AI ML Engineer

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Role: AI/ML Engineer

Location: Erie, PA (Onsite)

Duration: Long Term

Skills:

8 years of professional experience in AI/ML engineering.

Strong proficiency in Python (advanced level required).

Proven expertise in: LangChain, LangGraph, RAG implementations, Graph RAG.

Knowledge Graph-based AI systems.

Solid foundation in Machine Learning, Deep Learning, and NLP.

Experience deploying AI/ML solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform.

Strong product-building mind-set with the ability to deliver production-grade AI systems.

Comfortable working in environments requiring fast execution, experimentation, and continuous learning.

Client-facing experience and technical leadership are strong pluses.

Responsibilities:

Design and develop scalable Agentic AI solutions, including multi-agent workflows and autonomous AI systems.

Build and optimize RAG pipelines, including advanced implementations such as Graph RAG for enterprise knowledge retrieval.

Develop LLM-powered applications using: LangChain / LangGraph / Vector databases and retrieval frameworks.

Rapidly prototype and deploy AI services using FastAPI and modern Python frameworks.

Work with cutting-edge AI ecosystems including: OpenAI APIs / Hugging Face Transformers / PyTorch.

Collaborate with cross-functional teams to translate business needs into AI-driven technical solutions.

Lead solution development for client-facing AI transformation initiatives.

Mentor junior engineers and contribute to building a strong AI innovation culture.

Stay current with the latest advancements in Agentic AI, LLM orchestration, and retrieval architectures.