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CoreWeave · 5 days ago

Software Engineer II - Agentic AI, Internal Developer Platforms

Bellevue, WA

Full-time

Hybrid

Mid Level

$109K/yr - $160K/yr

3+ years exp

CoreWeave is The Essential Cloud for AI™, providing a platform for innovators to build and scale AI. As a Software Engineer II, you will develop and maintain internal developer platforms and services that enhance developer workflows and AI tooling, ensuring safety and reliability in operations.

AI InfrastructureArtificial Intelligence (AI)Cloud ComputingCloud InfrastructureInformation TechnologyMachine Learning

No H1B

U.S. Citizen Only

Responsibilities

Build and maintain internal developer platforms that power local development, automated testing, and ephemeral (preview) environments

Design, implement, and operate MCP servers that wrap developer tools (CW-CLI, CI/CD, env APIs, observability, etc.) so LLMs and agents can call them in a safe, structured way

Contribute MCP server templates, SDKs, and registry metadata (ownership, permissions, versioning, stability, safety level) to make it easy for teams to expose services to agents

Integrate and harden AI-enabled developer capabilities (code scaffolding, test generation, post-PR assistance, release agents) into our platform while enforcing policy, validation, and audit trails

Implement spec-driven development flows: index specs and docs, enable RAG/structured retrieval, and ensure agent outputs are validated against specs and policy checks

Implement safety guardrails and observability for agent actions: RBAC/scoped tokens, logs and traces, explainability, and deterministic validation checks

Partner with Security, SRE, DevEx, and product teams to design endpoints, test harnesses, dry-run modes, and rollback/ idempotency semantics so agent-driven operations are safe and reversible

Qualification

PythonGoContainerizationLLM/AI toolingMCP serversCI/CD systemsObservabilitySoft skills

Required

3+ years professional experience building production services or infrastructure

Experience operating services at scale, including monitoring/alerting and incident response

Comfortable using Python/Go as a primary language with demonstrated strong systems/programming skills and willingness to become productive in Go

Experience with containerization and orchestration (Docker, Kubernetes) and IaC / CI systems (GitHub Actions, ArgoCD, Terraform, etc.)

Experience building scalable development/test environments, ephemeral preview environments, or developer tooling

Experience in LLM/AI-powered developer tooling (code suggestion, code intelligence, RAG pipelines, AI Agents and Agentic Workflows)

Preferred

Direct experience integrating LLMs, building MCP-style wrappers, or creating machine-friendly tool contracts/SDKs

Experience with knowledge/context indexing (semantic search, Sourcegraph, RAG), observability for agent actions, and audit trails

Familiarity with safety & governance patterns for autonomous workflows (human-in-the-loop defaults, explainability requirements, environment scoping, scoped tokens / RBAC)

Experience building dashboards / analytics (Grafana) or tooling for usage/spend monitoring is a plus