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.

• 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.

• 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