Revolutionizing productivity in communication platforms through the delivery of AI Companion innovations by developing and deploying intelligent agent systems.
Requirements
- Machine Learning Engineer specializing in LLMs, autonomous agents and agentic AI
- Expertise in NLP and transformer architectures
- Experience with production ML systems
- Programming skills in Python or Java, with deep learning frameworks (PyTorch, Transformers, LangChain)
- Experience with cloud infrastructure stack (Kubernetes, Docker, AWS)
Responsibilities
- Designing and implementing agent architectures that can reason about tasks, plan actions, and execute solutions
- Developing prompt engineering frameworks and techniques for reliable agent behavior
- Implementing safety mechanisms and oversight protocols for autonomous systems
- Building and maintaining LLM-powered services using models like GPT-4, Claude, and internal models
- Optimizing model infrastructure for low latency and high throughput
- Building robust testing frameworks for agent behavior validation
Other
- Possess a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, or a related field
- Have 5+ years of experience in ML engineering
- Our structured hybrid approach is centered around our offices and remote work environments.
