Artificial Intelligence Engineer

Title: AI Engineer

Location:
Pennington, NJ

Hybrid 3 days

Potential 3 years contract

Requirements:

• Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Strong proficiency in Python programming, with experience building scalable AI/ML systems
• Hands-on experience with agentic AI frameworks, particularly Lang Graph, and emerging standards such as Model Context Protocol (MCP)
• Strong experience designing and implementing advanced RAG architectures, including Graph RAG
• Experience with LLM orchestration frameworks such as Lang Chain, Lang Graph, and Llama Index
• Proven experience deploying LLM-powered production systems
• Strong experience with Python ML/AI frameworks such as PyTorch, Tensor Flow, and Scikit-learn
• Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search) and semantic retrieval systems
• Deep understanding of agent orchestration patterns, including planning, reflection, tool usage, and multi-agent collaboration
• Strong understanding of LLMOps/MLOps, including CI/CD, observability, monitoring, and performance optimization
• Working knowledge of Model Risk Management (MRM) frameworks including governance, validation, and lifecycle controls
• Proficiency with development tools such as Git Hub, VS Code, JIRA, and modern engineering workflows

Desired skills:

• Experience working in an Agile development methodology
• Experience with RAG and LLM

inform business strategies, and work with natural language processing (NLP) tools to enhance customer insights and automation. The position includes collaborating with cross-functional teams, maintaining and improving AI systems, documenting technical work, and ensuring solutions are scalable and secure.

Qualifications

• Strong foundation in Computer Science and Software Development, including experience with programming languages commonly used in AI (e.g., Python, Java, or C++).
• Proficiency in Pattern Recognition and Neural Networks, with hands-on experience in designing, training, and evaluating machine learning models.
• Experience with Natural Language Processing (NLP), including working with NLP frameworks and tools to build text-based analytics and automation solutions.
• Knowledge of AI/ML frameworks and libraries (e.g., Tensor Flow, PyTorch, scikit-learn) and experience deploying models to production environments.
• Ability to work independently in a remote setting, manage multiple projects, and communicate complex technical concepts clearly to non-technical stakeholders.
• Bachelor's or master's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
• Experience applying AI solutions in marketing, sales, or revenue-focused contexts is a plus, along with familiarity with cloud platforms (e.g., AWS, Azure, GCP).