Senior AI Engineer: React & RAG, LangChain Expert

Accord Technologies Inc; New Jersey; On-site; USD 120,000 - 150,000; Full time

Job description

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 LangChain and LangGraph 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.

Key Responsibilities

• 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 LangChain for language model workflows.
• Leverage LangGraph 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.

Qualifications

• Proven experience as an AI Developer, Data Scientist, or similar role.
• Strong proficiency in Python, with experience in AI/ML libraries such as TensorFlow, 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 LangChain for orchestrating language model workflows.
• Familiarity with LangGraph 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.

Preferred

• 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.