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For Companies At a Glance
- Tasks: Build AI systems that analyse clinical trial data and enhance pharma research workflows.
- Company: Join a large consultancy working with a global pharmaceutical leader.
- Benefits: Competitive salary, hybrid work model, and great career development opportunities.
- Why this job: Make a real impact in healthcare by deploying cutting-edge AI solutions.
- Qualifications: 1-2 years of production experience with LLM solutions and strong Python skills.
- Other info: Be part of a dynamic AI team within a multinational organisation.
Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below.
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 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
✨Tip Number 1
Get your networking game on! Connect with folks in the industry, especially those already working in pharma R&D or AI. Attend meetups, webinars, or even just reach out on LinkedIn. You never know who might have a lead on that perfect LLM Engineer role!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your production-grade LLM projects. Highlight how you’ve tackled real-world problems and the impact of your work. This will make you stand out when chatting with potential employers.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your Python skills and familiarising yourself with LLM orchestration frameworks. Mock interviews can help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure your CV is tailored to highlight your experience with deploying LLM systems and your ability to work in agile teams.
We think you need these skills to ace LLM Engineer | Pharma R&D | Central London | £70-80k
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your production experience with LLM solutions. We want to see specific projects where you've shipped systems, so don’t hold back on the details!
Showcase Your Skills: In your application, emphasise your strong Python coding skills and any experience with orchestration frameworks like LangChain or Crew AI. We’re looking for those technical chops that make you stand out!
Communicate Clearly: Good communication is key! When writing your application, be clear and concise about your experiences and how they relate to the role. We appreciate straightforwardness and clarity.
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 it gets into the right hands quickly. We can’t wait to hear from you!
How to prepare for a job interview at Avanti Recruitment
✨Know Your Stuff
Make sure you brush up on your production experience with LLM solutions. Be ready to discuss specific projects where you've deployed these systems, highlighting the challenges you faced and how you overcame them.
✨Showcase Your Technical Skills
Prepare to demonstrate your Python coding skills and familiarity with orchestration frameworks like LangChain or Crew AI. You might be asked to solve a technical problem on the spot, so practice coding challenges related to LLMs beforehand.
✨Understand the Environment
Familiarise yourself with the pharmaceutical R&D landscape and how AI is transforming it. Being able to speak knowledgeably about the industry will show that you're not just technically proficient but also understand the bigger picture.
✨Team Player Mindset
Since you'll be working in an agile team, be prepared to discuss your collaboration experiences. Share examples of how you've effectively communicated and managed tasks within a team setting, as this will be crucial for fitting into their culture.
