Description

You will design and develop scalable Agentic AI solutions, including multi-agent workflows and autonomous systems. You will build and optimize RAG pipelines, with a focus on Graph RAG for enterprise knowledge retrieval. You will develop LLM-powered applications using LangChain, LangGraph, vector databases, and FastAPI. You will collaborate with cross-functional teams to translate business needs into technical solutions and lead client-facing AI transformation initiatives. You will mentor junior engineers and stay current with advancements in LLM orchestration.

Responsibilities

• Design and implement scalable Agentic AI solutions and multi-agent workflows.
• Build and optimize RAG pipelines, including advanced Graph RAG implementations.
• Develop LLM-powered applications using LangChain, LangGraph, and FastAPI.
• Deploy AI/ML solutions on cloud platforms such as AWS, Azure, or GCP.
• Mentor junior engineers and lead technical delivery for client-facing initiatives.

Required Skills

• 6+ years of professional experience in AI/ML engineering.
• Strong proficiency in Python.
• Experience with LangChain, LangGraph, and vector databases.
• Proficiency in PyTorch and/or TensorFlow.
• Cloud deployment experience (AWS, Azure, or GCP).
• Solid foundation in Machine Learning, Deep Learning, and NLP.
• Experience with Docker and Kubernetes.

Preferred Skills

• Experience with Graph RAG and knowledge graph-based AI systems.
• Client-facing experience and technical leadership.

Key Skills

Education

Bachelor's degree