Mid-Level AI Engineer

Overview

Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.

We’ve been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.

Position Summary

Credence has an immediate need for a Mid-Level AI Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You’ll apply foundational AI/ML skills to build and deploy data-driven solutions. Under mentorship from senior AI leaders, you’ll drive model development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions.

Responsibilities include, but are not limited to the duties listed below

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

Requirements

• U.S. citizenship with the ability to obtain a public trust.
• 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 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.
• Strong communication skills and client-oriented mindset.

Preferred

• Experience with Bedrock, Strands, Q Developer, Kiro, AgentCore Gateway.
• Exposure to AWS Serverless technologies including ones that enable Event based architecture (important for Agentic AI systems).
• Experience with IaC tools (AWS CDK, Terraform, CloudFormation) or model monitoring tools.
• Exposure to data engineering concepts or data pipeline optimization.
• Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks.
• Knowledge of MCP servers and how they can be used for re-usable archetypes between teams.

Why This Role Matters

• Real-World Impact — Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being.
• Growth-Oriented Environment — Learn from technical leaders, expand into LLM and generative AI, and build expertise in cloud-first MLOps.
• Culture of Empowerment — You’ll be part of a team that values innovation, trust, collaboration, and mission success.

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Training & Development
• Work From Home
• Wellness Resources