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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - AI Solutions - **Company:** Octopus Energy Ltd - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Programming Tools, Django Web Framework, Python (Programming Language), Octopus Deploy, Pair Programming, Software Prototyping, Rapid Prototyping Process, Data Streaming, Large Language Models, Reliability of Systems, Build Management - **Published:** August 28, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=4eb376639c86d84a ## About the Role * 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 ## Description * 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 ## Related Videos - [Developer Experience in the Age of AI](https://www.wearedevelopers.com/videos/1118-developer-experience-in-the-age-of-ai) - [Why pair programming is the best usability testing tool for developer focused products?](https://www.wearedevelopers.com/videos/503-why-pair-programming-is-the-best-usability-testing-tool-for-developer-focused-products) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [Why optimizing for system comprehension is key to implementing AI for software development](https://www.wearedevelopers.com/videos/100210-why-optimizing-for-system-comprehension-is-key-to-implementing-ai-for-software-development) - [AI Pair Programming with GitHub Copilot at SAP: Looking Back, Looking Forward!](https://www.wearedevelopers.com/videos/1546-ai-pair-programming-with-github-copilot-at-sap-looking-back-looking-forward) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)