Senior AI Software Engineer

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. The company is seeking a Senior AI Software Engineer to design, build, and integrate AI/ML solutions and microservices, working directly on integrating open‑source and proprietary models, fine‑tuning workflows, constructing Retrieval‑Augmented Generation (RAG) applications, and deploying secure software in multi‑cloud environments.

Key Responsibilities

• Fine‑tune open‑source and proprietary AI models for domain‑specific mission requirements.
• Develop RAG pipelines and vector‑search integrations using modern AI frameworks.
• Build, deploy, and manage containerized microservices using Docker and Kubernetes.
• Integrate automated security scanning tools directly into continuous integration pipelines.
• Collaborate within Agile teams to break down technical requirements, conduct technical reviews, and mentor junior developers.

Required Qualifications

• Clearance: U.S. Citizen with an active TS/SCI security clearance and Full‑Scope Polygraph.
• Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field (Master’s preferred).
• Experience: 4–7 years of software engineering experience.
• AI Frameworks: Hands‑on experience with LangChain, LlamaIndex, Hugging Face, or similar.
• AI Models: Practical experience fine‑tuning Large Language Models (LLMs) and Small Language Models (SLMs).
• Machine Learning: End‑to‑end knowledge of model training, dataset curation, and data‑pipeline design.
• Programming & Scripting: Strong proficiency in Python, C++, and REST API architecture.
• Containerization: Proficient with Docker, Kubernetes orchestration, and Helm charts.
• Agile Frameworks: Active participation in sprint execution, story estimation, and backlog refinement.
• Multi‑Cloud Architecture: Experience configuring and managing services across AWS or Azure GovCloud.
• Security Scanning Tooling: Experience embedding SAST/DAST tools into CI/CD pipelines.

Desired Qualifications

• Specialized certifications such as Kubernetes Certified Administrator (CKA) or AWS Certified Developer/Architect.
• Experience working on high‑assurance or government security projects.

Pay

Target Salary Range: $130,000 – $170,000 (commensurate with specialized expertise and technical skillset).