AI/ML Platform Engineer

Description

Join the company's Lisle DevOps team as an AI/ML Platform Engineer, supporting on-premises LLM-enabled technologies and agentic workflows in development and test environments.

The work calls for a solid grasp of AI infrastructure and DevOps practice, and for working well with teams across functions.

The company supports customer missions, and this team keeps the tooling behind them running.

Responsibilities

• Design a new LLM-enabled stack from the ground up to power agentic workflows.
• Deploy and monitor open-weight LLMs running on local Kubernetes clusters.
• Build and maintain RAG pipelines for document processing, chunking, embedding, retrieval and reranking, working with existing models and services.
• Create and maintain Model Context Protocol (MCP) servers and connect them to current services, and coach teams on sound MCP design and use.
• Help support automated software testing environments.
• Work with developers to set up CI/CD pipelines.
• Add tracing and evaluation tools that measure and compare results so current product cycles keep improving.
• Specify network infrastructure needs that make model serving faster and more reachable.
• Support software development environments and change management systems.

Requirements

• Broad knowledge of IT.
• Clear written and spoken communication.
• Working familiarity with Python, SQL and Java.
• Experience building data pipelines with Airflow, Spark, Apache Iceberg or DBT.
• Experience running AI/ML infrastructure with 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 of pipelines fed by open and proprietary sources.
• Ability to work with limited supervision and adapt to change.
• Strong organization and teamwork skills.
• Good work ethic and diligence in everything you produce.
• Ownership of your requirements and tasks, with the initiative to drive them forward.
• Knowledge of IT system processes, including requirements definition, analysis, design, implementation, networking, security and life-cycle support.
• A bachelor's degree or equivalent in computer science, information systems, engineering or a related scientific or technical field, plus at least four years of related experience; or a similar master's degree plus two years of related experience.
• Experience supporting small to mid-sized organizations with 100+ users.
• Experience analyzing, designing, implementing and supporting large, complex, inter-networked systems.
• A TS/SCI clearance is required before you start. The company can provide clearance sponsorship for qualified candidates.

Conditions

Full-time, in-office schedule.

Regular employee type.

Travel is occasional, local, and up to 10%.

The proposed salary range is $90,300 - 189,600 USD.

Final pay depends on factors such as location, Federal Government contract labor categories and wage rates, prior related experience, specific skills and competencies, education and certifications.

Benefits

• Comprehensive benefits covering healthcare, wellness, financial, retirement, family support, continuing education and time off.
• Flexible time off and access to learning resources.
• Room to balance quality work with personal life.