AI Engineer (AIX)

Role OVO-View

Team: AIX

Experience: Mid-Level

Working pattern: Full-Time

Reporting to: Delivery & Growth Lead

Where you’ll work

Depending on the needs of your business area, we expect hub based people to be in the office at least once a week, and to go to OVO Connection events in-person. You’ll be assigned to the closest one of our three hub offices, Bristol, Glasgow, or London; unless your role requires field-based work. Each hub has accessible spaces to park your laptop, is designed to inspire people, help them connect and bring big ideas to life.

Teamworking for the planet

We are building AI solutions in production, at scale. Our mission is to put AI at the heart of OVO’s operations. We are using AI to drive hyper-personalised experiences, and to help our advisors to spend time with customers who need them the most. Whether we are tackling climate change or another complex challenge, we aim to make a difference. Be part of this transformative journey with us.

This role in a nutshell

As an AI Engineer in our team, your role will be instrumental in developing and scaling our contact centre AI solution. You will work as an AI Engineer in a cross functional team. Your expertise will drive the delivery of innovative AI-powered features, ensuring OVO Energy remains a leader in providing seamless and tailored experiences for our customers. This role is an opportunity to leverage AI for a sustainable future while pushing the boundaries of technology. These features could be chatbots to advisor support inferences.

Your key outcomes will be

• Working closely within a cross-functional product team of Data Scientists, Software Engineers, and Data Engineers to build and scale our contact centre AI solution as the dedicated AI Engineer.
• Building Agentic AI solutions in production. Developing and maintaining the training, evaluation, deployment and operations of AI Agents. This includes tool calling, Retrieval-Augmented Generation (RAG), fine-tuning, and other usage of large language models (LLMs).
• Work with data scientists to design and implement feedback loops, online and offline evaluation methods, and A/B testing for continuous model improvement.
• Own the observability, cost management, performance, training, and evaluation of models to ensure reliable and efficient deployments.
• Bring AI expertise to shape our target architecture, design pipelines and help define robust development processes.

Systems

GCP (BigQuery, Cloud Composer, DataForm, VertexAI, etc), GitHub, Python (Langchain, Langgraph, FastAPI)

You’ll be a successful AI Engineer at OVO if you…

• Demonstrated experience with deploying production-grade AI inferences with rigorous standards for scalability, reliability, and monitoring.
• Experience in repeatable cloud infrastructure provisioning, configuration management across the AIOps architecture (including CI/CD pipelines) and database systems.
• Fluency in Python, SQL and Terraform.
• Strong understanding of software testing and continuous integration.
• Proven ability to deliver high-quality data and software engineering projects end-to-end, translating into true commercial impact within a business.
• Excellent presentation and communication skills - able to articulate results clearly and concisely to senior stakeholders.
• Ability to consult with, and sometimes challenge, teams of differing levels of data engineering knowledge.
• Background in software engineering with experience working as a dedicated AI Engineer in a collaborative team.
• Have proficiency with modern AI frameworks.

You’ll stand out if you have

• Experience within the energy sector or contact centre operations.
• Commercial experience deploying and monitoring customer-facing Generative AI models (LLMs).
• Familiarity with Agentic AI for autonomous applications.