Design and build the agent platform end to end, from the context and tool layer that shapes what agents can reason about, through the execution runtime where code runs, to the interfaces that expose results to users.
Own the skill architecture, designing how agents discover, learn about, and invoke capabilities across Chainalysis's product suite. This includes writing skill client libraries, their documentation, and testing them end to end.
Build and operate sandboxed execution environments where agent-generated code runs with tenant-level security boundaries and durable file persistence.
Ship full-stack features across frontend, backend, skill libraries, and infrastructure. You own the full lifecycle from design through production operation.
Develop the workflow platform that lets users automate complex processes beyond single conversations.
Drive AI quality, cost, and observability, including multi-model orchestration, context window management, prompt engineering, and tracing across multi-step agent runs.

Requirements

Built and shipped full-stack features across frontend, backend, and infrastructure, with demonstrated ownership from design through production operation.
Worked with LLMs in production and formed real opinions from it. Tool use, agent orchestration, streaming, prompt engineering, or retrieval-augmented generation. You've hit the failure modes and learned from them.
A working understanding of how to structure what an agent knows and can do within the constraints of a context window. You've thought about the tradeoffs between baking knowledge into prompts, exposing tools, and letting agents write code against documented APIs.
Deep backend engineering fundamentals in a typed language: concurrency, error handling, state management, and system design.
Built or operated systems with real security constraints, tenant isolation, scoped credentials, sandboxed execution, or similar patterns where trust boundaries matter.
Designed tool interfaces or capability systems for AI agents, skills, function schemas, or similar patterns for giving models structured access to external systems
Worked with the Effect ecosystem or strongly-typed functional programming in TypeScript
Built multi-tenant platforms or systems with enterprise security requirements
Experience in Python library development or designing SDKs for programmatic consumption
Worked within Blockchain, FinTech or B2B SaaS companies

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

full-stack developmentfrontend developmentbackend developmentTypeScriptPythonconcurrencyerror handlingstate managementsystem designprompt engineering

Soft Skills

ownershipproblem-solvingcritical thinkingcollaborationcommunication