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AI/ML Engineer — Generative AI Mission Systems

1 month, 1 week ago
United States
Contract
Mid Level
AI (Artificial Intelligence)
Software Development
Cybersecurity DevSecOps Generative AI Kubernetes LLM OpenShift Python
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Rackner

Rackner

Rackner specializes in providing cloud native consultancy services, focusing on innovative solutions for enterprises and startups, including application development, cloud architecture, and the integration of DevSecOps and AI technologies.

Internet Software & Services
11-50
Founded 2015
View All Jobs 6

Description

  • Build and integrate LLM-enabled capabilities into secure application workflows.
  • Develop or integrate retrieval-augmented generation and agentic-AI components.
  • Design prompts, system instructions, and inference workflows for real mission needs.
  • Connect AI capabilities with existing backend services and decision-support processes.
  • Evaluate AI outputs for grounding, reliability, accuracy, and usefulness.
  • Develop tests for AI-enabled functionality and support integration testing.
  • Demonstrate prototypes and incorporate technical and user feedback.
  • Document AI designs, workflows, limitations, and implementation decisions.
  • Participate in code reviews, technical reviews, and security-remediation activities.
  • Collaborate with software engineers, security professionals, DevSecOps teams, and customer stakeholders.

Requirements

  • 4+ years of experience across AI/ML, large language models, retrieval-augmented generation, and prompt engineering.
  • Master’s degree or Ph.D. in AI/ML or a related field.
  • Hands-on delivery of LLM-enabled software and RAG capabilities.
  • Practical knowledge of agentic AI, multi-step workflows, or similar orchestration approaches.
  • Familiarity with building or supporting inference pipelines.
  • Ability to explain technical contributions, design decisions, and results.
  • Strong collaboration and technical documentation skills.
  • Track record of moving AI capabilities from coursework, personal projects, or demos into operational software (preferred).
  • Practical knowledge of evaluating AI outputs and addressing weak grounding, hallucinations, or unreliable responses (preferred).
  • Familiarity with secure software development and DevSecOps practices, classified/restricted/disconnected environments, OpenShift or Kubernetes, or regulated environments (preferred).

Benefits

  • Competitive compensation.
  • Company-supported certifications aligned with program work.
  • 401(k) with 100% company match up to 6%.
  • Medical, dental, vision, life, and disability coverage.
  • Paid time off and company holidays.
  • Remote-work support and a home-office equipment plan.
  • Fitness and wellness reimbursement.
  • Weekly pay schedule.
  • Professional development and future growth opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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