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
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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.
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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…