Description

Build and deploy GenAI applications, autonomous agents, and scalable RAG services using Python, cloud platforms, and LLMOps practices.

This role is on-site.

Responsibilities

• Build GenAI applications leveraging foundation models and advanced architectures like GraphRAG.
• Develop autonomous AI agents using modern agentic frameworks.
• Design and deploy RAG and GenAI services using Python (FastAPI), Docker, and cloud platforms.
• Implement LLM evaluation frameworks to measure answer relevance, groundedness, and hallucination rates.
• Apply LLMOps/MLOps practices including CI/CD, prompt management, and monitoring of latency and cost.

Required Skills

• 5+ years of experience in software engineering or AI development.
• Strong proficiency in Python and FastAPI for building scalable REST APIs.
• Experience with Docker and containerization for deployment.
• Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP.
• Knowledge of CI/CD pipelines and LLMOps/MLOps practices.
• Ability to implement LLM evaluation frameworks (e.g., Ragas, LangSmith).
• Familiarity with embeddings, knowledge graphs, and ontology extraction.

Preferred Skills

• Experience with GraphRAG and agentic AI architectures.
• Background in mentoring developers and collaborating across engineering teams.

Key Skills

Education

Any Gradute