Lead AI Engineer

EPAM Systems; India; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

EPAM Systems is looking for an experienced Lead AI Engineer to pioneer AI and machine learning solutions. You will build scalable AI/ML models, design data workflows, and develop LLM applications. A strong background in Python and AI Engineering is required, as well as expertise in cloud platforms and MLOps tools.

The ideal candidate will also possess effective communication skills and the ability to lead diverse teams. Join us in shaping impactful AI-driven solutions.

Qualifications

• 8-13 years of general IT experience.
• 8+ years of experience in AI Engineering.
• At least 1 year of relevant leadership experience.
• Strong programming skills in Python.
• Hands-on experience with ETL and Data Pipelines.

Responsibilities

• Build and deploy scalable AI/ML models and GenAI solutions.
• 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.

Skills

Python Programming

ML/DL Frameworks

ETL and Data Pipelines

APIs Development

MLOps Tools

Cloud Platforms (Azure/AWS/GCP)

Prompt Engineering

Strong English Communication

Tools

TensorFlow

PyTorch

Scikit-learn

LangChain

Hugging Face

MLflow

Kubeflow

Airflow

Job description

We are looking for an experienced Lead AI Engineer to pioneer innovative AI and machine learning solutions, shaping the development and deployment of cutting‑edge generative AI applications. This role offers the opportunity to lead the charge in creating AI‑driven efficiencies and impactful business outcomes while collaborating with diverse teams across the organization.

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

• 8-13 years of general IT experience
• 8+ years of experience in AI Engineering
• At least 1 year of relevant leadership experience
• Strong programming skills in Python
• Hands‑on experience with ETL and Data Pipelines
• Expertise in ML/DL frameworks such as TensorFlow, PyTorch, Scikit‑learn
• Understanding of Prompt Engineering and working with LLMs
• Familiarity with LLM frameworks like LangChain, LlamaIndex, Hugging Face
• Cloud experience with Azure, AWS, or GCP
• Proficiency in MLOps tools like MLflow, Kubeflow, Airflow
• Strong experience in API development and Model Deployment
• B2 level of English or higher, with an emphasis on technical communication skills

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
• Showcase of expertise in Databricks, PySpark
• Background in Cloud Data Solutions and ETL Pipelines