AI Engineer
Core
Design, build, and deploy AI solutions including LLMs and traditional ML models from PoC to production.
Role type
AI Engineer (LLMs & Machine Learning)
Builds
Production-ready AI models and ML pipelines
Domain
Artificial Intelligence, Machine Learning, Generative AI
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, LangChain, LlamaIndex, prompt engineering, RAG, fine-tuning, embeddings, vector databases, supervised/unsupervised learning, MLOps, Docker, Kubernetes, CI/CD, MLflow, model serving, SQL
Preferred skills
Experience with on-premises infrastructure
Technologies
Qdrant, pgvector, vLLM, Triton, LangChain, LlamaIndex, MLflow
Responsibilities
Implementing and integrating AI models (fine-tuning, RAG, ML pipelines), Deploying models to production and maintaining them (MLOps, monitoring, evaluation), Working with data: feature engineering, data quality, and dataset preparation
Seniority
Individual Contributor