Mid-Level AI Engineer

Overview

Credence is one of the largest privately held technology services firms in the U.S., consistently recognized as a Top Workplace and featured on the Inc. 5000 Fastest-Growing Private Companies list for 12 consecutive years. We serve the largest defense and health agencies with mission-critical AI / ML, enterprise modernization, and advanced intelligence solutions. Our commitment to servant leadership, innovation, and continuous learning helps our people—and our clients—succeed.

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 life-cycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions.

What You Bring

• 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.
• U.S. Citizenship with eligibility for DoD Secret clearance.
• 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

Locations : McLean VA,  HQ

Hanscom AFB - Bedford MA

Rome NY

Warner Robbins AFB - Warner Robbins GA

#LI-Hybrid

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