Software engineer, generative AI
Remote • San Francisco, CA • FullTime
Posted 1mo ago
Job Location
San Francisco, CA
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
WRITER is seeking a Software Engineer, Generative AI to join their team. This role is at the forefront of expanding human capacity by building the secure, scalable foundation that allows generative AI solutions to thrive in complex corporate environments. The ideal candidate is a well-rounded engineering generalist who leans heavily into generative AI and brings a whole-systems mindset to architectural design. You will own projects from proposal to deployment, shaping the future of AI and contributing to a product that's changing how the world works. This is a hybrid role based out of San Francisco, New York City, or London.
Responsibilities
- Design and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks.
- Build and optimize high-performance, low-latency APIs and microservices to integrate advanced AI models and agentic workflows.
- Make system design decisions and own the architecture of core platform components from proposal to production deployment.
- Implement and maintain responsive user interfaces using technologies like React and TypeScript.
- Communicate changes, plans, and proposals to cross-functional teams and collaborate with product managers, data scientists, and DevOps engineers.
- Partner with DevOps teams to build continuous deployment, logging, and monitoring systems.
Requirements
- 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 (Pinecone, Weaviate, pgvector), and agentic frameworks.
- Practical experience with microservices architecture, RESTful APIs, cloud platforms (AWS, GCP, Azure), and containerization (Docker, Kubernetes).
- Solid grasp of modern web technologies including FastAPI, Asyncio, PostgreSQL.
- Hands-on experience leveraging AI developer tooling like Claude, Cursor, or GitHub Copilot.
- Exposure to enterprise architecture including IAM, SSO, SAML, OAuth, OIDC, RBAC, and security best practices.
- A collaborative mindset with the ability to mentor other engineers.
- A proactive approach to tackling complex technical hurdles and suggesting improvements.
- Full accountability for delivering high-quality, resilient, and scalable code.
Benefits
- Generous PTO, plus company holidays
- Medical, dental, and vision coverage
- Paid parental leave (16 weeks)
- Fertility and family planning support
- Early-detection cancer testing
- Flexible spending account and dependent FSA options
- Health savings account with company contribution
- Annual work-life stipends (Wellness, Learning and development)
- Company-wide and team off-sites
- Competitive compensation
- Company stock options
- 401k