Software Engineer: AI Agent Capabilities

Role responsibilities

Develop and expand AI agent capabilities by translating emerging model behaviors into reliable product features. Own the end-to-end lifecycle of capabilities across the agent harness, backend services, and user interfaces.

Requirements

Requires strong Python proficiency and a deep understanding of agent engineering fundamentals like planning and tool calling. Candidates must demonstrate full-stack flexibility and the ability to own complex systems from design through production.

Key skills

Python, Django, React, TypeScript, Agent Engineering, Systems Design, Full-stack Development, API Design, Orchestration, Context Management, Analytical Debugging, Product Judgment, State Management, Tool Calling, Asynchronous Systems, Observability

Keywords

AI Agents, Python, Django, React, TypeScript, LLM, Reasoning, Planning, Memory, Tool Use, Multimodal Interaction, Agent Collaboration, Orchestration, Structured Outputs, API, CRM, Observability, Production Operations, System Design, Agent Harness, Latency, Reliability, Safety, Evaluation Datasets, Product Hunt, Executive Assistant, Backend, Frontend, Asynchronous Systems, State Management