Full Stack AI Engineer at AiMi
Core
Building agentic AI infrastructure for capital markets, including autonomous agents that ingest notifications, assess impact, and drive real-time change management workflows.
Role type
Full Stack AI Engineer (Agentic AI Infrastructure)
Builds
Production agentic AI platform, MCP-based connectors, and agent pipeline features for capital markets.
Domain
Capital Markets / Agentic AI / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Node.js, React/TypeScript, AWS (Lambda, Bedrock, DynamoDB, S3, Cognito, API Gateway, CloudWatch), MongoDB, REST APIs, LLM/Agent frameworks (Mastra, LangChain, LlamaIndex), Unit/Integration/E2E testing, Resilient system design (timeouts, retries, circuit breakers), Monorepo management.
Preferred skills
Capital markets/trading infrastructure background, LLM observability tooling (Langfuse), SSE streaming experience, PostHog, Spec-driven development tools (Claude Code, Cursor, CodeRabbit).
Responsibilities
Shipping features in the agent pipeline, building MCP-based connectors and skills, running evals on agent accuracy and reliability, building observability and alerting for agent latency/error rates/failed workflows, making long-running LLM/agent/SSE calls resilient, diagnosing dependency/version conflicts in a Node.js/npm monorepo.
Seniority
Mid-level (2-3+ years hands-on experience), potential to grow into senior or lead role.