Lead AI Engineer
Primary stack
LangChainTensorFlowPythonAICrewAIQdrantChromaAutoGenHugging Face TransformersPyTorch
Nice to have's
RAG architecturesvector databasesreal-time or streaming data pipelinesscalable system designmicroservices architectureDatabricksPySparkCloud Data SolutionsETL Pipelines
Job description
About the Position
We are seeking a Lead AI Engineer with 8-13 years of experience to lead AI and machine learning projects in India.
Skills
- AI Solution Engineering
- Python
- PyTorch
- TensorFlow
- Hugging Face Transformers
- LangChain
- Retrieval-Augmented Generation (RAG)
- AutoGen Framework
- CrewAI
- Qdrant
- Chroma
- AWS Bedrock
- Azure OpenAI Service
- Azure Machine Learning
- Google Vertex AI
- Docker
- Kubernetes
- CI/CD
- REST API
- Microservice Architecture Style
- MLOps
- AI Governance
- Ethics of AI
- AI Ethics
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
We Offer
- Opportunity to work on technical challenges that may impact across geographies
- Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
- Opportunity to share your ideas on international platforms
- Sponsored Tech Talks & Hackathons
- Unlimited access to LinkedIn learning solutions
- Possibility to relocate to any EPAM office for short and long-term projects
- Focused individual development
- Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits
- Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
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