GSK is looking to solve the problem of developing transformational medicines using the power of genetics, functional genomics, and machine learning, and to get ahead of disease in more predictive and powerful ways.
Requirements
- Python proficiency in writing well instrumented, tested, and maintainable code
- API design and developer experience focus (versioning, SDKs, docs) and ability to collaborate with ML/security/product teams
- Experience building platform for service-specific (e.g. Models, Agents, MCP services) lifecycle management involving development tools, CI/CD workflows, as well as API discovery, routing, authentication, observability
- Deep knowledge of integrating applications with LLMs and experience with an agent framework such as LangGraph
- Experience in operating production multi-tenant Vector DBs (e.g. Weaviate) and expertise with embedding/modeling best practices
- Experience with fine-tuning and/or optimized deployments of LLMs
- Experience with infrastructure-as-code and CI/CD tools (e.g. Terraform and Github Actions respectively)
Responsibilities
- Serve as a key engineer for the GenAI platform and contribute technical expertise to teams in closely aligned technical areas such as AIML Platform, DevOps, Compute and Cloud.
- Co-design major software components of the GenAI Platform and contribute to development of production code in Python and participate in both design reviews and PR reviews.
- Accountable for key component(s) of GenAI Platform with particular focus on usability, reproducibility and performance at scale
- Integrate with DataOps, and Data Engineering products for best performance and ease of use in ML training at scale
- Participate in scrum teams and contribute technical expertise to teams in closely aligned technical areas.
- Able to design innovative strategies and ways of working to create a better environment for the end users
- Standard bearers for proper ways of working and engineering discipline, including CI/CD best practices and proactively contribute to improvements within your engineering area.
Other
- Bachelor’s, Master’s or PhD degree in Computer Science, Software Engineering, or related discipline.
- 4+ years of software engineering experience building production systems
- Ability to work in a team and collaborate with others
- Strong communication and problem-solving skills
- Ability to work in a fast-paced environment and adapt to changing priorities
