ML Architect

Job Title : AI / ML Engineer

Location : Charlotte, NC (Hybrid)

Employment Type : W2 Only (No C2C / 1099)

Duration : 12+ Months

About the Role

We are seeking a highly skilled AI / ML Engineer to design, build, and optimize advanced AI systems leveraging Retrieval-Augmented Generation (RAG), multi-modal models, and agentic architectures. This role combines deep technical expertise with strategic vision to deliver production-grade AI solutions at scale. You will work on cutting-edge technologies, including large-scale knowledge bases, vector search, and autonomous AI agents, driving innovation end-to-end.

Key Responsibilities

• Architect & Optimize RAG Pipelines : Build complex RAG systems for multi-domain knowledge bases, TB-scale datasets, and advanced chunking / indexing strategies.
• Lead Multi-Modal AI Experiments : Develop solutions across text, image, and diagram-based use cases.
• Knowledge Graph Solutions : Design and maintain graph-driven retrieval and reasoning systems.
• Agentic AI Systems : Create autonomous, task-oriented agents with tool augmentation beyond conversational AI.
• Research & Evaluation : Stay ahead of emerging AI techniques; define evaluation frameworks for performance, safety, and reliability.
• Observability & Monitoring : Implement telemetry, tracing, and error detection for LLM-driven workflows.
• Hands-On Development : Work with OpenAI APIs and similar platforms; apply prompt engineering and LLM design patterns.
• Software Engineering : Develop robust Python-based solutions for data processing, orchestration, and integration.
• Vector Database Optimization : Leverage vector stores for semantic search and scalable indexing.

Qualifications

Nice to Have