AI & LLM Engineer for Autonomous Agent Systems

2T Consulting; Fair Lawn (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

2T Consulting is seeking an AI LLM Engineer to design, develop, and deploy intelligent agent-based systems capable of autonomous reasoning and task execution.

The role emphasizes strong Python engineering, hands-on experience with agent frameworks, and integrating LLM solutions with enterprise data platforms like Snowflake and Databricks. You will collaborate with Data, ML, and Cloud teams to build scalable AI applications.

Qualifications

• 5+ years of experience in software engineering or AI/ML engineering.
• Strong Python skills and asynchronous programming experience.
• Experience building LLM and generative AI applications.
• Experience with LangChain, LangGraph, or similar agent frameworks.
• Experience integrating AI applications with Snowflake/Databricks.
• Understanding of AI agents, ReAct, memory, context management.
• Proven ability to design scalable, production-ready architectures.
• Strong problem-solving and collaboration skills.

Responsibilities

• 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.
• Develop APIs and microservices for AI and agent-based applications.
• Integrate AI services with enterprise applications and backend systems.
• Ensure testing, monitoring, and error handling for production-ready solutions.
• Implement guardrails and safety mechanisms for LLM-powered applications.
• Collaborate with Data/ML/Cloud teams on scalable AI architectures.

Skills

Python

Asynchronous programming

LangChain

LangGraph

AI agent frameworks

REST APIs

Microservices

Snowflake integration

Databricks integration

LLM guardrails

Tools

LangChain

LangGraph

Job description

2T Consulting is seeking an AI LLM Engineer to design, develop, and deploy intelligent agent-based systems capable of autonomous reasoning and task execution.

The role emphasizes strong Python engineering, hands-on experience with agent frameworks, and integrating LLM solutions with enterprise data platforms like Snowflake and Databricks. You will collaborate with Data, ML, and Cloud teams to build scalable AI applications.