At a Glance
- Tasks: Deploy advanced AI systems in real-world environments and lead technical delivery for enterprise customers.
- Company: Innovative BioTech startup focused on data science for drug discovery.
- Benefits: Competitive salary, fully remote work, flexibility, and autonomy.
- Other info: Join a dynamic team with opportunities for growth and collaboration.
- Why this job: Make a real impact with cutting-edge AI technology in the pharmaceutical industry.
- Qualifications: Experience with NLP, LLMs, and strong engineering skills.
The predicted salary is between 90000 - 130000 £ per year.
If you enjoy taking advanced AI systems out of the lab and into real-world enterprise environments, this role gives you the chance to do exactly that. You will work directly with highly technical customers, shaping how cutting edge NLP, knowledge graph, and LLM technology is deployed at scale, while still remaining deeply hands-on as an engineer.
They are a BioTech startup organisation building data science products that support faster and more informed drug discovery. Their platform processes vast volumes of scientific literature and structures it into high value, production-ready datasets used by global pharmaceutical organisations.
You will lead technical delivery for enterprise customers, owning implementations from initial trials through to production deployments. You will work closely with customer engineering and data science teams to understand their environments and design robust AI driven integrations. You will contribute to technical scoping during pre-sales, helping shape feasible and scalable solutions. Alongside customer work, you will contribute directly to internal platform and engineering initiatives.
- Strong commercial experience deploying NLP or LLM powered systems into production environments.
- Hands-on experience with retrieval augmented generation, vector databases, and retrieval or recommendation systems.
- Practical experience building, debugging, and operating end to end LLM workflows.
- A solid engineering mindset with comfort working across data platforms, APIs, and cloud infrastructure.
- Exposure to graph databases and modern data warehouses is highly beneficial.
- Confidence working in customer facing settings, explaining technical trade-offs and collaborating across technical and commercial stakeholders.
Base salary between £90,000 and £130,000, depending on experience + benefits. Fully remote working with flexibility and autonomy. The opportunity to work on high impact AI products used by leading enterprise customers.
AI Programmer - Remote Working employer: Harnham
As a BioTech startup, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to make a real impact in the field of drug discovery. With fully remote working options, we offer flexibility and autonomy, alongside competitive salaries and benefits, ensuring our team members can thrive both personally and professionally. Join us to collaborate with leading enterprise customers and contribute to cutting-edge AI solutions that are transforming the pharmaceutical landscape.
StudySmarter Expert Advice🤫
We think this is how you could land AI Programmer - Remote Working
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to NLP, knowledge graphs, or LLMs. This gives us a chance to see your hands-on experience and how you tackle real-world problems.
✨Tip Number 3
Prepare for those interviews! Research common questions related to AI programming and be ready to discuss your past experiences. We want to hear about your technical delivery and how you've collaborated with customers to implement solutions.
✨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 and take the initiative to reach out directly.
We think you need these skills to ace AI Programmer - Remote Working
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with NLP, LLMs, and any relevant projects you've worked on. We want to see how you can bring your unique expertise to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Be sure to mention specific technologies or projects that excite you.
Showcase Your Technical Skills:In your application, don't shy away from detailing your technical skills. Whether it's your hands-on experience with retrieval augmented generation or your comfort with cloud infrastructure, we want to know what you bring to the table!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your talents. Plus, it’s super easy!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like NLP, knowledge graphs, and LLMs. Brush up on your experience with retrieval augmented generation and vector databases, as you’ll likely be asked to discuss how you've implemented these in past projects.
✨Showcase Real-World Applications
Prepare examples of how you've taken advanced AI systems from concept to deployment in real-world settings. Be ready to explain your role in these projects, especially how you collaborated with technical teams and shaped solutions for enterprise customers.
✨Communicate Clearly and Confidently
Since this role involves customer-facing interactions, practice explaining complex technical concepts in simple terms. Think about how you would describe technical trade-offs to non-technical stakeholders, as this will demonstrate your ability to bridge the gap between tech and business.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects and future goals. This shows your genuine interest in their work and helps you understand how you can contribute to their mission of supporting drug discovery through AI.
