Agentic AI Engineer: End-to-End LLM Applications

Quantum Technologies. LLC

Atlanta (GA)

On-site

USD 120,000 - 180,000

Full time

26 hours ago
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Job summary

Quantum Technologies. LLC is seeking software and AI-enabled engineers to deliver embedded discovery and solution delivery for complex workflows.

The role focuses on translating business needs into technical specifications, building production-grade backends, and implementing robust AI-powered features with secure, auditable tool integrations. You will work with Databricks notebooks, SQL transformations, and end-to-end testing to ensure reliable, scalable outcomes.

Qualifications

  • Translate business requirements into technical specs, user stories, testable acceptance criteria, and incremental delivery plans.
  • Identify when deterministic logic, automation, retrieval, or an AI agent is appropriate.
  • Build production-quality backend services, APIs, and data-processing components.

Responsibilities

  • Partner with business users and subject-matter experts to understand workflows, pain points, exceptions, and outcomes.
  • Translate requirements into technical specs, user stories, and acceptance criteria for incremental delivery.
  • Develop bounded AI capabilities for research, explanation, recommendation, and workflow assistance.
  • Design tool contracts with permissions, schemas, failure behavior, and audit requirements.
  • Enforce authorization boundaries in application code and tool permissions.

Skills

AI/LLM
Software Engineering
Data Engineering
API Development
Testing
Security Practices

Tools

Databricks
SQL

Job description

Quantum Technologies. LLC is seeking software and AI-enabled engineers to deliver embedded discovery and solution delivery for complex workflows.

The role focuses on translating business needs into technical specifications, building production-grade backends, and implementing robust AI-powered features with secure, auditable tool integrations. You will work with Databricks notebooks, SQL transformations, and end-to-end testing to ensure reliable, scalable outcomes.

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