Why This Job is Featured on The SaaS Jobs
Enterprise generative AI has become a distinct SaaS category, where product differentiation depends on reliability, security, and integration as much as model quality. This Software Engineer, Generative AI role sits squarely in that layer, focused on turning LLM and agentic workflows into platform capabilities enterprises can deploy, operate, and trust. The hybrid setup across major hubs also signals a company building durable engineering practices rather than a purely experimental lab.
For a SaaS career, the standout value is experience shipping AI features as a service: designing low latency APIs, working within microservice boundaries, and treating observability and deployment as first class concerns. The stack mentioned spans Python services, cloud infrastructure, and modern data components such as vector databases, which maps closely to how AI native SaaS products are being built today. Time spent here translates well to other roles at companies delivering developer platforms, enterprise workflow tools, or data products.
This role fits engineers who like owning production outcomes end to end and collaborating tightly with product and data partners. It will suit someone comfortable balancing rapid iteration with maintainability, and who prefers building foundational platform pieces over one off demos. Senior to Staff scope is implied, so it aligns with professionals ready to influence architecture and engineering standards.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
🚀 About WRITER
WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.
Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.
📐 About the role
We're looking for an exceptional software engineer, generative AI to join our rapidly evolving team at WRITER. In this pivotal role, you'll be at the forefront of expanding human capacity by building the next generation of AI-powered solutions that transform how leading enterprises operate. You'll dive deep into developing a state-of-the-art platform that leverages cutting-edge generative AI technologies, from large language models to sophisticated agentic workflows, delivering seamless, scalable, and secure applications that redefine enterprise productivity. This is an unparalleled opportunity to make a tangible impact, shaping the future of AI and contributing to a product that’s changing how the world works.
This role is hybrid, based out of our San Francisco, New York City, or London hubs. You'll report to an engineering director or a senior engineering manager.
🦸🏻♀️ What you'll do
Design and develop robust, scalable, and secure 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 for integrating advanced AI models and agentic workflows into our platform
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
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
Partner with DevOps teams building continuous deployment, logging and monitoring; ensuring top-tier performance and reliability
Own key architectural components, ensuring best practices in code quality, security, and maintainability through rigorous testing and peer reviews
⭐️ What you need
5+ years of hands-on experience as a software engineer, with a strong emphasis on Python development in production environments. We are open to discussing seniority levels from Senior to Staff.
Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases (e.g., Pinecone, Weaviate, pgvector), and modern open source agentic Frameworks.
Deep understanding and practical experience with microservices architecture, RESTful APIs, and cloud platforms such as AWS, GCP, or Azure, including containerization with Docker and Kubernetes
Solid grasp of modern web technologies including FastAPI, Asyncio, and database systems like PostgreSQL
A "Connect" mindset, thriving in collaborative settings where you actively engage with cross-functional teams and mentor junior engineers to achieve shared goals
A "Challenge" spirit, demonstrating exceptional problem-solving skills to tackle complex technical hurdles and proactively suggest innovative improvements to our systems and processes
An "Own" attitude, taking full accountability for delivering high-quality, resilient, and scalable code from conception through to production, continuously driving performance and maintainability
🍩 Benefits & perks (US Full-time employees)
Generous PTO, plus company holidays
Medical, dental, and vision coverage for you and your family
Paid parental leave for all parents (12 weeks)
Fertility and family planning support
Early-detection cancer testing through Galleri
Flexible spending account and dependent FSA options
Health savings account for eligible plans with company contribution
Annual work-life stipends for:
Wellness stipend for gym, massage/chiropractor, personal training, etc.
Learning and development stipend
Company-wide off-sites and team off-sites
Competitive compensation, company stock options and 401k
WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.
