Mechanical Engineer at Super Micro Computer designing and developing server production fixtures and ensuring product quality through testing and collaboration.
About the role
- Senior Software Engineer in AI Foundations team managing Python services for AI/ML use cases. Working to enhance reliability and integration of AI capabilities across Kraken's energy platforms.
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 (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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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