Description

You will lead the architecture, design, and implementation of Generative AI-powered solutions.

This role is on-site.

Responsibilities

• Lead architecture, design, and implementation of GenAI solutions.
• Collaborate with cross-functional teams to integrate GenAI capabilities into products.
• Develop and maintain scalable RESTful and GraphQL APIs for AI services.
• Build and optimize ML pipelines and data systems for performance and reliability.
• Mentor junior engineers and contribute to technical leadership.

Required Skills

• 5+ years of experience in AI/ML roles.
• Proficiency in Python.
• Experience with TensorFlow, PyTorch, and LangChain.
• Strong understanding of Generative AI models, LLMs, transformers, and prompt engineering.
• Experience developing and maintaining APIs (RESTful, GraphQL).
• Hands-on expertise with MLflow, Kubeflow, or Airflow for ML pipelines.
• Solid experience with AWS, Azure, or GCP and cloud-native deployment (Docker, Kubernetes).
• Familiarity with vector databases (Pinecone, FAISS) and RAG frameworks.

Preferred Skills

• Bachelor's degree in Computer Science, Engineering, or related field.

Key Skills

Education

Any Graduate