About this role
The engineering team at Writer builds advanced AI-driven agent systems designed to execute autonomous workflows, orchestrate multi-step tasks, and expand human capacity across enterprise applications. Engineers in this group focus on designing, building, and scaling next-generation AI agents that integrate deeply with enterprise data and services to solve complex real-world challenges.
Day-to-day work involves creating secure, scalable agent-driven services, developing high-throughput APIs, and integrating backend data stores, vector databases, and external APIs. Practitioners collaborate closely with product managers, AI researchers, data engineers, and user experience teams to turn high-level agent concepts into production-ready software systems.
This opportunity suits pragmatic builders and scalers who thrive in fast-paced environments and possess a solid background in distributed systems and backend Python development. Candidates who enjoy tackling architectural design decisions, participating in code reviews, and maintaining operational reliability across complex AI workflows will find a strong alignment here.
What you will do
- Design, implement, and maintain scalable and secure agent-driven services that autonomously accomplish tasks using modern AI frameworks.
- Develop robust infrastructure and high-throughput APIs focused on core agent capabilities including memory, communication, and decision logic.
- Integrate agent functionalities with backend services, data stores, vector databases, search systems, and external APIs.
- Collaborate with product, research, data, and UX teams to translate complex agent use cases into production-ready software.
- Ensure system reliability, monitoring, and observability across all agent components through metrics, logging, and CI/CD practices.
- Contribute to architectural design decisions and participate in rigorous code reviews to maintain high quality and maintainability.
What you need
- Bring at least 3 years of professional software engineering experience with strong production proficiency in Python.
- Demonstrate native agentic coding proficiency through the daily use of platforms such as Cursor and Claude Code.
- Build distributed systems, microservices, or complex backend APIs that support AI and agent workflows.
- Apply expertise in integrating AI models, agent frameworks, vector databases, and large context reasoning services.
- Understand agent orchestration patterns, state management, and asynchronous workflows.
- Utilize cloud platforms, containerization tools like Docker and Kubernetes, and operational engineering best practices.
Nice to have
- Past work on AI agents that coordinate multi-step actions, reasoning, or autonomous decision-making loops
- Contributions to open-source agent toolkits or SDKs
- Experience with frontend technologies like React and TypeScript for tooling around agent management interfaces
Benefits
- Generous PTO plus company holidays
- Medical, dental, and vision coverage for you and your family
- Paid parental leave for all parents (16 weeks)
- Fertility and family planning support
- Health savings account for eligible plans with company contribution
- Annual work-life stipends for wellness and learning development
Skills and tech stack
Questions candidates ask
What is the compensation range for this role?
Compensation ranges from $132K to $240K and includes offers for equity. Multiple ranges exist because the company is open to hiring for this role at multiple levels, scaled to match your experience, expertise, and scope.
Where are the company offices located?
Writer was founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London. This specific posting lists the location in New York City, NY.
What kind of daily tools and technologies will I use?
Engineers in this role use Python in production environments alongside native agentic coding tools like Cursor and Claude Code. The tech stack also involves agent frameworks, vector databases, cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes.
What benefits are available for full-time employees in the US?
US full-time employees receive generous PTO, medical, dental, and vision coverage, and 16 weeks of paid parental leave. Additional perks include fertility support, health savings accounts with company contributions, wellness and learning stipends, and company-wide off-sites.