Senior AI Engineer

EPAM Systems; India; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

EPAM Systems is looking for a talented Senior AI Engineer in India to lead the development of innovative AI/ML models and GenAI solutions. This role will involve collaboration across various functions, aiming to create systems that address real-world business challenges.

The ideal candidate will have 5-8 years of IT experience, with a strong background in AI Engineering, proficient programming in Python, and familiarity with ML frameworks such as TensorFlow and PyTorch.

Qualifications

• 5-8 years of general IT experience.
• 5+ years of experience in AI Engineering.
• English level of minimum B2 (Upper-Intermediate) for effective communication.

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.

Skills

Python programming

AI Engineering

ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn)

ETL and data pipelines

Prompt engineering

API development

Cloud services (Azure, AWS, GCP)

Tools

MLflow

Kubeflow

Airflow

LangChain

LlamaIndex

Hugging Face

Databricks

PySpark

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.
• Familiarity with Databricks and PySpark.
• Experience with cloud data solutions and ETL pipelines.