Why This Job is Featured on The SaaS Jobs
Enterprise SaaS is rapidly moving from experimentation with generative AI to operationalising it inside core workflows, and this AI Engineer role sits squarely in that shift. The listing points to a platform approach aimed at large organisations, where reliability, governance, and integration matter as much as model quality. That makes the work relevant to a broad slice of the SaaS ecosystem now standardising how AI features reach production.
From a career perspective, the role offers repeated exposure to the full lifecycle that defines modern AI-led SaaS: translating research into shippable capabilities, deploying into production, and iterating with product and data partners. Experience building agents and LLM-powered features, plus the associated MLOps and cloud considerations, tends to transfer well across SaaS companies that are adding AI to existing products rather than building standalone demos.
This role is best suited to engineers who prefer ownership of production outcomes and are comfortable working across disciplines to define requirements and evaluation criteria. It will likely appeal to professionals who want their work measured by platform performance and customer-facing impact, and who enjoy balancing model behaviour, system design, and responsible AI practices in an enterprise context.
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
As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data.
This role can be hybrid in our San Francisco or New York City hubs. You'll report to the head of AI engineering.
🦸🏻♀️ What you'll do
Architect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform.
Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers.
Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs.
Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space.
Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical.
⭐️ What you need
3+ years of professional experience building and deploying machine learning or AI systems in a production environment.
Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX.
A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models.
Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle.
Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems.
Exceptional problem-solving skills and a passion for tackling complex technical challenges with creative AI solutions.
You Connect by collaborating seamlessly across diverse teams, Challenge the status quo to innovate, and Own your projects with a commitment to impact and excellence.
🍩 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.
