Software engineer, agents

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.

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  Design, implement, and maintain scalable, secure agent-driven services and systems that autonomously accomplish tasks using modern AI frameworks.

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  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.

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  Integrate agent capabilities with backend services, data stores, vector databases, search/retrieval systems, and external APIs.

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  Collaborate with product managers, AI researchers, data engineers, and UX teams to translate high-level agent use cases into robust, production-ready software.

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  Ensure reliability, monitoring, and observability for all agent components (metrics, logging, CI/CD, fault tolerance).

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  Contribute to architectural design decisions and participate in rigorous code reviews to uphold quality and maintainability.

• 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.