AI Engineer

Location: Alpharetta, GA

Schedule: 3 days/week onsite

Position Type: Long Term Contract

Interview Stage: Final round in person

Job Description

We are seeking a highly skilled AI Engineer with hands-on experience in Langchain, Langraph, and Python to design, develop, and implement innovative AI solutions. The ideal candidate will work closely with cross-functional teams to create scalable AI models and graph-based data structures that enhance our products and services.

Key Responsibilities:

• Design and develop AI models using Langchain for natural language processing (NLP).
• Build and maintain graph-based data models using Langraph to facilitate efficient data retrieval, relationship mapping, and knowledge graph management.
• Write clean, efficient, and maintainable code in Python to implement AI algorithms and data pipelines.
• Collaborate with product and engineering teams to understand requirements and translate them into technical solutions.
• Optimize AI models for performance, accuracy, and scalability, ensuring they meet enterprise standards.
• Conduct code reviews and provide mentorship to junior team members.
• Stay updated on the latest developments in AI, NLP, graph databases, and related frameworks to continuously improve capabilities.
• Document technical specifications and provide training or support to end-users and stakeholders.

Qualifications:

• Proven experience as an AI Engineer or in a similar role with demonstrated success.
• Strong proficiency in Python programming and related libraries (e.g., Pandas, NumPy, etc.).
• Practical experience with Langchain for implementing NLP and conversational AI applications.
• Hands-on experience with Langraph or similar graph database/knowledge graph frameworks.
• Solid understanding of machine learning, deep learning, NLP, and related AI concepts.
• Knowledge of data structures, algorithms, and graph theory.
• Excellent problem-solving skills with a keen eye for detail.
• Good communication skills and the ability to collaborate effectively with technical and non-technical teams.

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