AI Software Engineer - Expert

Dark Wolf Solutions•Herndon, VA

2d•Onsite

About The Position

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We’re proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission’s biggest challenges. Dark Wolf is seeking an AI Software Engineer - Expert to lead the technical architecture, optimization, and implementation of high-throughput AI platforms. You will be responsible for building complex agentic LLM workflows, optimizing model performance for resource-constrained environments, managing multi-cloud architecture, and driving software engineering best practices across development pods.

Requirements

Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master’s degree preferred).
7-10+ years of software engineering and systems architecture experience, with demonstrated leadership.
Advanced knowledge of RAG architectures, framework customization, and orchestration strategies.
Expertise in model quantization, distillation, and custom multi-agent system design.
Extensive experience with MLOps pipeline automation, model inference optimization, and deployment lifecycle.
High-level mastery of Python, C++, Go, and asynchronous programming design.
Deep experience with Kubernetes cluster management, service mesh integration, and orchestration.
Proven experience acting as a Technical Pod Lead or Scrum Master driving development execution.
Multi-cloud systems architecture experience using Terraform and cloud-native frameworks.
Expert knowledge of DevSecOps security integrations, compliance checks, and remediation strategies.

Nice To Haves

AWS Certified Solutions Architect, Certified Information Systems Security Professional (CISSP), or Certified Kubernetes Administrator (CKA).
Proven track record deploying complex AI models in classified, air-gapped intelligence networks.

Responsibilities

Lead the architectural execution and implementation of enterprise AI applications and complex agent workflows.
Optimize model inference speed, memory efficiency, and quantization techniques for air-gapped deployments.
Design resilient multi-cloud container infrastructure using Infrastructure as Code (IaC) tooling.
Establish security scanning frameworks and lead vulnerability remediation efforts across production systems.
Serve as a technical lead, driving Agile sprint deliverables, managing technical debt, and mentoring engineering teams.