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Intuitive Research and TechnologyPosted 3 weeks ago

Software Engineer

On-siteHuntsville, Alabama, United States

Full TimeBachelors DegreeMedium

Job Summary

Design, build, and deploy production-ready AI solutions focusing on agentic workflows and autonomous orchestration. Manage the full lifecycle of AI system development, including requirements definition, data processing, algorithm integration, application development, deployment, and optimization. Develop AI-enabled applications leveraging modern machine learning techniques, large language models, and scalable cloud-based architectures to solve complex, multi-step reasoning tasks. Build API-driven services, implement Retrieval-Augmented Generation pipelines, and deploy containerized applications across cloud and on-premise environments. Translate stakeholder needs into technical requirements and produce clear engineering documentation.

Required Qualifications

  • Required BS Degree in Computer Science, Engineering, or a related technical field
  • 3 years of related experience
  • Proficiency in Python
  • Experience building, deploying, and maintaining secure REST APIs
  • Experience with Docker and containerized application deployment
  • Experience building AI agents and advanced RAG pipelines, including tool integration, reasoning loops, and data retrieval across database types (e.g., SQL, vector, document, graph)
  • Must have the ability to obtain and maintain a security clearance

Desired Qualifications

  • Experience working with LLMs across the full lifecycle, from integration and orchestration to fine-tuning, distillation, and prompt/system design
  • Experience deploying AI solutions in secure or regulated cloud environments (e.g., Azure GCC High, AWS GovCloud, or equivalent)
  • Experience designing human‐in‐the‐loop workflows that blend AI decision support with expert oversight
  • Ability to translate stakeholder needs into technical requirements and produce clear engineering documentation for both technical and non‐technical audiences
  • Familiarity with multi-agent architecture patterns
  • Experience with Model Context Protocol (MCP) or API workflows designed for AI tool-calling

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