AI/ML Platform Engineer
caci internationalLisle (IL)
AI/ML Platform Engineer
Posted today
caci internationalLisle (IL)
SENIORITY
Lead
About the role
Overview:
As an AI/ML Platform Engineer on the Lisle DevOps team, you will architect and operate LLM-enabled environments in a on-premises setting. You’ll deploy and monitor open-weight LLMs on local Kubernetes clusters and build RAG pipelines to support document-based workflows. You’ll develop MCP servers, guide teams on MCP usage, and collaborate across CI/CD, testing, and infrastructure to improve model serving and performance. This role offers impact on mission-critical AI capabilities and cross-functional collaboration. Compensation / Benefits flexible time off robust learning resources healthcare benefits retirement plan time off benefits competitive compensation
Responsibilities:
Architect greenfield LLM-enabled technologies for agentic workflows Deploy, operate, and monitor LLMs on local Kubernetes clusters Design and maintain RAG pipelines (document investigation, embedding, retrieval, reranking) Develop and maintain Model Context Protocol (MCP) servers and integrations Coach teams on MCP designs and usage Support software automated testing environments Collaborate to implement CI/CD pipelines Instrument tracing and evaluation tools to improve product cycles Provide infrastructure requirements to boost model serving performance Support software development environments and change management systems
Key requirements:
In-depth IT understanding Excellent communication skills (oral and written) Python, SQL, and Java development familiarity Experience writing data pipelines (Airflow, Spark, Iceberg, or DBT) Experience managing AI/ML infrastructure via Kubernetes, Kserve, vLLM, LangFuse, Elasticsearch, Terraform Experience with Gitlab CI/CD pipelines Understanding of RAG, MCP servers, QLoRA, and Nexus Knowledge of data warehousing and data pipelines from open and proprietary sources Ability to work with limited supervision and adapt to change Strong organizational and teamwork skills Initiative and ownership of requirements and tasks IT system processes including security and life-cycle support Excellent communication Strong teamwork Initiative Python SQL Java
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