Senior AI Engineer RAG & LightRAG Framework Expert

Overview:

We are looking for a highly experienced AI Engineer to lead the design and development of advanced Retrieval-Augmented Generation (RAG) applications using the LightRAG framework. This role requires a deep understanding of natural language processing large language models (LLMs) and scalable system deployment in cloud environments particularly Microsoft Azure. This position is ideal for candidates who enjoy building high-impact production-grade AI systems

Tasks

Overview:

We are looking for a highly experienced AI Engineer to lead the design and development of advanced Retrieval-Augmented Generation (RAG) applications using the LightRAG framework. This role requires a deep understanding of natural language processing large language models (LLMs) and scalable system deployment in cloud environments particularly Microsoft Azure. This position is ideal for candidates who enjoy building high-impact production-grade AI systems

Requirements

Location: Remote (Open globally)
Work Hours: EST time zone
Engagement Type: Contract / Full-time (Specify as needed)

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Key Responsibilities:

• Architect and implement full RAG pipelines optimized for enterprise-grade use cases.
• Integrate and fine-tune state-of-the-art LLMs into the RAG architecture.
• Develop and manage scalable vector-based search solutions using ChromaDB PostgreSQL (Vector extensions) or equivalent.
• Build robust and secure AI workflows on Microsoft Azure leveraging its AI and ML toolsets.
• Optimize performance and latency of AI inference and retrieval mechanisms.
• Work closely with cross-functional engineering and data teams to ensure seamless system integration.
• Participate in code reviews performance tuning and system debugging.

Required Skills and Qualifications:

• 5 years of experience in AI/ML engineering including experience in LLM integration.
• Demonstrated experience building or leading RAG-based applications using LightRAG or similar frameworks.
• Strong programming skills in Python.
• Experience working with vector databases and similarity search (ChromaDB FAISS Weaviate PostgreSQL w/ vector).
• In-depth knowledge of Azure AI including deployments resource management and security.
• Strong understanding of transformer models embeddings and prompt optimization.
• Excellent problem-solving and communication skills.