Software engineer, generative AI

present of AI; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Writer seeks a generalist engineer to build and run generative AI services end to end, from backend APIs and microservices to frontend work.

A strong candidate brings several years of production Python, hands-on work with large language models and vector databases, and comfort with cloud, containers, and enterprise security patterns. The role rewards ownership of architecture from proposal through deployment and strong cross-team communication.

Qualifications

• Several years of production Python development experience.
• Hands-on work with large language models and vector databases.
• Comfort with cloud, containers, and enterprise security patterns.

Responsibilities

• Build and operate generative AI services end to end, including backend APIs and microservices.
• Own architecture decisions from proposal through deployment and communicate across teams.

Skills

Production Python

LLM applications

Vector stores

Cloud

Containers

Architecture ownership

Team communication

Tools

Kubernetes

Agent frameworks

Job description

This role asks for a generalist engineer who can build and run generative AI services end to end, from backend APIs and microservices to some frontend work. A strong candidate brings several years of production Python, hands on work with large language models and vector databases, and comfort with cloud, containers, and enterprise security patterns. The posting also values people who own architecture decisions from proposal through deployment and communicate well across teams.

How it fits the AI era

The work sits close to the AI itself, building the services and agent workflows that let large companies use generative models safely. Much of the routine coding is sped up by AI developer tools, so judgment about system design, security, and reliability matters more. Deciding what to build, how pieces fit, and how to keep things trustworthy stays human.

How it builds AI experience

A person here would gain direct experience deploying language model applications, working with vector stores and agent frameworks, and integrating models into secure enterprise systems. Building familiarity with retrieval, agent orchestration, and identity and access controls would prepare someone well for this kind of platform work.

Worth showing

• Production Python
• LLM applications
• Cloud and Kubernetes
• Enterprise security patterns

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Writer

Writer is an enterprise AI platform for building and supervising AI agents grounded in company data, per the company.