Why This Job is Featured on The SaaS Jobs
Enterprise SaaS is rapidly absorbing generative AI into core workflows, and this role sits directly on that inflection point. WRITER positions itself as an end-to-end platform for building and deploying AI agents in large organisations, which makes the engineering work less about isolated models and more about production-grade capabilities: reliability, integration, evaluation, and governance within enterprise constraints.
For a SaaS career, the durable value here is learning how AI features become a product surface that customers depend on. The remit spans taking research into deployable systems, collaborating with product and data counterparts, and operating in cloud environments—experience that translates well across modern SaaS teams shipping AI-assisted functionality. The emphasis on responsible AI also signals exposure to the kinds of safety, bias, and explainability considerations that increasingly shape enterprise buying decisions.
This role is best suited to an engineer who prefers end-to-end ownership, from architecture through deployment, and who enjoys working across disciplines rather than in a purely research setting. It will fit someone who wants their technical choices to be constrained—and clarified—by real customer usage, and who is motivated by building repeatable systems rather than one-off prototypes.
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 London hub. 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 (UK full-time employees):
Generous PTO, plus company holidays
Comprehensive medical and dental insurance
Paid parental leave for all parents (12 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
