Build and extend Kraken's AI Gateway, enabling teams to integrate and manage LLM workloads efficiently.
Posted by employer 4 days ago
First seen on Joblaze 3 days ago
Last verified on the company career page 7 hours ago
Skills & Technologies
What you'll build
Must have
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AI in the day-to-day
AI Gateway provides self-service access to leading models from providers like Anthropic, OpenAI, and Google.
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Senior Software Engineer will focus on enhancing Kraken's AI Gateway, which serves as a centralized access point for various LLM models. The position requires strong backend development skills, particularly in languages like Rust, Python, or TypeScript, along with experience in API design and distributed systems. This role is ideal for seasoned engineers who are comfortable managing complex integrations and have a solid understanding of LLM APIs and cloud infrastructure. The team emphasizes collaboration and feedback, ensuring that internal users have the tools and support they need.
Joblaze insights
Quick facts
From the original posting
The Dev Platform team builds the internal platform that Kraken's engineers use to build, ship and run software. Within Dev Platform, the AI Gateway is Kraken's company-wide LLM gateway: a single, governed entry point that gives teams self-service access to leading models from providers such as Anthropic, OpenAI and Google, with visibility into usage and cost, configurable budgets and rate limits, and routing across models and providers for efficiency and resilience.
Build and extend the AI Gateway: new model and provider integrations, routing policies, budgets, rate limits, and usage and cost reporting
Design the APIs, SDKs and self-service tooling that let engineers across Kraken onboard to the gateway quickly and safely
Help teams migrate their LLM workloads onto the gateway with minimal disruption
Implement access control, key management and audit logging in partnership with Security
Instrument the gateway so teams can see latency, errors, token usage and cost for their own workloads
Own features end to end, from design through production, and keep the service reliable alongside SRE
Support internal users with clear documentation, debugging help and a tight feedback loop that shapes the roadmap
Contribute to code review, design documents and engineering practices across Dev Platform
Solid experience as a backend or platform software engineer building and operating APIs and distributed services in production
Strong skills in a backend language such as Rust, Python or TypeScript, with a habit of writing well-tested, maintainable code
Working knowledge of how LLM APIs behave: authentication, streaming responses, token accounting, rate limits and provider failure modes
Experience with observability, CI/CD and containers, and comfort with Kubernetes and a major cloud provider
Ability to design clean, well-documented APIs for internal customers and to weigh their feedback
Clear written and verbal communication, and the ownership to carry work from idea to production
Experience with API gateways, proxies or traffic management
Experience building LLM-powered systems, including routing, caching, evaluation or cost controls
Familiarity with authentication and authorization patterns (OAuth, OIDC, RBAC)
Contributions to open-source infrastructure or developer-platform projects
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