AI/ML and Agentic Framework Integrator

Job Summary: SEACORP is seeking an engineer to integrate AI/ML inference services and agentic frameworks into the SWFTS Common Infrastructure Services (CIS) environment. The focus is deploying and connecting working capabilities on an existing Kubernetes platform, with secure data access and performance appropriate for mission-critical systems. Job Responsibilities Include: Deploy and integrate LLM inference endpoints using vLLM and comparable serving technologies, including model APIs, streaming responses, and GPU-backed execution. Develop and maintain Kubernetes manifests and Helm charts for AI/ML and agent services; configure GPU access, resource limits, networking, secrets, and monitoring. Integrate agent frameworks, planning tools, and Model Context Protocol (MCP) services with application interfaces such as REST, Kafka, and AMQP. Connect AI/ML applications to secure data pipelines and query services. Deploy open-weight and multimodal models; manage model artifacts, dependencies, and integration across frameworks and model formats. Develop tests and benchmarks for model quality, endpoint performance, cybersecurity controls, and CPU/GPU/RAM resource constraints. Support technical exchange/working group meetings with government and industry partners.