AI Engineer (Multi-Agent LLM Systems)
Description For AI Engineer (Multi-Agent LLM Systems)
Sovrun is seeking an experienced AI Engineer specializing in multi-agent LLM systems. This role focuses on building and deploying AI agents that can dynamically execute Python-based functions. The ideal candidate will have expertise in LLMs, Python programming, and AWS infrastructure. The position involves designing autonomous agents, implementing multi-agent systems, and ensuring seamless integration with AWS services. Key responsibilities include training agents for contextual task execution, developing coordination frameworks, and maintaining robust documentation. The role offers benefits including HMO, remote work options, and professional development opportunities. This is an excellent opportunity for AI engineers passionate about advancing multi-agent systems and working with cutting-edge LLM technology in a blockchain-oriented environment.
Responsibilities For AI Engineer (Multi-Agent LLM Systems)
- Design, implement, and deploy AI agents that can autonomously learn to select and execute custom functions using Python
- Train agents to recognize contextual prompts and determine the necessary function to perform specific tasks
- Develop frameworks for dynamic task assignment within multi-agent systems
- Deploy and manage the multi-agent system within the AWS environment
- Work closely with cross-functional teams to define function requirements and develop APIs
- Implement strategies to improve model performance in function execution
- Document designs, workflows, and function-specific agent behaviors
Requirements For AI Engineer (Multi-Agent LLM Systems)
- 1+ years working with LLMs, with a strong focus on developing function-driven multi-agent systems
- Expertise in Python and experience with custom function execution within LLM frameworks
- Demonstrated ability to deploy and manage models within AWS
- Familiarity with blockchain principles and web3 technologies is a plus
- Experience developing autonomous, adaptable agents
- Strong documentation skills
- Experience with reinforcement learning or decision-making models (preferred)
- Familiarity with Docker and Kubernetes (preferred)
- Previous experience in web3 or blockchain environments (preferred)
Benefits For AI Engineer (Multi-Agent LLM Systems)
- HMO
- Work From Home
- Tokens
- Leave Credits
- Training & Development
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