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For Companies At a Glance
- Tasks: Build AI systems that revolutionise pharma research and automate workflows.
- Company: Join a leading consultancy working with a global pharmaceutical giant.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by deploying cutting-edge AI solutions.
- Qualifications: 1-2 years of production experience with LLM systems and strong Python skills.
- Other info: Be part of a dynamic AI team within a large multinational organisation.
The predicted salary is between 50000 - 80000 £ per year.
Applied AI engineering role with a large consultancy working on projects for a global pharmaceutical company automating R&D workflows using LLMs.
The Role
You will be building production-grade AI systems that analyse clinical trial data and accelerate pharma research workflows. This is engineering work using foundation models from OpenAI and Anthropic - not research or model development. You will work within a 15-20 person AI team, owning specific features within larger AI systems. The work is fast-paced and focused on solutions that actually get deployed and used.
What You Need
- Production experience is critical. We are looking for people who have actually shipped LLM-based systems to users, not just built proofs of concept.
- 1-2 years building LLM solutions deployed to production
- Strong Python coding skills
- Experience with LLM orchestration frameworks (LangChain, LangGraph, Crew AI, or similar)
- Knowledge of cloud infrastructure
- Understanding of how to build reliable systems that handle non-deterministic outputs
- Experience working in agile teams within larger organisations
- Good communication and task management skills
They are looking for AI Engineers / LLM Engineers who have built production AI systems and demonstrate this through your projects or work experience.
The Package
- Salary: £50,000 - £80,000 + benefits
- Location: Central London (near St Paul's)
- Hybrid: 2-3 days per week in office
- Start date: Early February / ASAP
The Environment
You will be part of a 10,000+ person multinational organisation with a focused AI team. The role requires understanding how to work collaboratively on features within a bigger system, following good software development practices while thinking about resilience and reliability.
Interview Process
Expect 2-3 rounds covering your experience, technical ability through case studies, and team fit. If you have deployed LLM systems to production and know how to build reliable AI solutions, we would like to hear from you.
LLM Engineer | Pharma R&D | Central London | £70-80K in City of London employer: Avanti Recruitment
Contact Detail:
Avanti Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LLM Engineer | Pharma R&D | Central London | £70-80K in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and pharma sectors. Attend meetups or webinars where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM projects. Include details about the systems you've built and how they’ve made an impact. This will help us see your hands-on experience and get you noticed.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects in detail. Practice common interview questions related to LLMs and agile methodologies to show you’re the right fit.
✨Tip Number 4
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 take the initiative to apply directly!
We think you need these skills to ace LLM Engineer | Pharma R&D | Central London | £70-80K in City of London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your production experience with LLM systems. We want to see how you've shipped solutions that users actually rely on, so don’t hold back on those details!
Tailor Your Application: Customise your CV and cover letter to match the job description. Use keywords from the listing, especially around Python skills and LLM orchestration frameworks, to show us you’re a perfect fit.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your skills and experiences relevant to the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our AI team.
How to prepare for a job interview at Avanti Recruitment
✨Showcase Your Production Experience
Make sure to highlight your hands-on experience with deploying LLM solutions. Prepare specific examples of projects where you've successfully shipped AI systems, focusing on the impact they had on workflows or processes.
✨Brush Up on Technical Skills
Since this role requires strong Python skills and familiarity with LLM orchestration frameworks, review your knowledge in these areas. Be ready to discuss how you've used tools like LangChain or similar in your previous work.
✨Demonstrate Team Collaboration
This position involves working within a larger AI team, so be prepared to talk about your experience in agile environments. Share examples of how you've collaborated on features and contributed to team success.
✨Communicate Clearly and Confidently
Good communication is key in this role. Practice explaining complex technical concepts in simple terms, as you may need to convey your ideas to non-technical stakeholders during the interview.
