Mid-Level AI Engineer

6 days ago

Bedford, United States Credence Full time

OverviewCredence 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 BringBachelor’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 MattersReal-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.Locations: McLean VA,  HQHanscom AFB - Bedford MARome NYWarner Robbins AFB - Warner Robbins GA#LI-Hybrid #Credence #veteranemployment #militaryspouse #milspouse #hireavet #militaryveteran #militaryfriendly transitioningmilitary #veterans #militarytransition #militaryfamilies #msep #militarytocivilian #military #federalcontractingjobs #defensecontracting #defenseindustryjobs 

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