AI & LLM Engineer for Enterprise AI Systems

2T Consulting; Hoboken (NJ); On-site; USD 140,000 - 180,000; Full time

Job summary

2T Consulting in Hoboken, NJ is seeking a seasoned AI/LLM Engineer to design, develop, and deploy autonomous agent-based systems. You will implement ReAct patterns, multi-step LLM workflows, and scalable Python services in collaboration with enterprise teams.

The ideal candidate has 5+ years in software/AI engineering, strong Python skills, and hands-on experience with LangChain, LangGraph, Snowflake, and Databricks. Expect rigorous testing, robust APIs, and production-ready architectures.

Qualifications

• 5+ years of experience in software engineering, AI/ML engineering, or a related field.
• Strong Python programming and asynchronous programming experience.
• Experience building LLM and generative AI applications.
• Experience with LangChain, LangGraph, or similar agent frameworks.
• Knowledge of AI agents, ReAct, tool calling, memory, context management, and MCP.
• Experience developing REST APIs and microservices.
• Experience integrating AI applications with Snowflake, Databricks, or Lakehouse platforms.
• Understanding of scalable, production-ready software architectures.
• Knowledge of LLM guardrails, responsible AI, security, and failure handling.
• Strong problem-solving, communication, and collaboration skills.

Responsibilities

• Agent & AI System Development
• Design and develop AI agent systems using LangChain, LangGraph, or similar frameworks.
• Build intelligent components capable of reasoning, planning, and autonomous task execution.
• Implement agentic patterns such as ReAct (Reasoning + Acting).
• Develop multi-step LLM workflows and agent orchestration.

Skills

Python

AI/ML engineering

Communication

Tools

LangChain

LangGraph

Snowflake

Databricks

Job description

2T Consulting in Hoboken, NJ is seeking a seasoned AI/LLM Engineer to design, develop, and deploy autonomous agent-based systems. You will implement ReAct patterns, multi-step LLM workflows, and scalable Python services in collaboration with enterprise teams.

The ideal candidate has 5+ years in software/AI engineering, strong Python skills, and hands-on experience with LangChain, LangGraph, Snowflake, and Databricks. Expect rigorous testing, robust APIs, and production-ready architectures.