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 a chance to impact global health.
- Other info: Remote-first culture with opportunities for travel and collaboration with global clients.
- Why this job: Join a dynamic team solving real-world problems at the forefront of AI and biotech.
- Qualifications: Experience in AI engineering, data platforms, and strong problem-solving skills.
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 Portsmouth 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 industry, with ample opportunities for professional growth and collaboration on impactful projects. Enjoy a competitive salary, equity options, and the flexibility of a fully remote working environment, all while contributing to meaningful advancements in AI and biomedical research.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer - Biotech AI Start-up in Portsmouth
✨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 and learn about potential job openings.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository that highlights your projects related to LLMs, data platforms, or any relevant tech. This gives you a tangible way to demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios specific to AI engineering and biotech. We recommend doing mock interviews with friends or using online platforms to build your confidence.
✨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 Portsmouth
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. Be genuine and let your passion for the field come through.
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, so share those success stories!
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 you’re keen on joining our 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 RAG workflows and vector databases, as these will likely come up during technical discussions.
✨Showcase Real-World Applications
Prepare to discuss specific projects where you've integrated AI systems or built data platforms. Highlight how your work has impacted real customer environments, especially in biotech or pharmaceutical contexts, to demonstrate your relevance to the role.
✨Understand Customer Needs
Since this role involves working closely with enterprise stakeholders, be ready to talk about how you approach understanding customer requirements. Think of examples where you’ve successfully scoped and delivered solutions that met client expectations.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects, challenges they face in deploying AI systems, and their vision for the future. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
