AI/ML and Agentic Framework Integrator

SEACORP • Manassas, VA

6d • Onsite

About The Position

SEACORP is seeking an engineer to integrate AI/ML inference services and agentic frameworks into the SWFTS Common Infrastructure Services (CIS) environment. The role focuses on deploying and connecting working capabilities on an existing Kubernetes platform, with secure data access and performance appropriate for mission-critical systems. The position is located in Manassas, Virginia, requires U.S. citizenship and a Secret clearance, and involves infrequent travel (fewer than three trips annually).

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• At least 7 years of software engineering, systems integration, or AI/ML engineering experience, including hands-on deployment of AI/ML services.
• Experience with vLLM or similar inference endpoint software, including understanding of model serving APIs, GPU utilization, latency, and throughput.
• Hands-on Kubernetes and Helm chart development for containerized AI/ML applications, including workload configuration and deployment troubleshooting.
• Working knowledge of Linux, Python, Git, YAML, REST APIs, and inference frameworks such as PyTorch or Hugging Face Transformers.
• Experience integrating agent frameworks and tool interfaces (e.g., MCP, LangChain/LangGraph) with messaging or data services such as Kafka or AMQP.
• Understanding of secure service integration, access controls, automated testing, and operational troubleshooting.
• U.S. citizenship.
• Secret clearance.

Nice To Haves

• Experience deploying multimodal or reasoning-capable open-weight models such as GLM, Llama, and Gemma, and handling .pt, .pth, .h5, or GGUF model formats.
• Experience with AI/ML pipelines for streaming, ETL, storage, query, and playback, including validation sets and benchmark datasets.
• Experience with GPU sharing and scheduling, NUMA affinity, time synchronization, and resource-bounded workloads in constrained or disconnected environments.
• Exposure to PINNs (PhysicsNeMo, DeepXDE), predictive coding (PredNet), world models (NVIDIA Cosmos), or agentic coding tools (Codex CLI, Claude Code).
• Experience with Team Submarine, SWFTS, tactical systems, or other defense integration programs.
• Delivered integrated Kubernetes-hosted model serving and agentic systems using Helm, MCP-enabled tools, and protected data services in production.
• Demonstrated AI/ML integration for air-gapped, shipboard, or other resource-constrained mission systems.

Responsibilities

• Deploy and integrate LLM inference endpoints using vLLM or 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, configuring 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 and 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, and RAM resource constraints.
• Support technical exchange and working group meetings with government and industry partners.

Benefits

• Choice of two medical insurance programs through Blue Cross & Blue Shield.
• Dental insurance through Delta Dental.
• Vision benefits with discounts and allowances for prescription glasses and contact lenses.
• 401(k) retirement savings account with employer matching contributions up to 8% of eligible compensation.
• Employer-paid life and accidental death and dismemberment insurance equal to annual salary.
• Supplemental life insurance coverage available for employees and qualified family members.
• Supplemental short-term and long-term disability insurance.
• Ten paid holidays per year, including two floating holidays.
• Paid Time Off (PTO) program.
• Tuition reimbursement.
• Referral bonuses.
• Competitive wages.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior