Senior AI Engineer - Scalable LLM Systems

Location

Remote, with expectation for attendance in the office for team meetings (approx. every two months)

Employment Type

Full-Time, Permanent

About Us

Are you interested in working with pioneers in the field of AI and software engineering? Are you interested in working with some of the world’s largest Pharmaceutical Companies?  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 a rapidly growing company producing ground-breaking products using the latestAIandLLM (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 experienced Senior AI Engineer with expertise in building scalable, production-grade systems and a passion for LLM technologies. 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 (particularly Django and FastAPI, though experience with other frameworks is valuable), cloud services (particularly AWS), and modern AI approaches including working with agentic architecture.

Key ResponsibilitiesBackend Development & Architecture

·      Design and implement scalable backend services using Python, with experience in Django, FastAPI, or similar frameworks

·      Architect and maintain production-grade, multi-tenant systems with a focus on security and performance

·      Develop RESTful and asynchronous APIs for internal and external consumption

·      Ensure database performance and reliability with relational and vector database technologies

Cloud & Infrastructure

·      Design and implement AWS-based cloud infrastructure using infrastructure-as-code approaches

·      Optimise system resources, cost, and performance in cloud environments

·      Implement robust monitoring, logging, and alerting systems

·      Maintain CI/CD pipelines for reliable deployment and testing

LLM, Agents & AI Integration

·      Design, build and maintain AI-driven information retrieval and generation workflows

·      Securely integrate and manage external and internal AI services

·      Develop advanced data matching and search solutions

·      Architect effective interaction frameworks and context-management strategies

·      Collaborate on extending core model capabilities and protocols

Data Engineering

·      Design and maintain data pipelines for efficient data processing

·      Ensure efficient data flow between systems and LLM components

·      Implement data validation, transformation, and enrichment processes

·      Optimise data storage and retrieval for AI/ML workloads

Security & Compliance

·      Implement security best practices in API development and backend systems

·      Design secure authentication and authorisation mechanisms

·      Ensure compliance with relevant regulations for pharmaceutical data

·      Conduct security reviews and implement mitigation strategies

Leadership & Collaboration

·      Collaborate with frontend engineers on UI/UX integration

·      Mentor junior developers and contribute to code reviews

·      Participate in architectural decisions and technical roadmap planning

·      Work cross-functionally with data scientists and product managers

Qualifications and SkillsRequired Skills and Experience

·      5+ years of Python backend development experience

·      Proficiency with Django, FastAPI, or similar Python web frameworks

·      Experience building and maintaining production-scale, multi-tenant applications

·      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

·      Strong understanding of software design principles and coding standards

Preferred Skills and Capabilities

·      Experience with vector databases and embedding models

·      Knowledge of data pipeline tools and ETL processes

·      Familiarity with React or other frontend technologies for better cross-team collaboration

·      Experience implementing LLM integration frameworks

·      Background in pharmaceutical or healthcare domain

·      Experience with real-time systems and event-driven architectures

·      Understanding of regulatory requirements in healthcare/pharmaceutical industries

·      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

Circuit Medical

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, taking calculated risks, 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.