Full Stack AI Engineer
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.
Skills
- llamaindex
- aws
- ai
- mongodb
- openai
- dynamodb
- lambda
- s3
- node
- claude
- langchain
- llm
- react
- agents
- typescript
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