> Markdown version of [/jobs/ext/3964174-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3964174-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Recruiting from Scratch - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $105,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Data Retrieval, Graph Database, PostgreSQL, Machine Learning, Node.Js, OpenAI, Software Engineering, TypeScript, Pulumi, Google Cloud, Large Language Models, Kubernetes, NestJS, Docker - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-san-francisco-ca--12afedc3-69a9-4966-b9c5-c1a012d74a47 ## About the Role Artificial Intelligence (AI), Artificial Intelligence (AI), Financial Services, Funding, Business-to-Business (B2B), Operating Systems, Financial Operations, Leading Edge Technology, Financial Systems, Node.js, * 5-10 years of experience in software engineering, with a focus on full-stack development. * Proficiency in TypeScript, NodeJS, and PostgreSQL. * Experience with cloud platforms, particularly Google Cloud Platform (GCP). * Familiarity with Docker and container orchestration. * Knowledge of AI technologies, including OpenAI and LLM tooling. * Strong analytical and problem-solving skills, with a passion for innovative technology. Preferred * Experience with NestJS and Pulumi for building and managing applications. * Familiarity with graph databases and their applications in enterprise solutions. * Previous experience in the financial services or fintech industry. ## Description * Design, develop, and maintain full-stack applications using TypeScript and NodeJS. * Implement and optimize database solutions with PostgreSQL to ensure high performance and scalability. * Utilize GCP for deploying and managing applications in a cloud environment. * Integrate machine learning models and tools, including OpenAI and LLM tooling, into existing systems. * Collaborate with cross-functional teams to define and enhance product features and functionality. * Manage containerized applications using Docker, ensuring seamless deployment and operations. * Contribute to the development of vector storage solutions to support advanced data retrieval and processing.