We are recruiting on behalf of our valued client. This opportunity is for a position with their organization, not with People Culture Talent. We're excited to help connect talented professionals with this exceptional team!
🏢 About Arena Intelligence
Arena Intelligence is the open platform for evaluating how AI models perform in the real world. Born out of UC Berkeley’s SkyLab and the team behind Arena.ai, our leaderboards are the industry’s gold standard for AI model evaluation — trusted by researchers, developers, and enterprises shaping the future of AI.
With over a million daily users and the trust of every major AI lab — including OpenAI, Google, and Anthropic — their crowdsourced benchmarks and human preference data power the decisions shaping the future of artificial intelligence. Their leaderboards aren't just influential; they're the industry standard.
Behind the platform is a team of researchers, engineers, and builders from UC Berkeley, Google, Stanford, DeepMind, and beyond — people who seek truth, move fast, and care deeply about craftsmanship and impact. They're building a company where deep expertise meets curiosity, and where the work genuinely matters.
🎯 The Role
You’ll own core infrastructure that turns our research advantage into an enterprise products. This is a founding role on the developer/enterprise team. You’ll work directly with the founders and early customers to define what we build and how we build it.
✅ Key Responsibilities
Build API based products from the ground up. Design and implement a low-latency, high-reliability APIs for leaderboards, models, and arenas.
Solve hard streaming problems. Handle SSE/streaming responses across heterogeneous providers, including partial failure recovery, mid-stream fallback, and consistent response normalization.
Ship enterprise-grade infrastructure. Build the systems enterprise customers expect: rate limiting, authentication, usage metering, cost attribution, audit logging, and SOC2 compliance
Build deep observability. Instrument infrastructure with distributed tracing, latency breakdowns, token-level usage tracking, and real-time dashboards so customers (and we) can see exactly what’s happening.
Build AI centered products. Integrate with our core evaluation platform, Arena data, and customer-specific benchmarks. Collaborate with the research team to turn novel ideas into full-featured products
Flex across the stack. Contribute to the backend of our Leaderboards and Evals platforms when needed, helping unify our public and private data architectures.
📌 Required Qualifications
4+ years of backend engineering experience, with meaningful time spent on distributed systems, infrastructure, or developer-facing platforms.
Strong proficiency in Go and/or Rust, with hands-on experience building high-throughput APIs or proxy/gateway systems.
Experience with LLM provider APIs (OpenAI, Anthropic, Google, etc.) and a working understanding of the challenges: streaming, token management, rate limits, model-specific quirks.
Solid cloud infrastructure skills — you’re comfortable with AWS or GCP, Kubernetes, Terraform, and database systems like Postgres and Redis.
A product-oriented mindset. You think about the developer experience of your APIs, not just the implementation. You ask “why” before “how.”
Comfort with ambiguity. We’re a startup. Scope is fluid, context shifts, and you’ll wear many hats. That should sound exciting, not stressful.
⭐ Desirable Experience
Experience building API gateways, proxies, or developer tools (Bifrost, Kong, Envoy, Tyk, or custom).
Background in ML infrastructure, model serving, or evaluation frameworks.
Experience building enterprise-ready features: SSO, RBAC, audit logs, multi-tenancy.
Familiarity with the modern AI infra stack (vLLM, LiteLLM, LangChain, etc.).
🎁 Benefits
Compensation: $200K – $350K plus equity
Comprehensive health, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team.
A culture that values transparency, trust, and community impact.
Please let People Culture Talent know that you found this role at devopsprojectshq.com as a way to support us, so we can keep providing you with awesome DevOps jobs.
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