Remote AI Developer (LLM and Python)

Description:

• 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 include designing, implementing, and deploying AI agents that can autonomously learn to select and execute custom functions using Python.
• You will train agents to recognize contextual prompts and determine the necessary function to perform specific tasks, optimizing for accuracy and efficiency.
• You will develop frameworks for dynamic task assignment within multi-agent systems, enabling agents to coordinate and collaborate effectively on complex workflows.
• The role involves deploying and managing the multi-agent system within the AWS environment (e.g., Lambda, SageMaker, EC2), ensuring scalability and resilience.
• You will work closely with cross-functional teams to define function requirements and develop APIs or connectors for seamless task execution.
• Implementing strategies to improve model performance in function execution, covering error handling, retry mechanisms, and adaptability to changing requirements is also part of the job.
• You will document designs, workflows, and function-specific agent behaviors to support team collaboration and product transparency.

Requirements:

• Proven experience of 1+ years working with LLMs, with a strong focus on developing function-driven multi-agent systems is required.
• Technical skills include 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 technologies is a plus.
• AWS expertise is necessary, with a demonstrated ability to deploy and manage models within AWS, using Lambda, SageMaker, EC2, and other essential AWS tools.
• Familiarity with blockchain principles and web3 technologies is a plus.
• Problem-solving skills are essential, with experience developing autonomous, adaptable agents capable of selecting and performing tasks based on contextual cues.
• Strong communication skills are required, particularly for documentation to ensure cross-functional alignment and clear communication of complex workflows.

Benefits:

• The position offers Health Maintenance Organization (HMO) coverage.
• Employees have the option to work from home.
• Tokens are provided as part of the compensation package.
• Leave credits are available for employees.
• Opportunities for training and development are included to enhance professional growth.