Senior Software Engineer - AI Foundations at kraken123

kraken123

London·5d ago

SeniorFull-timePythonDjangoAWSMachine LearningAIML

Salary Range

$132,600 - $179,400 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Senior Software Engineer to join our AI Foundations team at Kraken, a technology company focused on creating a smart, sustainable energy system. This role involves building and maintaining Python services and tooling that support AI/ML use cases, helping engineers adopt new models/tools, and developing backend services.

Key Responsibilities

→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.
→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.