AI Engineer
Core
Build, deploy, and optimize production-grade Machine Learning and Generative AI applications, integrating foundation models and AI agents into enterprise systems.
Role type
Senior IC AI/ML Engineer (Generative AI & MLOps)
Builds
AI-powered applications, RAG systems, LLM-based workflows, and scalable model inference services.
Domain
Enterprise Technology / Generative AI / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, PyTorch, TensorFlow, Scikit-learn, Hugging Face, RAG systems, LLM integration, Vector search, MLOps, AWS, Docker, Kubernetes
Preferred skills
LangChain, LlamaIndex, Semantic Kernel, LangGraph, CI/CD pipelines
Technologies
MLflow, Databricks, Snowflake, REST APIs, Kubernetes, AWS, Docker
Responsibilities
Design and build AI-powered applications and services; Train, fine-tune, and deploy ML models; Develop RAG systems and AI agents; Automate ML training and validation pipelines; Monitor model performance and detect drift; Collaborate with Solution Architects and Product Managers.
Seniority
Senior, hands-on IC
