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Mid-Level AI Engineer
Mid-Level AI EngineerCredence • Bedford, MA, US
Mid-Level AI Engineer

Mid-Level AI Engineer

Credence • Bedford, MA, US
[job_card.30_days_ago]
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  • [job_card.full_time]
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Job Description

Job Description

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.

Requirements

  • 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.

    • Locations : McLean VA, HQ

    Hanscom AFB - Bedford MA

    Rome NY

    Warner Robbins AFB - Warner Robbins GA

    #LI-Hybrid

    #Credence #veteranemployment #militaryspouse #milspouse #hireavet #militaryveteran #militaryfriendly transitioningmilitary #veterans #militarytransition #militaryfamilies #msep #militarytocivilian #military #federalcontractingjobs #defensecontracting #defenseindustryjobs

    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
  • Free Food & Snacks
  • Wellness Resources
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