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, Seattle, 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. We are open to hiring for this role at multiple levels, with compensation ranges scaled to match your experience, expertise, and the scope of the role. 🦸🏻‍♀️ 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., Langraph, Agent Harness 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. - Experience with frontend technologies (React, TypeScript) for tooling around agent management interfaces. 🍩 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 (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri galleri.com - 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 writer.com.

Requirements

Must-haves

We are open to hiring for this role at multiple levels, with compensation ranges scaled to match your experience, expertise, and the scope of the role.
🏻‍♀️ 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., Langraph, Agent Harness 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.
Experience with frontend technologies (React, TypeScript) for tooling around agent management interfaces.
Benefits & perks (US Full-time employees)
Fertility and family planning support
Flexible spending account and dependent FSA options
Health savings account for eligible plans with company contribution

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdpythonawsgcpazuredockerkubernetesreacttypescript

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Parental Leave

Wellness