Mid-Level AI Engineer
US-OH-WPAFB
External
Req #: 9520
Type: Regular Full-Time
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 lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities: * 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. Qualifications: 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. 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.
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