About the company
Sovrun is redefining gaming by empowering players to truly own their digital assets and take an active role in shaping their virtual worlds. Our innovative ecosystem bridges the gap between accessible features like NFTs and token-based ownership to immersive experiences like co-creating fully on-chain games and Autonomous Worlds (AWs). Whether it's crafting unique assets, driving player-led economies, or building on composable and modular platforms, Sovrun is paving the way for a new era of gaming. Join us in shaping the future of interactive entertainment where players aren’t just participants but architects of their gaming experiences.
Job Summary
Responsibilities:
đź“ŤDesign, implement, and deploy AI agents that can autonomously learn to select and execute custom functions using Python. đź“ŤTrain agents to recognize contextual prompts and determine the necessary function to perform specific tasks, optimizing for accuracy and efficiency. đź“ŤDevelop frameworks for dynamic task assignment within multi-agent systems, enabling agents to coordinate and collaborate effectively on complex workflows. đź“ŤDeploy and manage the multi-agent system within the AWS environment (e.g., Lambda, SageMaker, EC2), ensuring scalability and resilience. đź“ŤWork closely with cross-functional teams to define function requirements and develop APIs or connectors for seamless task execution. đź“ŤImplement strategies to improve model performance in function execution, covering error handling, retry mechanisms, and adaptability to changing requirements. đź“ŤDocument designs, workflows, and function-specific agent behaviors to support team collaboration and product transparency.
Requirements
đź“ŤProven Experience: 1+ years working with LLMs, with a strong focus on developing function-driven multi-agent systems. đź“ŤExperience in using LangChain/LangFlow/LangGraph is required. đź“ŤTechnical Skills: Expertise in Python and experience with custom function execution within LLM frameworks; skilled in prompt engineering, model fine-tuning, and dynamic function mapping. đź“ŤExperience in OpenAI Swarm and other relevant tech is a plus. AWS Expertise: Demonstrated ability to deploy and manage models within AWS, using Lambda, SageMaker, EC2, and other essential AWS tools. đź“ŤWeb3 Knowledge: Familiarity with blockchain principles and web3 technologies is a plus. đź“ŤProblem-Solving Skills: Experience developing autonomous, adaptable agents capable of selecting and performing tasks based on contextual cues. đź“ŤCommunication: Strong documentation skills for cross-functional alignment and clear communication of complex workflows.
If you’re passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.
