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 arenāt just participants but architects of their gaming experiences.
Job Summary
Responsibilities:
šDesign, implement, and deploy AI agents that can autonomously learn to select and execute custom functions using Python. šTrain agents to recognize contextual prompts and determine the necessary function to perform specific tasks, optimizing for accuracy and efficiency. šDevelop frameworks for dynamic task assignment within multi-agent systems, enabling agents to coordinate and collaborate effectively on complex workflows. šDeploy and manage the multi-agent system within the AWS environment (e.g., Lambda, SageMaker, EC2), ensuring scalability and resilience. šWork closely with cross-functional teams to define function requirements and develop APIs or connectors for seamless task execution. šImplement strategies to improve model performance in function execution, covering error handling, retry mechanisms, and adaptability to changing requirements. šDocument designs, workflows, and function-specific agent behaviors to support team collaboration and product transparency.
Requirements
šProven Experience: 1+ years working with LLMs, with a strong focus on developing function-driven multi-agent systems. šExperience in using LangChain/LangFlow/LangGraph is required. šTechnical Skills: Expertise in Python and experience with custom function execution within LLM frameworks; skilled in prompt engineering, model fine-tuning, and dynamic function mapping. šExperience 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. šWeb3 Knowledge: Familiarity with blockchain principles and web3 technologies is a plus. šProblem-Solving Skills: Experience developing autonomous, adaptable agents capable of selecting and performing tasks based on contextual cues. šCommunication: Strong documentation skills for cross-functional alignment and clear communication of complex workflows.
Looking for your next challenge? The world of crypto offers exciting roles in blockchain development, web3 innovations, and remote opportunities.
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