Description

Develop and deploy generative AI and machine learning applications in production.

This role is on-site.

Responsibilities

• Build and maintain RAG-based solutions using vector databases and embeddings.
• Integrate LLM APIs including OpenAI, Azure OpenAI, Claude, and Gemini.
• Develop and expose REST APIs using FastAPI or Flask.
• Deploy applications using Docker and cloud platforms (AWS, Azure, GCP).
• Monitor, optimize, and maintain AI applications in production environments.

Required Skills

• 5+ years of experience in AI/ML Engineering or Software Development.
• Proficiency in Python and Machine Learning libraries.
• Hands-on experience with Generative AI, LLMs, and RAG applications.
• Knowledge of vector databases and semantic search.
• Experience with LangChain, LlamaIndex, and embedding techniques.
• Strong understanding of API development and deployment best practices.
• Experience with Git, Docker, and cloud infrastructure.

Preferred Skills

• Experience deploying models at scale across multi-cloud environments.
• Background in cross-functional collaboration for AI-powered product delivery.

Key Skills

Education

Any Graduate