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WriterWriter

Software engineer, agents

Fullstack engineer building scalable AI agent systems for enterprise workflows, integrating with data stores and external services. Requires 3+ years of Python experience and hands-on work with agent frameworks and distributed systems.

About the job

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.
  • 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
  • Flexible spending account and dependent FSA options
  • Health savings account for eligible plans with company contribution
  • Annual work-life stipends for wellness, learning and development
  • Company-wide off-sites and team off-sites
  • Competitive compensation, company stock options and 401k

Skills

Python, LangChain, Vector Databases, AWS, GCP, Azure, Docker, Kubernetes, React, TypeScript, CI/CD, Microservices

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