Agentic AI Software Engineer

Agentic AI Software Engineer

Contract: 6-10 Months
Location: London (Hybrid)
Working Pattern: 2-3 Days Onsite per Week
IR35 Status: Inside IR35

Overview

We are looking for an experienced Agentic AI Software Engineer to join a high-profile technology programme focused on enabling scalable AI and machine learning capabilities across the enterprise.

You will design, build and operate the scalable cloud infrastructure and services, and serving of models that 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 on modern cloud technology and the vast biomedical data sources available to us.

In this role the Agentic AI Software Engineer will be responsible for:

• Design, build and operate scalable infrastructure and services that support 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

Required Skills & Experience for the Agentic AI Software Engineer:

• 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.
• 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.
• 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.

Desirable Experience for the Agentic AI Software Engineer:

• 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) is highly desirable but not essential.

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.