Software Engineer, Generative AI

Writer Writer · AI Frontier · San Francisco, CA · Engineering, product & design

Software engineer focused on building and optimizing generative AI services, applications, and agentic workflows for enterprise clients, leveraging LLMs and modern AI frameworks.

What you'd actually do

  1. Design and develop robust, scalable, and secure generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation
  2. Build and optimize high-performance, low-latency APIs and microservices for integrating advanced AI models and agentic workflows into our platform
  3. Collaborate closely with product managers, data scientists, and cross-functional engineering teams to translate complex business needs into innovative AI solutions, from concept to production
  4. Implement and maintain responsive user interfaces (primarily focused on backend enablement though some frontend interaction is expected) using technologies like React and TypeScript to deliver intuitive user experiences
  5. Partner with DevOps teams building continuous deployment, logging and monitoring; ensuring top-tier performance and reliability

Skills

Required

  • Python
  • generative AI
  • LLMs
  • vector databases
  • agentic frameworks
  • microservices architecture
  • RESTful APIs
  • AWS, GCP, or Azure
  • Docker
  • Kubernetes
  • FastAPI
  • Asyncio
  • PostgreSQL
  • React
  • TypeScript

Nice to have

  • backend enablement
  • frontend interaction

What the JD emphasized

  • Python development in production environments
  • building and deploying generative AI applications
  • LLMs
  • vector databases
  • agentic Frameworks
  • microservices architecture
  • RESTful APIs
  • cloud platforms
  • Docker and Kubernetes
  • FastAPI
  • Asyncio
  • PostgreSQL

Other signals

  • building the next generation of AI-powered solutions
  • leveraging cutting-edge generative AI technologies
  • sophisticated agentic workflows
  • enterprise-grade LLMs