AI Engineer
Hybrid
Full Time
#Artificial Intelligence
#Technology
#Python
#AI
#Engineering
#Knowledge Base
#Git
#CI CD
#Design
At Octopus, we are driven by a singular mission to accelerate the transition to a low-carbon future. We built our own technology platform, Kraken, from the ground up, and it now powers energy for over 70 million households. This success is rooted in our culture of hiring curious, self-driven individuals and providing them with the autonomy and modern infrastructure they need to thrive. Since 2022, we have been integrating generative AI into our live customer-facing systems to create high-quality communications and improve efficiency. Would you like to join a team that is actively using technology to change how the world consumes energy?
What you bring
We are looking for a Senior AI Engineer to join us on a full-time, hybrid basis in the United Kingdom. In this role, you will take ownership of the systems that allow our teams to leverage LLMs, RAG, and agentic workflows. You will be instrumental in building the platforms and shared services that scale our AI capabilities across the company. Your core responsibilities will include:
- Designing and developing scalable AI platform services that facilitate model usage and agent workflows.
- Building and maintaining robust knowledge retrieval systems, including database management and embedding strategies.
- Establishing frameworks for AI observability, including monitoring for quality, safety, latency, and cost.
Requirements
To be successful in this role, you should possess a deep understanding of Generative AI and have significant experience working with LLMs. We are looking for someone with a strong background in developing Python-based data products and machine learning systems. You should be comfortable with software development best practices, including Git, testing, and CI/CD frameworks. We value candidates who can thrive in a fast-moving environment, navigate ambiguity, and translate complex ideas into actionable plans. Proficiency in English is required, and experience with AI model evaluation, context engineering, and knowledge grounding will be essential to your success.
What we offer
We are committed to providing a supportive environment where you can do your best work. We believe in transparency and flexibility regarding compensation, so we discuss salary details directly during the recruitment process to ensure we find the right fit for your experience. Beyond the work itself, we offer the following:
- Hybrid work arrangements to support your work-life balance.
- A unique, award-winning company culture that prioritizes autonomy and rapid decision-making.
- Access to a wide range of employee benefits designed to support your personal and professional well-being.
How to Apply
If this opportunity excites you, we would love to hear from you. We encourage you to apply even if you do not meet every single requirement, as we value diverse perspectives and unique skills. If you require any specific accommodations to make our interview process more comfortable or accessible, please let us know. We are an equal opportunity employer and are committed to creating an inclusive environment for everyone. We look forward to reviewing your application.