
Job Overview
Location
New York City, NY
Job Type
Full-time
Category
Software Engineer
Date Posted
May 19, 2026
Full Job Description
đź“‹ Description
- • Design, implement, and maintain scalable, secure agent-driven services that autonomously execute complex workflows using modern AI frameworks.
- • Develop and enhance robust infrastructure and high-throughput APIs focused on core agent capabilities including memory, communication channels, skills, intelligent decision logic, security, and workflow management.
- • Integrate AI agent systems with enterprise backend services, data stores, vector databases, search/retrieval systems, and external APIs to enable autonomous task execution.
- • Collaborate with product managers, AI researchers, data engineers, and UX teams to translate high-level agent use cases into production-ready software solutions.
- • Ensure reliability, monitoring, and observability for all agent components through metrics, logging, CI/CD pipelines, and fault-tolerant system design.
- • Contribute to architectural decisions and participate in rigorous code reviews to maintain code quality, scalability, and maintainability across the agent platform.
- • Build and optimize distributed systems and microservices that support AI/agent workflows, with emphasis on performance, latency, and concurrency.
- • Apply native agentic coding practices using tools such as Cursor and Claude Code to accelerate development of autonomous agent logic.
- • Implement agent orchestration patterns, state management, and asynchronous workflows to coordinate multi-step decision-making loops.
- • Enhance frontend tooling interfaces using React and TypeScript to provide intuitive dashboards for agent configuration, monitoring, and management.
- • Operate within cloud platforms (AWS, GCP, Azure) using containerization technologies like Docker and Kubernetes for deployment and scaling.
- • Maintain comprehensive testing frameworks and CI/CD pipelines to ensure continuous delivery and quality assurance of agent systems.
- • Contribute to the improvement of agent toolkits, SDKs, or internal libraries to standardize agent development practices across teams.
- • Work cross-functionally to align technical implementation with enterprise-grade security, compliance, and data governance requirements.
- • Translate abstract AI research concepts into functional, production-scale software components that integrate with enterprise data ecosystems.
- • Proactively identify and resolve bottlenecks in agent performance, system latency, and resource utilization across distributed environments.
- • Drive adoption of best practices in operational engineering, including incident response, alerting, and automated recovery mechanisms for agent systems.
- • Participate in design reviews and technical planning sessions to shape the evolution of the enterprise AI agent platform.
🎯 Requirements
- • 3+ years of professional software engineering experience with strong proficiency in Python in production environments
- • Proficiency in native agentic coding using 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 integrating AI models, agent frameworks (e.g., LangChain), vector databases, and large context reasoning services
- • Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and operational engineering best practices
- • Past work on AI agents that coordinate multi-step actions, reasoning, or autonomous decision-making loops
🏖️ 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
- • Early-detection cancer testing through Galleri
- • Annual work-life stipends for wellness, learning and development
Skills & Technologies
About Writer Inc.
Writer Inc. provides an enterprise-grade generative AI platform for creating, editing and governing business content. The system embeds into workflows to generate marketing copy, documentation, emails and other text while enforcing brand, style and compliance rules. It includes a language model, style guides, snippets, terminology management and analytics, all designed to maintain consistency across teams. Clients use Writer to accelerate content production, reduce revisions and ensure regulatory adherence without sacrificing human oversight.
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