At a Glance
- Tasks: Deploy advanced AI systems in real-world environments and lead technical delivery for enterprise customers.
- Company: Innovative BioTech startup revolutionising drug discovery with cutting-edge data science products.
- Benefits: Competitive salary, fully remote work, flexibility, and opportunities for professional growth.
- Other info: Collaborate with top-tier clients and contribute to groundbreaking AI solutions.
- Why this job: Make a real impact on high-stakes AI projects that shape the future of healthcare.
- Qualifications: Experience in deploying NLP or LLM systems 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 - Fully Remote employer: Harnham
As a fully remote BioTech startup, we offer an exceptional work environment that fosters innovation and collaboration in the field of AI and data science. Our culture prioritises flexibility and autonomy, allowing you to thrive while working on impactful projects that drive drug discovery forward. With strong opportunities for professional growth and the chance to engage directly with leading enterprise customers, you'll find meaningful and rewarding employment here.
StudySmarter Expert Advice🤫
We think this is how you could land AI Programmer - Fully Remote
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with potential colleagues 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 related to NLP, knowledge graphs, or LLMs. This will give you an edge when chatting with potential employers and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI systems. 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! We love seeing candidates who are genuinely interested in our mission. Tailor your application to highlight your relevant experience and how you can contribute to our cutting-edge AI products.
We think you need these skills to ace AI Programmer - Fully Remote
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Programmer role. Highlight your experience with NLP, LLMs, and any relevant projects that showcase your skills in deploying AI systems in real-world settings.
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 you've worked with.
Showcase Your Technical Skills:In your application, don't shy away from showcasing your technical skills. Mention your hands-on experience with retrieval augmented generation, vector databases, and any other relevant tools or platforms that make you a great fit for the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, we love seeing applications come in through our own platform!
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 Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in deploying AI systems. Think about times when you had to debug or optimise workflows, and be ready to explain your thought process and the outcomes. This will demonstrate your hands-on experience and engineering mindset.
✨Understand the Customer Perspective
Since this role involves working closely with customers, it’s crucial to show that you can communicate technical concepts clearly. Practice explaining complex ideas in simple terms, and think of examples where you’ve successfully collaborated with non-technical stakeholders.
✨Be Ready for Technical Scoping Discussions
Familiarise yourself with the concept of technical scoping and be prepared to discuss how you would approach shaping feasible and scalable solutions for enterprise customers. Think about how you would assess their environments and what factors you’d consider in your designs.
