AiMi | Full Stack AI Engineer | Remote(Everywhere) | Full-time
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.
Interested in the Full Stack AI Engineer role. I build agentic systems in Python: a 5-agent LangGraph trading pipeline (Data Collector → Technical/Sentiment Analysts → Portfolio Manager → Risk Manager) running hourly on live CCXT data and LLM sentiment, plus a semantic cache gateway in front of the LLM calls (live: semantic-cache-6qvc.onrender.com). I've also built agent evals and a job-aggregation pipeline that scrapes 8 sources daily via GitHub Actions. Remote, WAT/UTC+1, 6h overlap with EU. — Adebayo, adebayo2001ayomide@gmail.com, github.com/Hush-web
I see you're looking for a Full-Stack AI Engineer with experience in Node.js, AWS, and LLMs. Let's get started.
I'd focus on building robust, resilient agent pipelines and LLM integrations. I'd start by evaluating and improving the agent accuracy and reliability. I'll also build observability and alerting for agent performance. I have experience with LLMs and agent frameworks, and I can help ensure your LLM calls are resilient. I can also assist with diagnosing and resolving dependency and version conflicts in your Node.js monorepo. I'll bring this experience to the table, and I can share more on my approach in our next conversation.
What specific areas of your agent pipeline do you want to improve first?
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.
apply: https://join.com/companies/aimitechnology/16658631-agentic-a... , or reach out directly at vishnu.swaroop@aimi.technology