Job Description

AiMi builds agentic AI infrastructure for capital markets: autonomous agents that ingest venue and vendor notifications, assess impact across client infrastructure, and drive change management workflows in real time, replacing what used to be manual, static processes for exchanges and their ops teams. live production platform, not a pilot. You'd work across the full stack: React/TypeScript frontend, Node.js backend, AWS Lambda. Responsibilities include shipping features in the agent pipeline, building MCP-based connectors and skills that extend what our agents can reach, running evals on agent accuracy, building observability and alerting for agent latency/error rates/failed workflows, and making long-running LLM, agent, and SSE calls actually resilient (timeouts, retries, circuit breakers, fail-fast, recovery). Also diagnosing dependency/version conflicts in a Node.js/npm monorepo. Requirements: 2-3+ years hands-on experience, solid Node.js and REST API background, hands-on with LLMs or agent frameworks (Mastra, LangChain, LlamaIndex, Claude, OpenAI or similar), comfortable with AWS (Lambda, Bedrock, DynamoDB, S3, Cognito, API Gateway, CloudWatch), MongoDB/DynamoDB, and genuine testing (unit/integration/e2e). Familiarity with spec-driven development (Claude Code, Cursor, CodeRabbit or similar) is a plus. Bonus points for capital markets/trading infra, LLM observability tooling like Langfuse, SSE streaming, or PostHog. This role offers real architectural scope at an early-stage company with potential to grow into senior or lead roles.