Machine Learning Engineer focused on large language models and autonomous agent systems, driving AI companion innovations on a communication platform using Python and AWS.
About the role
Key Responsibilities
Design, train, and fine‑tune large language models for context‑aware agent interactions.
Develop autonomous agent architectures that make decisions and execute complex tasks across the platform.
Integrate agentic AI components into production services, ensuring scalability and reliability on AWS.
Collaborate with cross‑functional teams to define use cases, gather requirements, and iterate on product features.
Monitor model performance, conduct A/B testing, and implement continuous improvement pipelines.
Requirements
5+ years of experience in machine learning with a focus on LLMs and agentic systems.
Strong background in natural language processing, reinforcement learning, and decision‑making algorithms.
Excellent problem‑solving skills and ability to translate business needs into technical solutions.
Effective communication skills and experience working in an agile, collaborative environment.