Description

Design and deploy enterprise Generative AI solutions, including LLMs, RAG, and multi-agent systems, while owning the end-to-end architecture, development, and production deployment.

This role is on-site.

Responsibilities

• Architect scalable AI applications and APIs using Python, FastAPI, and cloud-native principles.
• Build intelligent copilots, agentic workflows, and autonomous systems for business process automation.
• Implement semantic search, vector databases, embeddings, and knowledge retrieval solutions.
• Integrate AI capabilities with enterprise data sources, Snowflake Cortex AI, and cloud platforms.
• Establish MLOps practices, including monitoring, governance, and continuous model evaluation.

Required Skills

• 10+ years of experience in software engineering or AI development.
• Strong proficiency in Python and FastAPI for building scalable services.
• Deep understanding of LLMs, Prompt Engineering, and RAG architectures.
• Experience designing AI Agents and multi-agent systems.
• Hands-on with containerization (Docker, Kubernetes) and CI/CD pipelines.
• Familiarity with Azure cloud services and Snowflake.
• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree