About the job
We’re seeking a highly skilled fullstack software engineer to join our engineering team building advanced AI-driven agent systems that execute autonomous workflows, orchestrate multi-step tasks, and extend human capacity across enterprise applications. In this role, you’ll play a key part in designing, building, and scaling next-generation AI agents that integrate with enterprise data and services to solve real-world problems. You will collaborate with cross-functional teams to turn complex agent concepts into production-ready systems.
Responsibilities
- 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.
Qualifications
Minimum
- 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.
Preferred
- 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.