AI/ML Platform Engineer

CACI

Lisle (IL)

On-site

USD 90,000 - 190,000

Full time

6 days ago
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Job summary

CACI is seeking an experienced AI/ML Platform Engineer to join the Lisle DevOps team. You will architect greenfield LLM-enabled technologies, deploy and monitor LLMs on local Kubernetes clusters, and design RAG pipelines to enhance document processing and retrieval workflows.

Ideal candidates bring deep IT knowledge, strong communication, and hands-on experience with Python, SQL, Java, Airflow, Spark, Iceberg, and DBT, plus Kubernetes and Terraform-based infrastructure management.

Qualifications

  • IT infrastructure and software development experience in Python, SQL, and Java.
  • Experience building data pipelines with Airflow, Spark, Iceberg, or DBT.
  • Experience managing AI/ML infra with Kubernetes, Kserve, vLLM, LangFuse, Elasticsearch, and Terraform.
  • Familiar with GitLab CI/CD pipelines.
  • Knowledge of RAG, MCP servers, QLoRA, and artifact repositories like Nexus.

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
  • Develop and maintain Model Context Protocol servers and interconnections
  • Coach teams on MCP designs and usage
  • Support software automated testing environments
  • Collaborate to implement CI/CD pipelines
  • Instrument tracing and evaluation tools to measure and improve product cycles
  • Provide requirements for network infrastructure to improve model serving
  • Support software development environments and change management systems

Skills

Information Technology understanding
Excellent communication skills
Python
SQL
Java
Ability to work with limited supervis
Strong organizational teamwork

Education

Bachelor's Degree in Computer Science / Information Systems / Engineering
4+ years of related experience or related Master’s

Tools

Airflow
Spark
Apache Iceberg
DBT
Kubernetes
Kserve
vLLM
LangFuse
Elasticsearch
Terraform
Gitlab CI/CD

Job description

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 USDCACI 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.

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