AI ML Engineer

Kforce has a client in Lakeland, FL that is seeking an AI ML Engineer to spearhead the buildout of our internal, company-wide compliance AI ecosystem. This role operates in a strict, privacy-first, and highly regulated environment. The AI ML Engineer will be responsible for designing and deploying enterprise-grade AI solutions using open-source models engineered entirely on our internal, high-performance hardware clusters-ensuring absolute data isolation with zero reliance on external cloud or SaaS-based AI APIs. If you excel at extracting maximum performance from local silicon and architecting secure, air-gapped AI systems, this is your next project.

Duties:

• Architect Local AI Infrastructure: Design, deploy, and optimize open-source LLMs and frameworks tailored for our custom bare-metal/private hardware clusters
• Build Core AI Pipelines: Construct and maintain robust local model inference pipelines, advanced fine-tuning/embedding workflows, and highly secure Retrieval-Augmented Generation (RAG) systems
• Optimize for Bare Metal: Drive maximum efficiency in latency, throughput, and compute resource utilization (CPU/GPU/memory tracking)
• Enforce Complete Data Isolation: Ensure all AI capabilities integrate seamlessly with internal data sources and compliance workflows without violating PII or regulatory constraints
• Evaluate the Open-Source Stack: Select and implement local-first tooling across the AI ecosystem, including vector databases, orchestration frameworks, and model serving layers
• Collaborate on Strategy: Partner with engineering leadership and compliance stakeholders to translate complex regulatory requirements into production-ready AI solutions
• May perform other additional duties and responsibilities as assigned