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For Companies At a Glance
- Tasks: Develop innovative AI solutions for leading pharmaceutical companies and transform healthcare.
- Company: Join Circuit Medical, a pioneering consultancy in the biopharmaceutical industry.
- Benefits: Enjoy competitive salary, flexible hours, remote work, and professional growth opportunities.
- Why this job: Make a real impact with cutting-edge AI technologies in a collaborative environment.
- Qualifications: 5+ years of Python backend experience and strong knowledge of LLMs and cloud services.
- Other info: Be part of an inclusive team that values diverse backgrounds and perspectives.
The predicted salary is between 48000 - 84000 £ per year.
The Essentials
- Location: Remote UK, with expectation for attendance in the office for team meetings (approx. every two months)
- Employment Type: Full-Time, Permanent
The Opportunity
Are you interested in making a difference by developing products used by the world’s largest Pharmaceutical Companies? Are you interested in working with pioneers in the field of AI and software engineering? Are you interested in innovating for impact? If you are then read on for a role with a difference where you can join our inspiring team and make a big difference with class-leading solutions. We are expanding and looking for an AI Engineer to join our team developing ground-breaking products using the latest AI and LLM (Large Language Model) agentic technologies. Our innovative solutions are transforming the industry, and we are looking for passionate individuals to join us in our mission to revolutionise healthcare in a role with a difference.
Job Description
We are seeking an AI Engineer with expertise in building scalable, production-grade systems and a passion for AI/LLM technologies and innovation. You will design, develop, and maintain our platform’s backend infrastructure, focusing on multi-tenant architectures, security, and efficient LLM integration. This role requires a strong understanding of Python web frameworks, cloud services (particularly AWS), and modern AI approaches including working with agentic architecture.
Key Responsibilities
- Backend Development & Architecture: Design and implement scalable Python backend services, architect and maintain secure, high-performance, production multi-tenant systems, and develop RESTful and asynchronous APIs for internal and external use.
- LLM, Agents & AI Integration: Drive R&D innovation to meet client goals by building AI agentic workflows, advanced search, robust interaction and context management, and extending core model capabilities and protocols.
- Leadership & Collaboration: Collaborate on UI/UX integration, code reviews, architecture and roadmap decisions, and cross-functional work with data science, product, and commercial teams.
- Data Engineering: Design and maintain efficient data pipelines, ensuring smooth data flow between systems and LLM components while implementing robust validation, transformation, and enrichment processes.
- Cloud & Infrastructure: Design and implement AWS-based cloud infrastructure using infrastructure-as-code approaches and maintain CI/CD pipelines for reliable deployment and testing.
- Security & Compliance: Operate to the highest security standards as expected by ISO27001.
Qualifications and Skills
Required Skills and Experience:
- 5+ years of Python backend development experience (fewer years’ experience is acceptable for exceptional candidates)
- Strong experience of using LLMs/AI in a production setting and use of the latest techniques working with LLMs
- Strong knowledge of cloud services (preferably AWS) and infrastructure-as-code
- Experience with containerisation, orchestration, and CI/CD pipelines
- Understanding of database scaling, caching strategies, and performance optimisation
- Familiarity with LLM technologies and latest utilisation methodologies, including agentic workflows
- Strong understanding of software design principles and coding standards
Preferred Skills and Capabilities:
- Familiarity with React or other frontend technologies for better cross-team collaboration
- Experience implementing LLM integration frameworks
- Background in pharmaceutical or healthcare domain
- Familiarity of working to ISMS ISO27001 standards
- Growth mindset combined with tenacity
- Entrepreneurial approach driven by curiosity and innovation
- Deep customer centricity
What We Offer
- Competitive salary and benefits
- Opportunities for professional growth
- Flexible work hours and remote work
- Collaborative, inclusive work environment
- Chance to work on cutting-edge AI technologies with real-world impact
Selection process
- Screening interview with HR
- Introductory interview with hiring manager/technical exercise
- Capability interview with CEO/team members
Circuit Medical is a well-established, research-driven global consultancy that specialises in delivering comprehensive services to maximise the value of medical affairs and other functions to the biopharmaceutical industry. We proudly support leading global pharmaceutical companies such as AstraZeneca, Roche, Takeda, and many others. As we expand our digital offerings, we are building a suite of products aimed at enhancing quality, efficiency and performance for our clients and ultimately help patient care. Circuit Medical excels by being different, curious, innovative, working with ambiguity, being collaborative, communicative, all for the greater good and always delivering to a high quality. Circuit Medical welcomes everyone and creates inclusive teams where we celebrate different backgrounds, experiences, and perspectives. We encourage colleagues to bring their whole selves to work. We provide equal employment opportunities to applicants and employees without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, or disability. We promote a culture of trust, support, and acceptance.
Senior AI Engineer in Chester employer: Circuit Medical
Contact Detail:
Circuit Medical Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in Chester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their products, and be ready to discuss how your skills align with their mission. Practise common interview questions and think about how you can showcase your experience with AI and LLM technologies.
✨Tip Number 3
Showcase your passion! During interviews, share your enthusiasm for AI and how you’ve used it to solve real-world problems. Talk about projects you’ve worked on that demonstrate your skills in Python and cloud services, especially AWS.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Circuit Medical.
We think you need these skills to ace Senior AI Engineer in Chester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior AI Engineer role. Highlight your Python backend development experience and any work with LLMs or AI technologies to grab our attention!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how you can contribute to our mission. Share specific examples of your past projects that align with what we do at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate how you've used them to solve real-world problems. We love seeing how candidates have tackled challenges in their previous roles!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Circuit Medical
✨Know Your AI Stuff
Make sure you brush up on the latest AI and LLM technologies. Be ready to discuss your experience with Python backend development and how you've integrated AI solutions in production settings. This is your chance to show off your expertise!
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in backend architecture or data engineering. Think about times when you designed scalable systems or improved performance – these stories will highlight your innovative mindset.
✨Familiarise Yourself with Their Tech Stack
Get to know the tools and technologies mentioned in the job description, especially AWS and infrastructure-as-code. If you have experience with containerisation and CI/CD pipelines, be ready to discuss how you've used them effectively in past projects.
✨Emphasise Collaboration and Leadership
Since this role involves working closely with cross-functional teams, think about how you've collaborated with others in the past. Be prepared to talk about your leadership style and how you contribute to a positive team environment.
