Senior AI Engineer
Core
Design, train, and deploy production-ready AI solutions including traditional ML, LLMs, and computer vision across the full stack.
Role type
Senior IC AI Engineer (ML/LLM/CV)
Builds
Intelligent AI services, micro-services, and event-driven automation workflows
Domain
Artificial Intelligence, Machine Learning, Large Language Models, Computer Vision
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, pandas, NumPy, Git, CI/CD, SQL, data wrangling, statistical testing, time-series analysis, prompt engineering, RAG pipelines, autonomous agent development, model fine-tuning, micro-service architecture, orchestration tools (Airflow, Prefect), MLOps/LLMOps tooling
Preferred skills
C++, C#, Docker, Kubernetes, cloud AI services, vector databases, BI tools (Power BI, Tableau, Streamlit), time-series frameworks (Prophet, statsmodels), MLOps/LLMOps tooling (DVC, W&B, BentoML), image processing, Spark, PySpark, Databricks, AWS EMR, GCP Dataproc, large-scale data lake architectures
Technologies
PyTorch, TensorFlow, scikit-learn, pandas, NumPy, OpenCV, Hugging Face Transformers, LangChain, MLflow, Airflow, Prefect, Docker, Kubernetes, Power BI, Tableau, Streamlit, Prophet, statsmodels, DVC, W&B, BentoML, Spark, PySpark
Responsibilities
Design, train, and evaluate models spanning classical ML, deep learning, and generative AI; conduct exploratory data analysis and forecasting; build reproducible end-to-end pipelines for data ingestion and training; craft prompts and RAG pipelines for LLMs; expose AI components as micro-services and integrate with business APIs; track advances in AI and share insights; mentor junior engineers and contribute to technical direction
Seniority
Senior, hands-on IC with mentorship responsibilities