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 Colchester
✨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. You never know who might have a lead on that perfect 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 AI workflows. This gives 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 APIs, orchestration systems, and cloud infrastructure. Practice explaining complex concepts simply, 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 Colchester
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 you can contribute to our mission. Keep it engaging and personal – we love to see your passion!
Showcase Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex problems, especially in production environments. We’re looking for those who can operate at the intersection of AI Engineering and customer delivery, so let us know how you’ve done this before!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own channels!
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 and how your solutions made a tangible impact, especially in biotech or pharmaceutical contexts.
✨Understand the Customer's Needs
Research the company’s clients and their challenges. Be ready to talk about how you can help enterprise customers integrate AI solutions effectively. This shows that you’re not just technically skilled but also customer-focused.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's platform and future direction. Inquire about their approach to scaling customer onboarding or how they handle complex scientific problems. This demonstrates your genuine interest in the role and the company.
