Why This Job is Featured on The SaaS Jobs
This Software Engineer, Agents role sits at a clear inflection point in SaaS: product teams are moving from single-feature AI add-ons to agent-driven workflows that operate across business systems. The listing signals a platform context, where reliability, security, and enterprise integrations matter as much as model capability. That combination places the work in the emerging “agent infrastructure” layer that many SaaS companies will need to build or buy.
For a SaaS career, the value is in learning how AI features become durable product surfaces. The focus on high-throughput APIs, observability, stateful orchestration, and integrations with data stores and external services maps closely to how modern SaaS platforms scale. Experience here is broadly transferable to other SaaS environments working on workflow automation, developer platforms, or AI-enabled enterprise products, especially where operational quality is a differentiator.
This role suits engineers who prefer building systems over prototypes and who enjoy collaborating across product, research, and design to turn ambiguous agent use cases into maintainable software. It will fit someone comfortable owning production concerns such as monitoring and fault tolerance, and who wants hands-on exposure to agentic tooling alongside conventional backend and cloud engineering practices.
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 seeking a highly skilled fullstack software engineer to join our engineering team building advanced AI-driven agent systems that execute autonomous workflows, orchestrate multi-step tasks, and extend human capacity across enterprise applications. In this role, you’ll play a key part in designing, building, and scaling next-generation AI agents that integrate with enterprise data and services to solve real-world problems. You will collaborate with cross-functional teams to turn complex agent concepts into production-ready systems.
🦸🏻♀️ What you'll do
Design, implement, and maintain scalable, secure agent-driven services and systems that autonomously accomplish tasks using modern AI frameworks.
Develop and enhance robust infrastructure and high-throughput APIs, focusing on core agent capabilities such as memory, communication channels, skills, intelligent decision logic, security and workflow management.
Integrate agent capabilities with backend services, data stores, vector databases, search/retrieval systems, and external APIs.
Collaborate with product managers, AI researchers, data engineers, and UX teams to translate high-level agent use cases into robust, production-ready software.
Ensure reliability, monitoring, and observability for all agent components (metrics, logging, CI/CD, fault tolerance).
Contribute to architectural design decisions and participate in rigorous code reviews to uphold quality and maintainability.
⭐️ What you need
3+ years of professional software engineering experience with strong proficiency (3+ years) in Python in production environments
Proficiency in native agentic coding, demonstrated through the daily use of tools like Cursor, Claude Code, and other agentic coding platforms.
Demonstrated experience building distributed systems, microservices, or complex backend APIs that support AI/agent workflows.
Solid expertise with systems that integrate AI models, agent frameworks (e.g., LangChain or platform-specific tooling), vector databases, and large context reasoning services.
Understanding of agent orchestration patterns, state management, and asynchronous workflows.
Experience with cloud platforms (e.g., AWS, GCP, Azure), containerization (Docker, Kubernetes), and operational engineering best practices.
Good grasp of performance optimization, testing frameworks, and CI/CD pipelines.
Excellent communication and collaboration skills, with a “connect + challenge + own” mindset.
Past work on AI agents that coordinate multi-step actions, reasoning, or autonomous decision-making loops.
Contributions to open-source agent toolkits or SDKs.
🍩 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
