Senior AI Engineer: React & RAG, LangChain Expert

Job Overview

We are seeking a talented and experienced AI Developer to join our innovative team. The ideal candidate will have strong skills in Python
, React.js
, Retrieval-Augmented Generation (RAG), and hands‑on experience with Lang Chain and Lang Graph frameworks. You will be responsible for designing, developing, and deploying cutting‑edge AI solutions that enhance our products and services.

Location: Warren, NJ (Onsite).
Position type: W2 contract.

• Develop and implement AI and machine learning models using Python and related frameworks.
• Design and build interactive front‑end interfaces using React.js.
• Integrate AI models with front‑end applications to develop seamless user experiences.
• Utilize RAG techniques to enhance data retrieval and knowledge augmentation functionalities.
• Build, customize, and deploy applications using Lang Chain for language model workflows.
• Leverage Lang Graph for graph‑based data representations and reasoning.
• Collaborate with data scientists, product managers, and engineers to translate business needs into technical solutions.
• Optimize and tune models for performance, scalability, and accuracy.
• Write clean, efficient, and well‑documented code.
• Stay updated with the latest trends and advancements in AI, NLP, and related technologies.

• Proven experience as an AI Developer, Data Scientist, or similar role.
• Strong proficiency in Python, with experience in AI/ML libraries such as Tensor Flow, PyTorch, or Hugging Face.
• Hands‑on experience with React.js and front‑end development.
• Practical knowledge of Retrieval‑Augmented Generation (RAG) techniques and their implementation.
• Experience working with Lang Chain for orchestrating language model workflows.
• Familiarity with Lang Graph or similar graph‑based data modeling tools.
• Knowledge of APIs, cloud services, and deployment pipelines.
• Strong problem‑solving skills and ability to work independently and in a team.
• Excellent communication skills.

• Experience with large language models (LLMs).
• Background in NLP, knowledge graphs, and semantic search.
• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Bachelor's or Master’s degree in Computer Science, Data Science, AI, or related field.