Senior Software Engineer – AI Foundations

🕒 March 3

🏢🏡 London – Hybrid

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Kraken

WebsiteLinkedInAll Job Openings

201 - 500 employees

⚡ Energy

☁️ SaaS

🏢 Enterprise

Energy • SaaS • Enterprise

Kraken is an innovative technology platform designed for the utility sector, providing an end-to-end solution that automates and enhances the energy supply chain. It manages over 60 million customer accounts and works with various energy sources, including offshore wind and grid-scale batteries. Kraken helps utilities improve operational efficiency, customer service, and innovative product development while contributing to the transition to a decentralized and decarbonized energy system.

📋 Description

• Build and maintain Python services and tooling that support AI/ML use cases (e.g., APIs, integrations, automation, internal developer tools) and run reliably in production. • Help engineers adopt new models/tools from an engineering perspective - sharing best practices, patterns, and practical guidance. • Develop and evolve backend services (Django preferred) including business logic, ORM/data access patterns, admin tooling, and workflows. • Operate in AWS: deploy, run, and support AI-enabled systems; make sensible architecture/cost tradeoffs; partner effectively with infra/DevOps stakeholders. • Prototype and productionise LLM-powered features and integrations, using common LLM frameworks and MLOps tooling (see Tech Stack below). • Improve observability and reliability using Datadog (metrics/logs/traces, dashboards/alerts) and help establish good monitoring practices as we scale. • Communicate clearly across audiences - able to “talk tech to non-tech and vice versa,” produce strong documentation, and collaborate cross-functionally.

🎯 Requirements

• Strong Python: senior/advanced capability designing components end-to-end, writing clean idiomatic code, testing thoroughly, and debugging complex production issues. • Solid software engineering fundamentals (system design, concurrency, code quality, testing strategy, maintainable architecture; strong reasoning about tradeoffs). • Cloud experience (AWS) running production services; comfortable owning reliability/scalability considerations and collaborating with platform/infra partners. • Strong communication and collaboration across technical and non-technical stakeholders. • Learning agility and drive: proven ability to ramp quickly on new domains/tools and deliver in evolving AI environments.

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities