Allegis Global Solutions
Agentic Software Engineer
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Job title: Agentic Software Engineer
Location: Stanley Building, London
Overview
GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together.
At GSK, we are actively working on building a future in which state-of-the-art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This ambitious mission requires scalable, cloud-native solutions at the forefront of Software Engineering, Cloud Infrastructure, Efficient Compute, Machine Learning and AI. If this excites you, we would love to chat.
Role Overview
To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production-grade, data-driven software solutions. This person will design, build and operate the scalable cloud infrastructure and services — including the serving of our models — that our AI systems and agentic applications run on, and you will be accountable for keeping them reliable in production. This is hands-on software and platform engineering: building robust, well-tested, high-performance systems that scientists across GSK depend on every day, on modern cloud technology and the vast biomedical data sources available to us.
The Team
The AI4S team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives.
Key Responsibilities
- Design, build and operate scalable infrastructure and services that support our AI models and agentic systems across the entire software development life cycle.
- Own the reliability of what you build — set up CI/CD and release processes, automated testing, monitoring and alerting, and lead the response when things break, so the systems scientists rely on stay dependable.
- Build and operate the model-serving infrastructure that exposes our models in production with efficient use of compute.
- Develop and maintain cloud-native architectures that enable reliable deployment and scaling of AI/ML workloads.
- Deliver robust, tested and high-performance code in an agile environment, and work closely with ML engineers and domain experts to make the infrastructure fit for purpose.
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Minimum Qualifications
We are looking for professionals with these required skills to achieve our goals:
- A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional software engineer.
- Demonstrated advanced programming expertise in Python and in developing and delivering robust, scalable software solutions using frameworks like FastAPI.
- Experience with cloud platforms (GCP, Azure) and cloud-native architectures.
- Passion for software design and commitment to the development of reusable, scalable, and testable software components.
- Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow).
- Knowledge of command-line tools and shell scripting.
- Knowledge of software engineering best practices, including continuous integration (CI) and continuous deployment (CD), containerization, and infrastructure as code.
- Strong problem-solving and debugging skills, and experience working in cluster settings or cloud-based environments.
- Experience operating production services — monitoring, observability and alerting, and diagnosing and resolving issues in live systems.
- Experience designing and administering SQL databases — schema design, query performance, and day-to-day operational management.
- Hands-on experience with Google Cloud Platform, in particular the services we build on: Cloud Run, Google Kubernetes Engine, Cloud Storage, Artifact Registry, Cloud SQL.
- Fluency in English.
Preferred Qualifications
If you have the following characteristics, it would be a plus:
- Familiarity with machine learning principles and state-of-the-art modelling approaches.
- Experience in design, development and deployment of commercial cloud-native software and infrastructure.
- Experience building and deploying large-scale AI models and agentic systems in production environments.
- Experience architecting, developing, and deploying distributed training pipelines for large models with PyTorch or TensorFlow.
- Expertise in performance optimization, cost optimization, and efficient compute resource management in cloud environments.
- Experience running production services at scale, including defining and working to service-level objectives (SLOs/SLIs).
- Experience with incident response and post-incident review, and with building the observability that supports it.
- Infrastructure-as-code (e.g. Terraform) for provisioning and maintaining cloud environments.
- Experience developing and administering workloads on Kubernetes (e.g. GKE).
- Familiarity with GCP networking and security controls — VPC, VPC Service Controls (VPC-SC), and private connectivity.
- Contributions to relevant open-source projects.
- Knowledge or interest in disease biology, molecular biology and medicine.
- Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images).
Why GSK?
Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).
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Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.
Inclusion at GSK
GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
If you need any adjustments in the recruitment process, please get in touch with our Recruitment team (EMEA-GSKLink@allegisglobalsolutions.com) to further discuss this today.
Important notice to employment businesses/agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.
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