F2F interview Mandatory || AI/LLM Engineer – Agent Frameworks & Intelligent Systems || New York- Hybrid
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Savi Technologies LLC
Jun 17, 2026, 2:44:58 PM (3 days ago) Jun 17
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Job Title: AI/LLM Engineer – Agent Frameworks & Intelligent Systems
Location: New York
F2F interview Mandatory and work from office 3 days a week
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
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
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