Mid-Level Google AI/Data Engineer

Job Locations US-VA-McLean
ID
2025-9526
Category
*Hot Jobs
Type
Regular Full-Time

Overview

At Credence, we support our clients’ mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future.

 

We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.

 

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 skills to build and deploy data-driven solutions. Under mentorship from senior AI leaders, you’ll drive agentic AI 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

 

  • Generative AI & LLM Usage
    Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI powered capabilities.
  • Agentic AI System Development
    Support end-to-end AI development: model selection, agent creation, tool calling, response synthesis, and ambient background agents.
  • AI Software Engineer
    Maintain strong software engineering principles while leveraging the latest advancements in AI code generation to accelerate your workflows.
  • Collaborative Engineering
    Work alongside data engineers, software engineers, and data scientists to develop operational agent AI systems.
  • Cloud Enablement
    Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools.
  • 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.

 

 

Education, Requirements and Qualifications

What You need to know

  • Bachelor’s or Master’s in Computer Science, AI/ML, or a related field.
  • 3–5 years of hands-on experience delivering AI/ML solutions.
  • Experience in generative AI, working with LLMs, and adding tool calls (MCP)
  • Experience with agentic frameworks such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore.
  • Deep understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex
  • Proficiency in Typescript familiarity with key libraries and frameworks (Nx, NextJS, Mastra, Vercel AI SDK, Playwright, Jest, Vite)
  • Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured).
  • Experience deploying applications using cloud platforms (AWS) and container tools (Docker, Kubernetes).
  • Familiarity with CI/CD pipelines (GitLab CI)
  • Experience with VS Code and AI extensions such as Cline and Claude Code.
  • Strong communication skills and client-oriented mindset.
  • U.S. Citizenship with eligibility for DoD Secret clearance.

Preferred

  • Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact.
  • Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem.
  • Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications.
  • Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks.

Importance of this Role

  • 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, innovate within Agentic AI, and mentor those around you in AI best practices.
  • Culture of Empowerment — You’ll be part of a team that values innovation, trust, collaboration, and mission success.

Working Conditions and Physical Requirements

Please join us, as together we build a better world one mission at a time powered by Technology and its People!

 

#LI-Onsite

 

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