Full Stack AI Engineer

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. concretely: shipping features in the agent pipeline, building MCP-based connectors and skills that extend what our agents can reach, running evals on agent accuracy and reliability, 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 a fair amount of diagnosing dependency/version conflicts in a Node.js/npm monorepo, which is its own skill.

looking for 2-3+ years hands-on experience, solid Node.js and REST API background, real hands-on work 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 genuinely tests what you ship (unit, integration, e2e). familiarity with spec-driven development (Claude Code, Cursor, CodeRabbit or similar) is a real plus since that's how we work day to day. bonus points for capital markets/trading infra background, LLM observability tooling like Langfuse, SSE streaming experience, or PostHog.

you'd be working on great things here: real architectural decisions at an early-stage company, visible impact from week one, and room to grow into a senior or lead role as we grow.