Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of a conversational AI platform for bioinformatics and structural biology.
- Company: Join an innovative TechBio scaleup focused on developing novel cancer biologics.
- Benefits: Enjoy competitive salary, share options, private health, and access to cutting-edge resources.
- Why this job: Be part of a mission to democratise complex protein analysis through AI and natural language.
- Qualifications: 3+ years in AI/ML with expertise in LLMs, Python, and database design.
- Other info: Immediate start preferred; hybrid working model available.
The predicted salary is between 72000 - 108000 £ per year.
A one-off opportunity for a senior level AI engineer to join a seriously innovative TechBio scaleup (~30 people) developing novel cancer biologics. We are seeking an AI Engineer to lead the development of a conversational AI platform for structural biology and bioinformatics. This platform will democratize access to complex protein structure analysis through natural language interactions, integrating with existing databases and computational pipelines. The AI Engineer will have core expertise in AI, LLMs, NLP frameworks, together with a software focus (Python, APIs, SQL, cloud) including proven experience of delivering products to clients.
A flavour of the role:
- Platform Development
- Design and implement LLM-powered conversational interfaces for bioinformatics workflows
- Build function-calling systems that integrate Claude/OpenAI models with structural biology tools
- Develop context-aware chat systems that maintain conversation history across sessions
- Create modular, scalable architectures for bioinformatics data processing
- Bioinformatics Integration
- Integrate with protein structure databases (PDB, AlphaFold, custom TCR structures)
- Build APIs connecting LLMs to molecular visualization tools (PyMOL, ChimeraX, NGLView)
- Develop specialized functions for TCR-peptide-HLA interface analysis
- Create automated workflows for immune repertoire data processing
- Data Infrastructure Design
- PostgreSQL schemas for storing structural and sequence data
- Implement efficient data retrieval systems for large-scale protein datasets
- Build real-time data pipelines for immune repertoire analysis
- Optimize database performance for molecular structure queries
- User Experience
- Create intuitive chat interfaces using Streamlit or similar frameworks
- Develop specialized prompting strategies for bioinformatics use cases
Required Technical Skills:
- AI/ML Core
- 3+ years hands-on experience (predominantly industry gained) with LLMs (GPT, BERT, T5, Claude) and NLP frameworks
- Proficiency in prompt engineering, fine-tuning, and function-calling architectures
- Experience with Hugging Face, OpenAI APIs, and transformer libraries
- Understanding of model customization for domain-specific tasks
- Experience with RAG systems
- Knowledge of optimization techniques for reducing LLM latency and computational costs
- Software Engineering & Architecture
- Strong Python development skills (pandas, numpy, scikit-learn, PyTorch/TensorFlow)
- Experience with web frameworks (Streamlit, FastAPI, or Flask) and frontend technologies
- Database design and optimization (PostgreSQL preferred) for large protein datasets
- API development and integration, especially for interfacing LLMs with external systems
- Microservices architecture and containerization (Docker, Kubernetes)
- Version control, CI/CD pipelines, and automated testing practices
- Understanding of software design patterns for scalable, maintainable LLM applications
- Cloud & DevOps
- Experience with cloud computing platforms (AWS, GCP, Azure) and big data technologies
- Familiarity with DevOps practices and deployment of ML applications
- Bioinformatics & domain knowledge is strongly advantageous, though is NOT a pre-requisite.
Benefits:
In addition to a competitive salary, share options, private health, you will enjoy access to state-of-the-art computational resources and cutting-edge biological datasets; latest bioinformatics software, LLM frameworks, and protein modelling tools; the opportunity to work with novel therapeutic targets and protein engineering challenges. This is an urgent requirement. Immediate availability or availability to start inside 4 weeks preferred.
AI Architect - Chatbot, NLP, LLMs, Python, APIs, TechBio in Didcot employer: Richard Wheeler Associates
Contact Detail:
Richard Wheeler Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect - Chatbot, NLP, LLMs, Python, APIs, TechBio in Didcot
✨Tip Number 1
Familiarise yourself with the specific AI and NLP frameworks mentioned in the job description, such as GPT, BERT, and Claude. Being able to discuss your hands-on experience with these technologies during an interview will demonstrate your suitability for the role.
✨Tip Number 2
Showcase any projects or contributions you've made that involve building conversational AI systems or integrating APIs. Having concrete examples ready can help you stand out and illustrate your practical skills.
✨Tip Number 3
Network with professionals in the TechBio and AI fields, especially those who have experience in bioinformatics. Engaging with this community can provide insights into the industry and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss how you would approach designing scalable architectures for bioinformatics data processing. This shows your understanding of the technical challenges and your ability to think critically about solutions.
We think you need these skills to ace AI Architect - Chatbot, NLP, LLMs, Python, APIs, TechBio in Didcot
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI, LLMs, and NLP frameworks. Include specific projects or roles where you've used Python, APIs, and SQL, as these are crucial for the position.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and bioinformatics. Mention how your skills align with the company's mission to democratise access to protein structure analysis through conversational AI.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving conversational interfaces or bioinformatics, be sure to include them in your application. Highlight your role and the impact of your work.
Highlight Soft Skills: While technical skills are essential, don't forget to mention your soft skills. Emphasise your ability to work in a team, communicate complex ideas clearly, and adapt to new challenges, as these are important in a collaborative environment.
How to prepare for a job interview at Richard Wheeler Associates
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with LLMs, NLP frameworks, and Python. Highlight specific projects where you've successfully implemented these technologies, especially in bioinformatics or related fields.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Practice explaining your thought process when tackling complex problems, particularly those related to conversational AI and data integration.
✨Familiarise Yourself with the Company’s Mission
Research the TechBio scaleup's focus on cancer biologics and their innovative approach. Be ready to discuss how your skills can contribute to their mission of democratizing access to protein structure analysis.
✨Prepare Questions About the Role
Think of insightful questions regarding the development of the conversational AI platform and its integration with existing databases. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
