Senior AI Engineer - Multi-Agent Frameworks
Builds backend platform for multi-agent AI systems, integrating multiple LLMs and orchestration frameworks like LangGraph. Requires deep expertise in AI/ML, agent workflows, evaluation, privacy, and search integration.
About the job
Key Responsibilities
- 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.
Qualifications
- 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.
Skills
LLMs, LangGraph, OpenAI, Anthropic, Cohere, Multi-Agent Frameworks, Ai Orchestration, Machine Learning, Search Technologies, Evaluation Frameworks
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