AI Engineer
- Posted
- Employment
- full time
- Work mode
- onsite
Skills explicitly mentioned: Python, PyTorch, TensorFlow, scikit-learn, XGBoost, LLM, RAG, Spark, Airflow, dbt, SQL, MLOps, AWS, GCP, Azure
Kensium is hiring an on-site AI Engineer in Hyderabad, India, for OmnifiCX. The role is full time, lists four to eight years of experience, has two positions open and was posted 5 June 2026. The engineer will design, build and deploy intelligent capabilities for a commerce platform, including smart order routing, predictive analytics, conversational assistants and automation pipelines. Responsibilities cover training and serving machine-learning models for routing, demand forecasting, fraud detection and intent prediction; creating end-to-end pipelines for ingestion, feature engineering, training, evaluation and inference; and selecting classical machine learning, transformers or large language models according to the problem. The engineer will integrate OpenAI, Anthropic and open-source Hugging Face models, design prompt, RAG and agentic workflows, and benchmark quality, latency, cost and safety. The role also builds feature and data pipelines, defines stores and schemas, supports batch and streaming flows, and maintains data quality, lineage and reproducibility. Required skills include Python, Pandas, NumPy, scikit-learn, XGBoost, LightGBM, PyTorch or TensorFlow, Spark, Airflow or dbt, SQL, FastAPI or Flask, model monitoring and CI/CD, and AWS, GCP or Azure. Experience with vector databases, Kafka or Kinesis, commerce systems and multi-step agents is preferred. The current first-party page includes a public role-specific form with name, email, phone, country, experience and resume controls, plus a careers email alternative; no data was entered or submitted.