Overview
On Site
Part Time
Full Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12
Skills
AI/ML Engineer
Python
Lang chain
Lang graph
Job Details
Lead AI/ML Engineer with exp in Python, Lang chain &Lang graph
Location: Charlotte, NC 3 days/week onsite (in person interview in must)
We are seeking a passionate and skilled Lead AI/ML Engineer with hands-on experience in LangChain and LangGraph to develop, optimize, and deploy machine learning and NLP-based solutions. The ideal candidate will have a strong foundation in AI/ML concepts, experience working with large language models, and deep familiarity with LangChain and LangGraph frameworks.
Key Responsibilities:
- Design, develop, and deploy AI/ML models integrated with natural language processing capabilities.
- Utilize LangChain to build and manage language model applications, including chatbots, question-answering systems, and knowledge management solutions.
- Leverage LangGraph to create, visualize, and optimize knowledge graphs for AI applications.
- Integrate LangChain and LangGraph with existing data pipelines and backend systems.
- Experiment with and fine-tune large language models for specific business use cases.
- Collaborate with product teams to translate requirements into scalable AI solutions.
- Monitor and improve the performance of deployed models and systems.
- Document architecture, processes, and best practices.
Qualifications:
- Bachelor s or Master s degree in Computer Science, Data Science, AI, or a related field.
- Proven experience with AI/ML frameworks and libraries (TensorFlow, PyTorch, etc.).
- Hands-on experience with language models like GPT, BERT, or similar.
- Strong proficiency in Python.
- Practical experience with LangChain for building LLM applications.
- Familiarity with LangGraph or similar knowledge graph frameworks.
- Knowledge of API integration, data pipelines, and cloud platforms (AWS, Google Cloud Platform, Azure).
- Strong analytical, problem-solving, and communication skills.
Preferred Skills:
- Experience deploying AI solutions at scale.
- Understanding of semantic search, retrieval-augmented generation (RAG), and multi-modal AI.
- Contributions to open-source projects related to LangChain, LangGraph, or NLP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.