Senior AI & LLM Agent Engineer

Veriipro; New York (NY); On-site; USD 170,000 - 210,000; Full time

Job summary

Veriipro is seeking an experienced AI/LLM Engineer to design, develop, and deploy autonomous agent-based systems. The role emphasizes Python engineering, large language model applications, and integration with enterprise data platforms.

You will work on memory, tool usage, and MCP capabilities, and collaborate with data, ML, and cloud teams to ensure scalable, production-ready solutions. Strong communication and problem-solving are essential in this dynamic, enterprise-focused environment.

Qualifications

• 5+ years of software engineering or AI/ML engineering experience.
• Strong Python and asynchronous programming skills.
• Experience building LLM applications and agent frameworks.
• Experience with LangChain, LangGraph, or similar agent frameworks.
• Understanding of AI agents, ReAct, tool calling, memory, and context management.

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 high-quality Python applications, including asynchronous code and APIs.
• Integrate AI services with enterprise backend systems.
• Design guardrails and safety mechanisms for LLM-powered applications.
• Collaborate with Data/ML/Cloud teams on scalable AI architectures.

Skills

Python programming

Asynchronous programming

LLM / Generative AI

LangChain / LangGraph

Agent frameworks

REST APIs & microservices

Snowflake / Databricks / Lakehouse

Scalable architectures

Guardrails & Responsible AI

Communication & collaboration

Tools

LangChain

LangGraph

Databricks

Snowflake

REST API development

Job description

Veriipro is seeking an experienced AI/LLM Engineer to design, develop, and deploy autonomous agent-based systems. The role emphasizes Python engineering, large language model applications, and integration with enterprise data platforms.

You will work on memory, tool usage, and MCP capabilities, and collaborate with data, ML, and cloud teams to ensure scalable, production-ready solutions. Strong communication and problem-solving are essential in this dynamic, enterprise-focused environment.