Principal AI Engineer

🔥 0 minutes ago

🎸 Tennessee – Remote

🎸 Tennessee – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

C2 Labs, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

📋 Compliance

🔒 Cybersecurity

🏢 Enterprise

Compliance • Cybersecurity • Enterprise

C2 Labs, Inc. is a full-service IT consultancy that specializes in providing solutions for highly regulated industries facing complex business and technology challenges. The company excels in areas such as hyper automation, DevOps, full stack development, cybersecurity compliance, and ISSO as a service. C2 Labs assists clients with digital transformation by addressing compliance, cultural change, risk management, and skill gaps. With a deep understanding of regulations like FedRAMP, C2 Labs uses its expertise to keep clients secure and compliant while helping them innovate and scale efficiently.

📋 Description

• Deploy and manage AI platforms supporting enterprise copilots, AI agents, and digital workers. • Implement and maintain Retrieval-Augmented Generation (RAG) infrastructure. • Deploy and manage vector databases and enterprise knowledge systems. • Develop and maintain integrations with RegScale APIs and other enterprise platforms. • Integrate AI services with Microsoft Copilot Studio, Power Platform, Azure AI Services, OpenAI, Anthropic, and related technologies. • Develop automation workflows using Power Automate and API-first architectures. • Design and maintain cloud-native infrastructure supporting AI and automation workloads. • Manage Kubernetes, Docker, CI/CD pipelines, and Infrastructure as Code. • Implement secure deployment pipelines for regulated environments. • Support development of compliance automation workflows for evidence collection, POA&M management, and continuous monitoring. • Monitor AI platform performance, observability, logging, and operational health.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field • 5+ years of DevOps, Platform Engineering, Software Engineering, or Solution Engineering experience • 2+ years supporting AI, automation, or machine learning platforms in production environments • Experience deploying and supporting AI applications in production environments • Experience with LLM APIs including OpenAI, Azure OpenAI, Anthropic, or AWS Bedrock • Experience with agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen • Understanding of RAG architectures, vector databases, and semantic retrieval • Strong Python development skills • Experience developing and integrating REST APIs • Experience with Kubernetes, Docker, Terraform, CI/CD, and cloud-native architectures • Experience integrating SaaS platforms and enterprise systems • Strong troubleshooting and problem-solving skills.

🏖️ Benefits

• Health insurance • Remote work options