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Software engineer, generative AI

WRITER· EPD
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Hybrid (San Francisco, CA), Hybrid (Seattle, WA), Hybrid (New York City, NY)Full-timePosted 4w ago

About the role

Software engineer role focused on building secure, scalable generative AI services and applications for enterprise environments, with emphasis on Python, AI model integration, and whole-systems architecture. Hybrid role based in SF, NYC, or London with impact on customers’ AI adoption and enterprise workflows.

Responsibilities

  • Design and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation
  • Build and optimize high-performance, low-latency APIs and microservices to integrate advanced AI models and sophisticated agentic workflows into our core platform
  • Act as a whole-systems thinker by making meaningful system design decisions and owning the architecture of core platform components from initial proposal through production deployment
  • Implement and maintain responsive user interfaces using technologies like React and TypeScript to deliver intuitive user experiences and bridge the gap between backend services and frontend enablement
  • Drive proactivity without red tape by clearly communicating changes, plans, and proposals to cross-functional teams and collaborating closely with product managers, data scientists, and DevOps engineers
  • Partner with DevOps teams to build continuous deployment, logging, and monitoring systems that ensure top-tier performance, security, and reliability across distributed workloads

Qualifications

  • 3-5+ years of hands-on experience as a software engineer with a strong emphasis on Python development in production environments
  • Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases like Pinecone, Weaviate, or pgvector, and modern open-source agentic frameworks
  • Practical experience with microservices architecture, RESTful APIs, cloud platforms such as AWS, GCP, or Azure, and containerization with Docker and Kubernetes
  • Solid grasp of modern web technologies including FastAPI, Asyncio, database systems like PostgreSQL, and hands-on experience leveraging AI developer tooling like Claude, Cursor, or GitHub Copilot to accelerate engineering workflows
  • Exposure to enterprise architecture including IAM, SSO, SAML, OAuth, OIDC, RBAC, robust security practices, or building services for enterprise administration and billing systems
  • A Connect mindset that thrives in collaborative settings, a Challenge spirit, and an Own attitude to deliver high-quality, resilient, and scalable code from conception to production
Last updated Sep 24, 2026. Interested? Apply on the company site.

About WRITER

End-to-end agent builder platform that unites IT & business

Eliminate silos with an end-to-end agent builder platform, designed for collaboration—without compromise. Build, activate, and supervise agents.

AI platformsAI research labcollaborative toolsenterprise technologygenerative AIindustry solutionsliquid-ai-recruiting-target
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