Ai/Llm Engineer

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

• What AI Llm Engineer Jobs are in Hoboken

We are seeking a highly skilled AI/LLM Engineer to design, develop, and deploy intelligent agent-based systems capable of reasoning, planning, and executing tasks autonomously. The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms.

Roles and 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.

LLM Capabilities & Enhancements

• Implement memory, tool usage, context management, and MCP capabilities.
• Develop solutions using tool calling, chaining, and workflow orchestration.
• Work with prompt engineering teams to improve LLM response quality and performance.
• Optimize LLM applications for scalability, reliability, and cost.

Software Engineering

• Develop high-quality, scalable, and maintainable Python applications, including asynchronous programming.
• Build and maintain APIs and microservices for AI and agent-based applications.
• Integrate AI services with enterprise applications and backend systems.
• Develop production-ready solutions with appropriate testing, monitoring, and error handling.

Guardrails & Responsible AI

• Design and implement guardrails and safety mechanisms for LLM-powered applications.
• Handle edge cases, failures, hallucinations, and unintended model outputs.
• Implement appropriate validation, security, and access controls for AI systems.

Data & Platform Integration

• Integrate AI solutions with modern data platforms, including Snowflake and Databricks.
• Work with Lakehouse architectures and enterprise data pipelines.
• Enable LLM applications to securely access and leverage enterprise data.
• Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Required Technical Skills

• 5+ years of experience in software engineering, AI/ML engineering, or a related field.
• Strong hands-on experience with Python and asynchronous programming.
• Experience building LLM and generative AI applications.
• Strong experience with LangChain, LangGraph, or similar agent frameworks.
• Understanding 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.
• Strong understanding of scalable, production-ready software architectures.
• Knowledge of LLM guardrails, responsible AI, security, and failure handling.
• Strong problem-solving, communication, and collaboration skills.

Preferred Skills

• Experience with multi-agent systems and agent orchestration.
• Knowledge of vector databases and RAG architectures.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with LLM observability, evaluation, and performance optimization.
• Experience deploying AI applications in enterprise production environments.

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