Senior AI Engineer

Epam Systems

Chennai District, Coimbatore District

On-site

INR 3,000,000 - 6,000,000

Full time

14 days+
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Job summary

Epam Systems is seeking a Senior AI Engineer to lead the development of AI/ML models and GenAI solutions. The role involves building scalable models, ETL workflows, and deploying LLM-based applications in production.

You will implement prompt engineering, manage API deployments, and ensure end-to-end ownership from development to monitoring, collaborating with cross-functional teams to deliver business-driven AI solutions.

Qualifications

  • 5–8 years of general IT experience.
  • 5+ years of AI engineering experience.
  • Proficient in Python programming.
  • Experience with ETL pipelines and data workflows.
  • Experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with prompt engineering and LLMs.
  • Familiarity with LangChain, LlamaIndex, Hugging Face.
  • Cloud experience with Azure, AWS or GCP.
  • Experience with MLOps tools: MLflow, Kubeflow, Airflow.
  • Strong API development and model deployment experience.
  • English minimum B2 (Upper-Intermediate).

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.

Skills

Python
ETL pipelines
ML/DL frameworks
LLMs
Prompt engineering
API development
Cloud platforms

Tools

MLflow
Kubeflow
Airflow
TensorFlow
PyTorch
Scikit-learn
LangChain
LlamaIndex
Hugging Face
Azure
AWS
GCP

Job description

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
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