Senior Software Engineer - AI Solutions
We're making energy fair, clean, and simple for all using technology.
Octopus Energy started with a bold idea: to build Britain’s first truly digital energy supplier. By combining world-class tech with brilliant humans who care deeply about customers and driving the renewable energy transition, we made it happen and in 2025, we became Britain’s largest energy supplier.
Octopus Energy Group is a global energy transition collective. 10 businesses working across 4 continents to tackle energy transformation at nearly every front.
And we constantly push to make energy better. Tirelessly campaigning for fair protections for customers. And building innovative technologies that forge a path to a green energy system.
We’re made up of 10,000+ authentic, committed people working around the world on stuff you'd never expect. We're united by a shared goal: to drive the global green energy revolution. Read our Spotlight series to meet some of the team.
We’re looking for a Senior Software Engineer to join as a founding member of our new AI team.
You’ll help Octopus move past ad-hoc, "vibe-coded" AI experiments and build a safe, scalable, and lightweight AI capability from the ground up.
In this role you will help build our central developer tools and production gates, work directly with business teams such as Software Engineering, Operations, Services, and Finance to co-build live features and accelerate local teams.
What you'll do
Embed temporarily within cross-functional business teams (e.g. Services, Ops, Finance) to co-build high-impact AI features directly inside their domain codebases and smooth out day-to-day bottlenecks
Design and build internal developer tools, standard templates, and pipeline gates (security, technical standards, tone, and performance checks) in Python to simplify how teams across Octopus safely integrate AI into their software
Establish clear guardrails, security standards, and production pathways to turn quick, hacky AI prototypes into secure, scalable, and well-architected systems
Engage directly with both technical and non-technical stakeholders across business units to help map out fuzzy operational problems, understand pain points, and design practical AI-augmented workflows
Collaborate closely with the Data team to ensure data flows securely and effectively into front-facing AI tools and applications
Provide hands-on pairing, mentorship, and technical guidance to local teams during embedded rotations, ensuring they can independently maintain and expand the technology built together post-handoff
Gather insights from on-the-ground embedded deployments to feed real-world requirements back into our central prototyping tools, patterns, and frameworks
What you'll need
A strong technical background in backend engineering (with deep fluency in Python/Django), a solid understanding of system design, and a genuine interest in Developer Experience (DX) and system reliability
Hands-on familiarity and curiosity with modern AI toolchains, LLM integrations, retrieval patterns, and rapid prototyping frameworks, alongside the ability to audit AI-generated code
Strong stakeholder management and communication skills, with a proven ability to collaborate effectively across both deeply technical tech teams and non-technical business partners
A pragmatic builder mindset that prioritises shipping fast, practical value to solve immediate operational friction over over-engineering complex architectures
Excellent collaborative and coaching skills, with demonstrated experience in pair programming, mentoring, or elevating team capability, combined with high accountability and a low-ego approach to handing off projects
Comfort working in a fast-paced, high-autonomy environment where you can navigate context-switching between projects and help shape workflows from the ground up