onsite
AI/LLM Engineer
LLM Engineer
Design, develop, and deploy AI-driven autonomous agents on AWS and Azure, leveraging container orchestration and large language models to deliver scalable, production‑ready solutions.
About the role
Key Responsibilities
- Architect and implement autonomous AI agents that integrate with AWS services and Azure cloud environments.
- Develop, containerize, and orchestrate micro‑services using Docker, Kubernetes, or similar platforms.
- Fine‑tune and deploy large language models (LLMs) for specific business use cases, ensuring performance and reliability.
- Collaborate with data scientists and software engineers to build end‑to‑end pipelines from model training to production.
- Monitor, troubleshoot, and optimize deployed agents for cost efficiency, latency, and scalability.
Requirements
- Strong proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow).
- Hands‑on experience with AWS (SageMaker, Lambda, ECS/EKS) and Azure (ML, AKS) services.
- Proven expertise in containerization and orchestration technologies such as Docker and Kubernetes.
- Solid understanding of large language models, prompt engineering, and model fine‑tuning.
- Ability to work in a fast‑paced environment, communicate technical concepts clearly, and deliver production‑grade solutions.
Skills
pythonawsazuremachine learning