Total 2 job vacancies by Sovrun

Roblox Game Developer (Backend & Gameplay Focus)Responsibilities

• Game Development: Design, develop, and implement game mechanics, systems, and features using Roblox Studio and Lua scripting.
• Backend Systems: Develop robust and scalable backend infrastructure to handle multiplayer gameplay, leaderboards, and data persistence.
• Collaboration: Work closely with designers and other developers to align technical solutions with gameplay vision.
• Testing & Optimization: Perform debugging, testing, and performance optimization to ensure smooth gameplay experiences across devices.
• Maintenance: Provide ongoing support and updates for live games, ensuring reliability and bug-free performance.

Qualifications

• Experience: Minimum 2+ years of hands-on experience in Roblox game development with a focus on backend systems and gameplay.
• Portfolio: A portfolio showcasing at least 2 published Roblox games (links or descriptions required), emphasizing your contributions to backend or gameplay systems.
• Technical Skills:
• Proficiency in Lua scripting within Roblox Studio.
• Knowledge of data storage systems (e.g., DataStores, MemoryStore) for Roblox.
• Understanding of multiplayer game mechanics and networking on Roblox.
• Familiarity with version control systems (e.g., Git).
• Problem-Solving: Strong debugging skills and ability to optimize code for performance.
• Communication: Excellent ability to document and explain technical concepts, collaborate with non-technical team members, and contribute to creative brainstorming.

Nice-to-Have Skills

• Experience with cloud integration (e.g., AWS, Azure) for additional backend functionality.
• Familiarity with game monetization strategies within Roblox (e.g., Game Passes, Developer Products).
• Understanding of Roblox Analytics and user behavior data tracking.
• Basic understanding of 3D environments (for integration purposes, not asset creation).

Perks & Benefits

• Competitive salary.
• Opportunity to work on high-visibility Roblox games with a passionate team. We ship very, very fast.
• Flexible work hours and remote-friendly environment.

We are seeking an experienced AI Engineer specializing in multi-agent LLM systems. This role requires a deep understanding of constructing, training, and deploying AI agents that can dynamically execute Python-based functions in response to specified needs. As part of our team, you’ll develop agents that can autonomously select and perform functions based on contextual requirements and work seamlessly within a robust AWS infrastructure.

Responsibilities:

• 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, optimizing for accuracy and efficiency.
• Develop frameworks for dynamic task assignment within multi-agent systems, enabling agents to coordinate and collaborate effectively on complex workflows.
• Deploy and manage the multi-agent system within the AWS environment (e.g., Lambda, SageMaker, EC2), ensuring scalability and resilience.
• Work closely with cross-functional teams to define function requirements and develop APIs or connectors for seamless task execution.
• Implement strategies to improve model performance in function execution, covering error handling, retry mechanisms, and adaptability to changing requirements.
• Document designs, workflows, and function-specific agent behaviors to support team collaboration and product transparency.

• Proven Experience: 1+ years working with LLMs, with a strong focus on developing function-driven multi-agent systems.
• Technical Skills: Expertise in Python and experience with custom function execution within LLM frameworks; skilled in prompt engineering, model fine-tuning, and dynamic function mapping. Experience 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.
• Web3 Knowledge: Familiarity with blockchain principles and web3 technologies is a plus.
• Problem-Solving Skills: Experience developing autonomous, adaptable agents capable of selecting and performing tasks based on contextual cues.
• Communication: Strong documentation skills for cross-functional alignment and clear communication of complex workflows.

Preferred Qualifications:

• Experience with reinforcement learning or decision-making models to enhance autonomous task selection.
• Familiarity with Docker and Kubernetes for robust, containerized deployments.
• Previous experience in web3 or blockchain environments, including working with smart contracts or decentralized applications.

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