AI Engineer - Senior

QBitech, LLC. is seeking a Senior AI Engineer to design, develop, integrate, and operationalize AI/ML capabilities for the Bio Surveillance Integration Platform (BIP). The work focuses on mission analytics, automated workflows, decision support, and intelligent applications, supporting a phased transition from fully remote (Phase
1) to hybrid in Omaha, NE (Phase
2).

This position supports a mission-critical platform that turns trusted data into data-driven insight for biosurveillance, force health protection, and operational decision-making
. You will build production-ready AI capabilities and collaborate with engineers and mission stakeholders to translate mission requirements into operational solutions.

Work arrangement: fully remote during Phase 1 (stand-up and early build), transitioning to hybrid during Phase 2 to support integration, testing, and delivery milestones. Work location is Hybrid remote in Omaha, NE 68127
.

• Design, develop, test, and deploy AI/ML solutions supporting biosurveillance, mission analytics, decision support, and operational workflows
• Build AI-enabled applications and workflows using large language models (LLMs), machine learning models, and other AI technologies
• Develop and integrate AI agents,
  Retrieval-Augmented Generation (RAG) systems, and LLM-powered workflows
• Integrate AI capabilities with enterprise data platforms, APIs, mission applications, and existing data pipelines
• Develop prompt engineering, structured output, tool-calling, and agentic workflow capabilities for mission use cases
• Build evaluation frameworks to measure model accuracy, reliability, relevance, latency, and operational performance
• Implement safeguards, validation, monitoring, logging, and human-in-the-loop controls for production AI systems
• Optimize AI applications for performance, scalability, reliability, and cost
• Evaluate models, frameworks, and emerging AI technologies for suitability within mission and security requirements
• Collaborate with data engineers, data scientists, platform engineers, architects, and mission analysts to deliver production-ready AI capabilities
• Produce architecture documentation, model documentation, evaluation results, AI workflow diagrams, runbooks, and release documentation

• Bachelor's degree, or equivalent relevant experience
• Demonstrated experience developing AI/ML applications or AI-enabled software in a production or applied environment
• Proficiency in Python and experience with common AI/ML libraries and frameworks
• Experience working with LLMs, APIs, prompt engineering, or machine learning models
• Understanding of software engineering principles, REST APIs, Git, testing, and production deployment practices
  
  Experience integrating AI capabilities with structured and unstructured data
• Active Secret clearance
  , with ability to maintain it throughout the period of performance
• U.S. Citizenship

Python
, PyTorch, Tensor Flow, Hugging Face, OpenAI APIs, Anthropic APIs, Lang Chain, Lang Graph, Llama Index, Palantir Foundry, Maven Smart System, Apache Spark, Databricks, AWS Bedrock/Sage Maker, Azure AI, Google Vertex AI, Docker, Kubernetes, Git, REST APIs, Jira, Confluence, Microsoft Office 365.

• 401(k)
• 401(k) matching
• Health insurance
• Life insurance
• Referral program

USD 50,000 - 70,000 per year.