Remote AI LLM Agent Engineer

Description:

• The AI LLM Agent Engineer will design, build, and fine-tune LLM models and multi-modal models to address complex business challenges.
• Responsibilities include implementing large language model (LLM) agents and integrating various data modalities such as text, image, audio, and video.
• The role requires strong hands-on coding expertise, particularly in Python development, and specialized knowledge in LLM-based agent design and development.
• Key responsibilities include conceptualizing and implementing POCs for multi-modal solutions, writing and maintaining clean and efficient code, and designing scalable LLM agent frameworks.
• The engineer will monitor and optimize agent frameworks, implement model explainability techniques, and ensure robustness across different data types.
• The position involves reading and implementing research papers into practical solutions and ensuring adherence to ethical AI practices.

Requirements:

• Extensive experience in coding LLM agents with advanced proficiency in Python (3.10+) and knowledge of frameworks such as PyTorch.
• 1-2 years of experience in fine-tuning LLMs and deploying LLM agents, with practical experience in AWS Bedrock and other relevant platforms.
• Proven track record of developing high-quality Python code, including experience with advanced Python features and best practices.
• Intermediate understanding of model/agent engineering and practical experience in fine-tuning models for specific use cases.
• Intermediate knowledge in deploying models and agents on cloud platforms, particularly AWS, and implementing serverless architectures.
• Expertise in debugging and fixing issues related to LLMs, including identifying root causes of errors and optimizing system performance.
• Excellent written and verbal communication skills in English, with the ability to present technical concepts clearly.
• Experience in understanding and implementing the latest technologies and research papers into solutions.
• Intermediate development knowledge of multimodal and voice-based agents is preferred.

Benefits:

• The position offers health insurance, paid time off (PTO), and leave time.
• Ongoing paid professional training and certifications are provided.
• There is a fully remote work opportunity available.
• A strong onboarding and training program is in place to support new hires.