onsite
GenAI Engineer - Arrow point
AI Engineer
GenAI Engineer crafting and deploying AI solutions using Python, PyTorch, and TensorFlow, orchestrated with Docker, Kubernetes, and AWS, while leveraging LangChain for advanced LLM integration.
About the role
Key Responsibilities
- Design, develop, and deploy GenAI models using Python, PyTorch, and TensorFlow.
- Integrate large language models with LangChain to build conversational and generative applications.
- Containerize services with Docker and manage deployments on Kubernetes clusters.
- Implement CI/CD pipelines and monitor model performance in AWS environments.
- Collaborate with cross‑functional teams to translate business requirements into scalable AI solutions.
Requirements
- Proven experience building GenAI solutions with Python and deep learning frameworks.
- Strong knowledge of LLM integration using LangChain or similar libraries.
- Hands‑on expertise in Docker, Kubernetes, and AWS services (SageMaker, ECS, EKS).
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative setting.
Skills
pythonpytorchtensorflowlangchaindockerkubernetesaws