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AI/LLM Engineer

Q1 Technologies · VA

Strong hiring record · median 4 days open

100100

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Actively hiring

Posted 3 days ago · still listed on the employer's own board · How we score

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In its favour

  • Posted 3 days ago
  • Still listed on the employer's own board

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AI/LLM Engineer at Q1 Technologies. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Job Description

Must Have Technical/Functional Skills

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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