Senior AI Software Engineer, AI Core

ChainalysisNew York, NY

About The Position

The AI Core team builds the platform that gives users AI-driven access to Chainalysis's blockchain investigation and compliance products. We build the agent runtime, the execution infrastructure, and the tool and skill systems that let AI reason about what users need and deliver answers, artifacts, and automation grounded in Chainalysis's proprietary data across sandboxed environments, durable workflows, and a deep catalog of product integrations. We run a small team with high ownership; we're looking for engineers who care about building systems where AI has real tools, real data, and real consequences.

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.

Nice To Haves

  • 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

Responsibilities

  • 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.

Benefits

  • Diversity of experience and thought makes us stronger.
  • Committed to ensuring our team reflects the unique communities around us.
  • Committing to continually revisit and reevaluate our diversity culture.
  • Encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more.
  • If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know.
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