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- 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-driven team transforming complex protein analysis through AI technology.
- Qualifications: 3+ years in AI/ML with expertise in LLMs, NLP, Python, and API development.
- Other info: Hybrid working model with immediate start preferred.
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're seeking an AI Engineer to lead 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 Scaleup 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 Scaleup
✨Tip Number 1
Familiarise yourself with the latest advancements in AI, particularly in LLMs and NLP frameworks. Being able to discuss recent developments or breakthroughs during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Showcase your experience with Python and relevant libraries by preparing examples of past projects. Be ready to explain how you used these tools to solve complex problems, especially in bioinformatics or related areas.
✨Tip Number 3
Network with professionals in the TechBio space, especially those working on AI applications in biology. Engaging in discussions or attending meetups can provide insights into the industry and may even lead to referrals.
✨Tip Number 4
Prepare to discuss your approach to building scalable architectures and optimising database performance. Having a clear strategy for these aspects will show that you understand the technical challenges of the role.
We think you need these skills to ace AI Architect - Chatbot, NLP, LLMs, Python, APIs, TechBio Scaleup
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, SQL, and APIs, 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 chat interfaces or bioinformatics, be sure to include them in your application. Highlight your role and the impact of your work.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops related to AI, machine learning, or bioinformatics. This shows your commitment to staying updated in a rapidly evolving field.
How to prepare for a job interview at Richard Wheeler Associates
✨Showcase Your Technical Skills
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 Abilities
Expect to face technical challenges during the interview. Practice explaining your thought process when tackling complex problems, particularly those related to AI architecture and data integration.
✨Familiarise Yourself with the Company’s Mission
Research the TechBio scaleup's focus on cancer biologics and how your role as an AI Architect can contribute to their goals. Showing genuine interest in their mission can set you apart from other candidates.
✨Prepare Questions for the Interviewers
Have insightful questions ready about the team dynamics, project timelines, and the technologies they use. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
