AI/ML Platform Engineer

CACI International • Lisle, IL

1d • $90,300 - $189,600 • Onsite

About The Position

CACI is seeking an experienced AI/ML Platform Engineer to join its Lisle DevOps team. The role provides expert support for on-premises LLM-enabled technologies and agentic workflows, ensuring their integration and operation within development and test environments. It calls for a strong understanding of AI infrastructure and DevOps, along with effective collaboration across teams.

The engineer will architect a greenfield implementation of LLM-enabled technologies; deploy, operate, and monitor open-weight LLMs on local Kubernetes clusters; and build and maintain retrieval-augmented generation (RAG) pipelines. The role also develops and maintains Model Context Protocol (MCP) servers and integrations, coaches teams on MCP practices, supports automated testing and software development environments, and collaborates on CI/CD pipelines. Additional work includes instrumenting tracing and evaluation tools, improving product cycles, providing network infrastructure requirements for model serving, and supporting change management systems.

This is a full-time, in-office position with occasional travel of up to 10%. A TS/SCI clearance is required to begin employment; CACI may sponsor clearance for qualified individuals. The listed salary range is $90,300–$189,600 USD, with final compensation influenced by factors including location, experience, skills, education, and certifications.

Requirements

• In-depth information technology understanding.
• Excellent oral and written communication skills.
• Familiarity with software development using Python, SQL, and Java.
• Experience writing data pipelines with Airflow, Spark, Apache Iceberg, or DBT.
• Experience managing AI/ML infrastructure through Kubernetes, KServe, vLLM, LangFuse, Elasticsearch, and Terraform.
• Experience supporting GitLab CI/CD pipelines.
• Understanding of RAG, MCP servers, QLoRA, and artifact repositories such as Nexus.
• Conceptual understanding of data warehousing and data pipelines from open and proprietary sources.
• Ability to work under limited supervision and adapt to change.
• Strong organizational and teamwork skills.
• Good work ethic, diligence, and initiative and ownership of requirements and tasks.
• Knowledge of IT system processes involving requirements definition, analysis, design, implementation, networks, security, and life-cycle support.
• Bachelor's degree or equivalent in Computer Science, Information Systems, Engineering, or another related scientific or technical discipline, with at least four years of related experience; alternatively, a similar master's degree and two years of related experience.
• Experience supporting small to mid-sized organizations of 100 or more users.
• Experience analyzing, designing, implementing, and supporting large, complex, inter-networked systems.
• TS/SCI clearance required to begin employment.

Nice To Haves

• CACI can provide clearance sponsorship for qualified individuals.

Responsibilities

• Architect a greenfield implementation of LLM-enabled technologies to support agentic workflows.
• Deploy, operate, and monitor open-weight LLMs hosted on local Kubernetes clusters.
• Design, build, and maintain RAG pipelines for document investigation, chunking, embedding, retrieval, and reranking using existing models and services.
• Develop and maintain MCP servers and their interconnections to existing services.
• Coach teams on best-practice MCP designs and usage.
• Support software automated testing environments.
• Collaborate with development teams to implement CI/CD pipelines.
• Instrument tracing and evaluation tools to measure, compare, and iteratively improve product cycles.
• Provide requirements for network infrastructure to improve model-serving performance and accessibility.
• Support software development environments and change management systems.

Benefits

• Flexible time off benefit.
• Robust learning resources.
• Competitive compensation.
• Healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level