Credence
AI, cloud, cyber, and modernization solutions
Mid-LevelAISoftwareEngineer
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“Mid-Level AI Software Engineer at Credence. Skills: Generative AI, LLMs, Agentic AI, Python. Contribute to projects using generative AI and LLMs. Prototype, customize, and refine AI powered capabilities”
What You'll Achieve.
deliver high-impact, cloud-native AI capabilities that advance federal missions; save agencies thousands of hours; safeguard national security; strengthen health and humanitarian missions worldwide; deliver at scale and with purpose; contribute to positive change; dive into important world-changing Federal challenges; delivering mission impact
Industry & Context.
U. S. Citizenship with eligibility for DoD Secret clearance
What They're Looking For.
Must Have
U. S. Citizenship with eligibility for DoD Secret clearance, 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, Python proficiency, Experience deploying applications using cloud platforms (AWS), Experience with container tools (Docker, Kubernetes), Familiarity with CI/CD pipelines (GitLab CI), Experience with VS Code and AI extensions such as Cline and Claude Code, communication skills, client-oriented mindset
Nice to Have
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
What You'll Do.
Contribute to projects using generative AI and LLMs
and refine AI powered capabilities
Support end-to-end AI development
Drive agentic AI development lifecycles
Build and deploy data-driven solutions
Leverage AI code generation to accelerate workflows
Automate model deployment workflows
Monitor AI systems post-deployment
Perform performance tuning
Apply best practices for reliability and scalability
Stay current on AI/ML trends and tools
Learn from senior team members
How You'll Work.
Team & Collaboration
Collaborate across engineering, data, and stakeholder teams; Work alongside data engineers, software engineers, and data scientists; Collaborate with product team
Communication Scope
communication skills; client-oriented mindset
Full Job Description
**Overview** Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We’ve been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. **Position Summary** Credence has an immediate need for a Mid-Level AI Software 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 dep
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