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Remote mid-level fullstack AI role with generalist title and broad skills attracts high applicant density.
Core fullstack and LLM engineering skills are broadly transferable across industries despite optional capital markets knowledge.
Explicit 4–7 years and mandatory fullstack plus LLM and AWS skills make filters stringent.
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Own end-to-end development of full stack features including React/TypeScript front-end, Node.js back-end services, and AWS Lambda functions.
Develop and improve agentic AI workflows and pipelines that automate capital markets workflows in production.
Design and maintain integrations, agent skills/connectors, and conduct agent evaluation to enhance AI agent accuracy and reliability.
4 to 7 years of hands-on full stack development experience.
Strong back-end development skills in Node.js and RESTful API design.
Practical experience with large language models (LLMs), agent frameworks, or AI automation tools such as Mastra, LangChain, LlamaIndex, Claude, or OpenAI.
Working knowledge of AWS cloud services including Lambda, DynamoDB, S3, Cognito, API Gateway, and CloudWatch.
Experienced full stack engineer comfortable working across front-end, back-end, and AI workflow integration in a fast-paced, remote startup environment.
Familiar with agentic SDLC and spec-driven development practices enabling rigorous engineering collaboration and delivery.
Strategic fit includes hands-on experience with event-driven architectures, NoSQL databases, CI/CD automation, and commitment to developer-led testing.