Senior Software Engineer - AI Solutions

Salary: £25,000 - 65,000 per year

Requirements:

• Strong technical background in backend engineering with deep fluency in Python/Django
• Solid understanding of system design
• 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
• Ability to audit AI-generated code
• Strong stakeholder management and communication skills
• Proven ability to collaborate effectively across technical teams and non-technical business partners
• Pragmatic builder mindset that prioritises shipping fast, practical value over over-engineering complex architectures
• Excellent collaborative and coaching skills
• Demonstrated experience in pair programming, mentoring, or elevating team capability
• High accountability and a low-ego approach to handing off projects
• Comfort working in a fast-paced, high-autonomy environment
• Ability to navigate context-switching between projects and help shape workflows from the ground up

Responsibilities:

• Embed temporarily within cross-functional business teams 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 in Python to simplify how teams safely integrate AI into their software
• Establish clear guardrails, security standards, and production pathways to turn quick AI prototypes into secure, scalable, and well-architected systems
• Engage directly with technical and non-technical stakeholders across business units to map out 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 so they can independently maintain and expand the technology after handoff
• Gather insights from embedded deployments to feed real-world requirements back into central prototyping tools, patterns, and frameworks

Technologies:

• AI
• Backend
• Django
• Embedded
• LLM
• Python
• Security
• LESS

More:

We are Octopus Energy Engineering, based in London and working in a hybrid setup as part of Octopus Energy Group. We are building energy that is fair, clean, and simple for all using technology, and we have grown into Britains largest energy supplier. We are a global energy transition collective with 10 businesses across 4 continents, united by a shared goal to drive the global green energy revolution. We offer a unique culture where people learn, decide, and build quickly with autonomy, and we provide perks that our people care about. We do not advertise salary because we want to match pay to experience, and we aim to create an inclusive, supportive environment with flexible hiring and interview accommodations.

last updated 36 week of 2026