AI/ML Platform Engineer

CACI International; Lisle (IL); On-site; USD 90,000 - 190,000; Full time

Job summary

CACI International Inc is seeking an AI/ML Platform Engineer to join the Lisle DevOps team. You will support on-premises LLM-enabled technologies, agentic workflows, and cross-functional collaboration to ensure reliable operation within development and test environments.

The role requires expertise in AI infrastructure, DevOps practices, and building scalable pipelines using Kubernetes, MCP servers, and RAG workflows.

Qualifications

• Bachelor’s Degree or equivalent in Computer Science, Information Systems, Engineering, or related technical discipline with four years of related experience, or a Master’s Degree plus two years of related experience.
• Experience supporting systems with 100+ users and complex inter-networked architectures.
• Strong IT fundamentals in networks, security, and lifecycle support.

Responsibilities

• Architect a greenfield implementation of LLM-enabled technologies for agentic workflows.
• Deploy, operate, and monitor open-weight LLMs on local Kubernetes clusters.
• Design and maintain RAG pipelines for document handling and retrieval with existing models.

Skills

Python

Kubernetes

SQL

GitLab CI/CD

Java

Airflow

Spark

Apache Iceberg

DBT

Education

Bachelor’s Degree in Computer Science, Information Systems, Engineering or related field

Master’s Degree with two years related experience

Tools

Kserve

vLLM

LangFuse

Elasticsearch

Terraform

Nexus

Job description

Job Title: AI/ML Platform Engineer

Job Category: Engineering

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

* * *

What You’ll Get to Do:

Join CACI as an experienced AI/ML Platform Engineer with our Lisle DevOps team! In this role you will provide expert support for on-premises LLM-enabled technologies and agentic workflows, ensuring seamless integration and operation within our development and test environments. This role requires a deep understanding of AI infrastructure concepts, DevOps practices, and the ability to collaborate effectively with cross-functional teams.

More About this Role:

• 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 to enable use of document investigation, chunking, embedding, retrieval, and reranking with existing models and services
• Develop and maintain Model Context Protocol (MCP) servers and their interconnections to existing servicesCoach teams on best practice MCP designs and usage
• Support software automated testing environments
• Collaborate with development to implement CI/CD pipelines
• Instrument tracing and evaluation tools to measure, compare, and iteratively improve existing product cycles
• Provide requirements for network infrastructure to improve model serving performance and accessibility
• Support software development environments and change management systems

You’ll Bring These Qualifications:

• In-depth Information Technology understanding
• Excellent communication skills, both oral and written
• Software development familiarity with 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
• Supported 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
• Must have good work ethics and show diligence in work performed.
• Must take initiative and ownership of requirements and tasks
• Knowledge of IT system processes involving requirements definition, analysis, design, implementation, networks, security and life-cycle support

Schedule : Full-time In-Office

Travel : Occasionally

Education:

• Bachelor’s Degree or equivalent in Computer Science, Information Systems, Engineering, or other related scientific or technical discipline with a minimum of four years of related experience or a similar Master’s Degree and two years of related experience.
• Experience in supporting small to mid-sized organizations (100+ users).
• Experience in the analysis, design, implementation and support of large, complex, inter-networked systems.

A TS/SCI clearance is required to begin employment. For this position, CACI has the ability to provide clearance sponsorship for qualified individuals.

What You Can Expect:

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation’s most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Pay Range

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is:

$90,300 - 189,600 USD

CACI is anEqualOpportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any otherprotectedcharacteristic.