Why This Job is Featured on The SaaS Jobs
Enterprise SaaS is rapidly moving from “AI features” to AI-native workflows, and this role sits in that shift. WRITER is building an end to end platform for deploying AI agents grounded in enterprise data, which places engineering work close to the hard problems SaaS vendors face when AI becomes a core product surface. The remit spans services, APIs, and integration patterns that matter when customers expect reliability, security, and predictable latency from model driven capabilities.
For a SaaS career, the value is in learning how modern product platforms operationalise generative AI beyond prototypes. Work across microservices, cloud infrastructure, and observability builds fluency in running production systems where iteration cycles are tied to customer usage. Exposure to vector databases, agent frameworks, and model integration also creates portable expertise as more SaaS categories adopt similar architectures.
This role tends to suit engineers who like owning technical components end to end and collaborating tightly with product and data partners. It also fits someone comfortable balancing pragmatic delivery with architectural judgment, including tradeoffs around performance and maintainability. Candidates aiming to deepen backend strength while staying conversant with frontend touchpoints and AI application patterns should find the scope aligned.
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
3+ 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 (UK full-time employees):
Generous PTO, plus company holidays
Comprehensive medical and dental insurance
Paid parental leave for all parents (16 weeks)
Fertility and family planning support
Early-detection cancer testing through Galleri
Competitive pension scheme and 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 and company stock options
