Software Engineer, Agents

Writer Writer · AI Frontier · New York, NY · Engineering, product & design

Software engineer role focused on building and scaling advanced AI-driven agent systems that execute autonomous workflows and orchestrate multi-step tasks for enterprise applications. Integrates agent capabilities with various backend services and data stores, ensuring reliability and observability.

What you'd actually do

  1. Design, implement, and maintain scalable, secure agent-driven services and systems that autonomously accomplish tasks using modern AI frameworks.
  2. 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.
  3. Integrate agent capabilities with backend services, data stores, vector databases, search/retrieval systems, and external APIs.
  4. Collaborate with product managers, AI researchers, data engineers, and UX teams to translate high-level agent use cases into robust, production-ready software.
  5. Ensure reliability, monitoring, and observability for all agent components (metrics, logging, CI/CD, fault tolerance).

Skills

Required

  • 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.

Nice to have

  • Experience with frontend technologies (React, TypeScript) for tooling around agent management interfaces.

What the JD emphasized

  • native agentic coding
  • agent frameworks
  • agent orchestration patterns
  • AI agents that coordinate multi-step actions, reasoning, or autonomous decision-making loops

Other signals

  • building and deploying AI agents
  • enterprise-grade LLMs
  • AI-driven agent systems
  • autonomous workflows
  • orchestrate multi-step tasks