Sr. AI Developer w Reactjs

Sr. AI Developer w/ Reactjs
Location: Warren NJ (Onsite)
Position type: W2 contract.

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 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.

Key Responsibilities:

• Develop and implement AI and machine learning models using Python and related frameworks.
• Design and build interactive front-end interfaces using .
• 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 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.