We're looking for a senior AI Engineer with a strong backend background and deep experience building agentic AI systems to join our growing team.
Responsibilities:
Own the development of end-to-end AI agents, including both customer-facing agents and deep background agents. This includes designing agent architectures, building and maintaining agent tools, constructing and iterating on prompts, and continuously evaluating, operating, and improving the agent infrastructure in production.
Integrate large language models (LLMs) into production environments to enable autonomous task handling and decision-making.
Collaborate closely with engineering, product, and security teams to turn ambiguous problems and AI research into reliable, production-grade capabilities.
Requirements:
At least 4 years of hands-on backend software development experience, with a strong track record of designing, shipping, and operating scalable, maintainable production systems.
Proven experience building and operating agentic AI systems in production, including:
Building agentic solutions that actively serve real customers in live production environments.
Designing, implementing, and iterating on multiple Retrieval-Augmented Generation (RAG) techniques.
Constructing evaluation frameworks to continuously measure agent quality, reliability, and failure modes in production.
Experience designing and working with multi-agent architectures, including agent coordination, task decomposition, and clear responsibility boundaries.
Strong communication skills and the ability to work effectively within a highly collaborative, cross-functional environment.
Hands-on experience with AI development assistants such as Cursor is required, as they are part of our day-to-day development workflow.
At least 4 years of hands-on backend software development experience, with a strong track record of designing, shipping, and operating scalable, maintainable production systems.
Proven experience building and operating agentic AI systems in production, including:
Building agentic solutions that actively serve real customers in live production environments.
Designing, implementing, and iterating on multiple Retrieval-Augmented Generation (RAG) techniques.
Constructing evaluation frameworks to continuously measure agent quality, reliability, and failure modes in production.
Experience designing and working with multi-agent architectures, including agent coordination, task decomposition, and clear responsibility boundaries.
Strong communication skills and the ability to work effectively within a highly collaborative, cross-functional environment.
Hands-on experience with AI development assistants such as Cursor is required, as they are part of our day-to-day development workflow.
This position is open to all candidates.
