AI engineer
Core
Designing, building, and deploying production-ready AI models and systems for business-critical operations including automation, RAG/CAG, and agentic AI.
Role type
Senior IC production AI engineer
Builds
Production AI systems, pipelines, and agentic workflows for enterprise clients
Domain
Enterprise IT distribution, cloud-based AI solutions
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, HuggingFace, Databricks, MosaicML, RAG/CAG pipelines, vector databases, reinforcement learning, model optimization, agentic AI frameworks, distributed systems, SQL, MLOps
Preferred skills
Azure, AWS, GCP, LangChain, LlamaIndex, MLflow, Kubeflow, Airflow, Weights & Biases, Neptune.ai
Technologies
Databricks, MosaicML, FAISS, Weaviate, Pinecone, Milvus, LangChain, LlamaIndex, MLflow, Kubeflow, Airflow, Spark, Snowflake
Responsibilities
Designing and deploying production AI models; developing training and inference pipelines; integrating AI with enterprise systems via APIs; optimizing inference performance; maintaining production systems; implementing trust and governance principles
Seniority
Senior, hands-on IC
