Machine Learning Engineer
Core
Designing and implementing autonomous agent architectures that reason about tasks, plan actions, and execute complex solutions using LLMs.
Role type
Senior Machine Learning Engineer (LLMs and Autonomous Agents)
Builds
Intelligent agent systems and LLM-powered services for communication platforms
Domain
Generative AI, Large Language Models, Autonomous Agents
Deliverable
production ML models
Required skills
NLP, transformer architectures, Python, Java, C++, PyTorch, LangChain, TensorFlow, Scikit-learn, Kubernetes, Docker, AWS
Preferred skills
Prompt engineering frameworks, safety mechanisms for autonomous systems, robust testing frameworks for agent behavior
Technologies
GPT-4, Claude, PyTorch, Transformers, LangChain, TensorFlow, Scikit-learn, Kubernetes, Docker, AWS
Responsibilities
Designing agent architectures for reasoning and task execution; Developing prompt engineering frameworks; Implementing safety and oversight protocols; Building LLM-powered services; Building testing frameworks for agent validation
Seniority
Senior, hands-on IC