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Credence Management Solutions Logo

Mid-Level AI Engineer - AI and Automation

Credence Management Solutions

Salary not specified
Oct 3, 2025
Wright-Patterson AFB, OH, USA • McLean, VA, USA • Warner Robins, GA, USA
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Credence is looking for a Mid-Level AI Engineer to be a technical anchor in their AI and Automation practice, applying foundational AI/ML skills to build and deploy data-driven solutions, drive model development lifecycles, and collaborate across teams to deliver high-impact, cloud-native AI capabilities that advance federal missions.

Requirements

  • Strong Python proficiency and familiarity with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Understanding of supervised and unsupervised learning techniques.
  • Experience working with cloud platforms (AWS, Azure, or GCP) and container tools (Docker, Kubernetes).
  • Familiarity with CI/CD pipelines and basic MLOps workflows.
  • Experience or interest in generative AI and working with LLMs.
  • Experience with VS Code and AI extensions like Cline and Claude Code, in addition to QDeveloper.
  • Experience with Bedrock, Strands, Q Developer, Kiro, AgentCore Gateway.

Responsibilities

  • Support end-to-end AI development: data prep, feature engineering, model training, evaluation, and integration into production pipelines.
  • Work alongside data engineers, software engineers, and data scientists to embed AI into scalable systems and applications.
  • Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools.
  • Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine models.
  • Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability.
  • Write clean, well-documented code following industry and federal guidelines; support reproducible development.
  • Stay current on AI/ML trends and tools, and actively learn from senior team members through mentorship and technical design reviews.

Other

  • Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or a related field.
  • 3–5 years of hands-on experience delivering AI/ML solutions.
  • Familiarity with OpenAI, Claude Sonnet, Claude Opus, and other AI engines.
  • Strong communication skills and client-oriented mindset.
  • U.S. Citizenship with eligibility for DoD Secret clearance.