What are the responsibilities and job description for the AI/LLM Engineer – Agent Frameworks & Intelligent Systems position at METANLYTICS LLC?
Job Title: AI/LLM Engineer – Agent Frameworks & Intelligent Systems
Exp: 12 yrs
Location: New York-Need to come to office for F2F Round and work from office 3 days a week
Visa: -EAD, L2-EAD AND AND GC
Skills: Digital : Artificial Intelligence(AI)~Digital : Snowflake Digital : Databricks~AI Agents
Role Summary:
We are looking for a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems that can reason, plan, and act autonomously. The role requires strong Python engineering expertise and hands-on experience with modern agent frameworks, along with a solid understanding of data platforms and scalable architectures.
Key Responsibilities:
Agent & AI System Development
Design and build agent-based systems using frameworks such as LangChain, LangGraph, or similar
Develop intelligent components capable of reasoning, planning, and executing tasks autonomously
Implement advanced cognitive patterns such as ReAct (Reasoning Acting)
LLM Capabilities & Enhancements
Develop and integrate memory, tool usage, and context management capabilities (MCP)
Build systems that leverage tool calling, chaining, and orchestration of LLM workflows
Collaborate with prompt engineers to enhance model responses and performance
Engineering & Development
Write high-quality, scalable code using Python (including async programming)
Build and maintain APIs and microservices for AI/agent-based applications
Ensure systems are efficient, reliable, and production-ready
Guardrails & Responsible AI
Design and implement guardrails and safety mechanisms for LLM-driven systems
Ensure robust handling of edge cases, failure scenarios, and unintended outputs
Data & Platform Integration
Work with modern data platforms such as:
Snowflake
Databricks
Lakehouse architectures
Integrate AI solutions with enterprise data pipelines and systems