Senior AI Engineer

Developing a platform of AI analyst coworkers that deliver industry insights. The role involves building and operating agentic AI capabilities in a small engineering team, covering AI agents, system architecture, production reliability, feature design, and secure deployment.

• Design and build production AI agents that can plan, use tools, maintain context, and complete complex tasks.
• Design scalable systems for agent orchestration, messaging, task execution, permissions, and persistent state.
• Integrate LLM providers, external APIs, databases, and communication channels.
• Build secure, sandboxed environments for executing agent workloads.
• Develop evaluation, monitoring, and debugging tools for agent quality and reliability.
• Deploy and operate AI services on GCP.
• Own technical decisions and establish strong engineering, testing, and security practices.

• 7+ years of software engineering experience.
• Hands-on experience delivering production AI or agentic systems used by real users.
• Strong system design experience, particularly with distributed and event-driven systems.
• Strong backend development skills in TypeScript, Python, Go, Java, Rust, or a similar language.
• Experience with LLM APIs, tool calling, structured outputs, context management, and agent workflows.
• Experience with SQL databases, asynchronous processing, retries, idempotency, and failure handling.
• Production experience with GCP, Docker, CI/CD, and infrastructure as code.
• Strong understanding of application security, permissions, secrets, and workload isolation.
• Experience with observability, incident investigation, and production operations.
• Ability to work independently and communicate clearly in a fast-moving environment.
• Experience with agent frameworks such as LangGraph, LangChain, CrewAI, OpenAI Agents SDK, Claude Agent SDK, or similar.
• Experience with Terraform, Kubernetes, vector search, RAG, or multi-agent systems.
• Experience with financial research or analyst workflows.