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Senior AI Engineer

EPAM·Salary not specified

Primary stack

LangChainScikit-learnLlamaIndexHugging FaceTensorFlowPythonETLAPIPyTorch

Nice to have's

RAG architecturesvector databasesreal-time data pipelinesstreaming data pipelinesscalable system designmicroservices architectureDatabricksPySparkcloud data solutionsETL pipelines

Job description

About the Position

We are seeking a talented and driven Senior AI Engineer to join our team and lead the development of cutting-edge AI/ML models and GenAI solutions. This role offers an exciting opportunity to collaborate across functions and create innovative systems that solve real-world business problems.

Responsibilities

  • Build and deploy scalable AI/ML models and GenAI solutions in production
  • Design and maintain robust ETL pipelines and data workflows
  • Develop LLM-based applications using modern frameworks
  • Implement prompt engineering techniques for optimized AI outputs
  • Deploy models via APIs and integrate with enterprise applications
  • Ensure end-to-end ownership, including development, deployment, monitoring, and optimization
  • Collaborate with cross-functional teams to deliver business-driven AI solutions

Requirements

  • 5-8 years of general IT experience
  • 5+ years of experience in AI Engineering
  • Strong programming skills in Python
  • Hands-on experience with ETL and data pipelines
  • Experience with ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn
  • Experience in prompt engineering and working with LLMs
  • Familiarity with LLM frameworks: LangChain, LlamaIndex, Hugging Face
  • Cloud experience working with Azure, AWS, or GCP
  • Experience with MLOps tools such as MLflow, Kubeflow, and Airflow
  • Strong experience in API development and model deployment
  • English level of minimum B2 (Upper-Intermediate) for effective communication

Nice to Have

  • Experience with RAG architectures and vector databases
  • Knowledge of real-time or streaming data pipelines
  • Exposure to scalable system design and microservices architecture
  • Familiarity with Databricks and PySpark
  • Experience with cloud data solutions and ETL pipelines

Locations

  • Hyderabad, India
  • 3 other locations

About the Company

[Company description if present]

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