Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions.
Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations.
Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination.
Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics.
Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent capabilities and collaboration.
Collaborate with cross-functional teams, including product managers, designers, and frontend engineers, to deliver a seamless user experience for building and deploying intelligent systems.
Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices within agent-based applications.
Contribute to improving search capabilities and integrating them into the AI platform to provide agents with essential information access.

Requirements

Proven experience working with multiple LLMs (e.g., OpenAI, Anthropic, Cohere, etc.) and understanding their strengths and limitations.
Expertise in orchestration software like LangGraph or similar frameworks used for building and managing agent workflows.
Strong background in developing evaluation frameworks for AI systems, particularly in complex testing environments.
Deep understanding of AI and machine learning fundamentals, with a focus on backend engineering.
Passion for staying updated with the latest developments in AI and applying them to real-world problems, particularly in the realm of agent technologies.
Experience with challenging AI privacy scenarios, including data anonymization, secure data handling, and compliance.
Experience with search technologies and their integration into AI systems.
Experience building or deploying Multi-Agent Frameworks or Multi-Agent Systems.

Benefits

Equity
401k
Health, Dental, and Vision insurance
Spending accounts
Life & Disability
Paid parental leave
Flexible paid time off
Enhanced employee assistance program
Employee wellness stipend
Professional development stipend

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI agentsLLMsLangGraphevaluation frameworksmachine learningbackend engineeringdata anonymizationsecure data handlingMulti-Agent FrameworksMulti-Agent Systems

Soft Skills

collaborationcommunicationproblem-solvingadaptabilityteamwork