Description

You will architect and integrate next-generation AI solutions focused on enterprise AI.

Responsibilities

• Lead the development and integration of LLMs and multi-agent orchestration frameworks.
• Design and implement Retrieval Augmented Generation (RAG) pipelines.
• Shape the strategic direction for enterprise AI adoption.
• Serve as a technical lead across cross-functional teams.

Required Skills

• 10+ years of experience in AI/ML architecture, specializing in Generative AI.
• Strong proficiency with LLMs (e.g., GPT, BERT) and deep learning frameworks (TensorFlow, PyTorch).
• Proven experience setting up, configuring, and integrating Model Context Protocol (MCP).
• Hands-on experience with LLM orchestration tools: LangChain, LangGraph, CrewAI.
• Expertise in cloud platforms: AWS, Azure, or GCP.
• Proficiency with containerization technologies: Docker, Kubernetes.
• Solid foundation in data structures, algorithms, and software architecture.

Preferred Skills

• Experience with RAG pipelines.
• Familiarity with DevOps/MLOps toolchains.

Key Skills

Education

Bachelor's or Master's degrees