Staff AI Engineer - Full-Stack Production Features

The Engineering Company; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, and vision coverage

Flexible time off

Support for experimentation and learning

Job summary

A leading software engineering firm in San Francisco is seeking experienced staff software engineers to develop AI-driven solutions that enhance team collaboration. The ideal candidate has over 8 years in production software development, including hands-on experience with modern LLM tooling. Responsibilities include designing AI features and integrating advanced models into workflows. This position offers competitive salary, equity, and flexible time off, promoting a culture of speed, ownership, and continuous learning.

Qualifications

• 8+ years developing production software, including designing and testing at scale.
• Hands-on experience with LLM providers like OpenAI and Hugging Face.
• Familiarity with retrieval-augmented systems and safety approaches.

Responsibilities

• Design and ship AI-powered features like requirement drafting.
• Build workflows to help engineers explore designs and validate requirements.
• Integrate and optimize language models in production.

Skills

Production software development

Designing and operating cloud services

Experience with LLM providers

Prompt design

Ability to reason about tradeoffs

Comfort in fast-paced environments

Tools

TypeScript

Node.js

Python

Postgres

Job description

A leading software engineering firm in San Francisco is seeking experienced staff software engineers to develop AI-driven solutions that enhance team collaboration. The ideal candidate has over 8 years in production software development, including hands-on experience with modern LLM tooling. Responsibilities include designing AI features and integrating advanced models into workflows. This position offers competitive salary, equity, and flexible time off, promoting a culture of speed, ownership, and continuous learning.