Software engineer, agents

WRITER is the AI platform built for the world’s most ambitious marketing and revenue teams, bringing the frontier of AI to the people who drive enterprise growth. With WRITER, autonomous agents work across the buyer journey, continuously executing on market signals and enterprise intelligence to grow revenue faster. Every agent action and asset is grounded in trust, built on an Enterprise Brain that unites brand, product, and company knowledge with fiduciary-grade governance and compliance.

Fortune 500 companies are transforming how they go to market with WRITER, including 3 of the top 5 US banks, 2 of the 5 largest global CPG conglomerates, and 4 of the top 5 US healthcare insurers. Founded in 2020, WRITER is backed by investors including Insight Partners, ICONIQ, Radical Ventures, Premji Invest, Balderton, B Capital, Salesforce Ventures, Adobe Ventures, Accenture, Citi Ventures, IBM Ventures, WndrCo, and others. Learn more at WRITER.com.

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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.