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 AI Engineer (Full Stack)
Builds
Intelligent AI services, micro-services, and event-driven workflows
Domain
Artificial Intelligence / Machine Learning / Generative AI
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, pandas, NumPy, Machine Learning algorithms, Deep Learning fundamentals, Data wrangling, Visualization, Git, CI/CD, Prompt engineering, RAG pipelines, Autonomous agents, Fine-tuning LLMs, Micro-services architecture, Orchestration tools (Airflow, Prefect)
Preferred skills
C++, Docker, Kubernetes, Vector databases, BI tools, MLOps/LLMOps tooling, Image processing, Spark, SQL, 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, Weights & Biases, BentoML, PySpark, Databricks, AWS EMR, GCP Dataproc
Responsibilities
Design, train, and evaluate models spanning classical ML, deep learning, and generative AI; Conduct exploratory data analysis and time-series forecasting; Build reproducible end-to-end pipelines for data ingestion, feature engineering, and monitoring; Craft prompts and RAG pipelines for LLMs and autonomous agents; Expose AI components as micro-services and integrate with business APIs; Track advances in AI and share insights with the team; Mentor junior engineers and contribute to technical direction
Seniority
Senior, hands-on IC