Generative AI Engineer / LLM Engineer

Generative AI Engineer / LLM Engineer

Location: Jersey City, NJ (Hybrid - 3 days onsite every week)

Core Technical Skills

• 2+ years of professional experience executing end-to-end Generative AI projects using:
• Large Language Models (e.g., GPT, LLaMA)
• MCP (skills-based orchestration)
• Agentic frameworks (e.g., LangGraph)
• LLM development frameworks (LangChain, LlamaIndex)
• Embedding models (e.g., all-MiniLM-L6-v2, nomic-ai)
• Evaluation frameworks (RAGAS, LangSmith, Phoenix/Arize)
• REST APIs, FastAPI, WebSockets
• Enterprise data stores (Redis, MongoDB)
• Strong Python programming expertise
• Frontend experience with Angular is a significant plus

Model Governance Risk Management

• Must have hands-on experience with Model Risk Management and Model Governance, including:
• Delivering GenAI solutions in compliance with governance guidelines
• Authoring formal model documentation
• Designing and implementing model monitoring and performance controls

Additional Preferred Experience

• Distributed and big data technologies such as Slurm, Hadoop/Hive, Apache Spark, Kafka, Neo4j, and MongoDB
• Machine learning techniques, classifiers, and statistical methods
• Advanced degree or equivalent experience in data science, mathematics, or a quantitative discipline

Core Technical Skills

• 2+ years of professional experience executing end-to-end Generative AI projects using:
• Large Language Models (e.g., GPT, LLaMA)
• MCP (skills-based orchestration)
• Agentic frameworks (e.g., LangGraph)
• LLM development frameworks (LangChain, LlamaIndex)
• Embedding models (e.g., all-MiniLM-L6-v2, nomic-ai)
• Evaluation frameworks (RAGAS, LangSmith, Phoenix/Arize)
• REST APIs, FastAPI, WebSockets
• Enterprise data stores (Redis, MongoDB)
• Strong Python programming expertise
• Frontend experience with Angular is a significant plus

Additional Preferred Experience

• Distributed and big data technologies such as Slurm, Hadoop/Hive, Apache Spark, Kafka, Neo4j, and MongoDB
• Machine learning techniques, classifiers, and statistical methods
• Advanced degree or equivalent experience in data science, mathematics, or a quantitative discipline