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
Production AI applications, RAG systems, AI agents, and scalable ML pipelines for enterprise clients.
Domain
Enterprise Technology / Generative AI / MLOps
Deliverable
production ML models | product features
Required skills
Python, SQL, PyTorch, TensorFlow, Hugging Face, RAG system design, LLM integration, vector search, model evaluation, feature engineering, MLOps pipelines, cloud infrastructure (AWS/Azure/GCP), Docker, Kubernetes
Preferred skills
LangChain, LlamaIndex, Semantic Kernel, LangGraph, CI/CD practices
Technologies
MLflow, Databricks, Snowflake, REST APIs, Kubernetes, Docker, AWS, Azure, GCP
Responsibilities
Design and build AI-powered applications and services; Train, fine-tune, and deploy ML models; Develop LLM-based applications and orchestration pipelines; Automate ML training and retraining pipelines; Monitor model performance and detect drift; Collaborate with Solution Architects and Product Managers on technical design.
Seniority
Senior, hands-on IC