Interon IT Solutions
Overview
Sr AI/ML Engineer role at Interon IT Solutions in Charlotte, NC. Onsite day 1, hybrid 3 days from office.
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 (e.g., TensorFlow, PyTorch).
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, GCP, Azure).
Strong analytical, problem-solving, and communication skills.
Seniority level: Mid-Senior level
Employment type: Full-time
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.
Charlotte, NC
#J-18808-Ljbffr
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 (e.g., TensorFlow, PyTorch).
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, GCP, Azure).
Strong analytical, problem-solving, and communication skills.
Seniority level: Mid-Senior level
Employment type: Full-time
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.
Charlotte, NC
#J-18808-Ljbffr