Senior AI Software Engineer

Dark Wolf Solutions

$130K — $170K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • US Citizenship and active TS/SCI security clearance with Full-Scope Polygraph required.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's degree preferred).
  • 4-7 years of software engineering experience required.
  • Hands-on experience with AI frameworks like LangChain, LlamaIndex, or Hugging Face.
  • Practical experience in fine-tuning Large and Small Language Models (LLMs and SLMs).

Responsibilities

  • Fine-tune open-source and proprietary AI models for specific mission needs.
  • Develop RAG pipelines and integrate vector search using advanced AI frameworks.
  • Build, deploy, and oversee containerized microservices with Docker and Kubernetes.
  • Integrate automated security scanning tools within CI pipelines.
  • Collaborate in Agile teams to decompose technical requirements and mentor junior developers.

Benefits

  • Opportunities for professional development and advanced certifications.
  • Engagement in impactful projects within the AI/ML sphere.
  • Collaborative and innovate-focused work environment.
  • Flexibility in working across multi-cloud infrastructures.
Full Job Description
Dark Wolf is seeking a Senior AI Software Engineer to design, build, and integrate AI/ML solutions and microservices. You will work directly on integrating open-source and proprietary models, fine-tuning workflows, constructing RAG (Retrieval-Augmented Generation) 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: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.
  • Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master's degree preferred).
  • Experience: 4-7 years of software engineering experience.

Technical Competencies:
  • AI Frameworks: Hands-on experience with frameworks such as LangChain, LlamaIndex, or Hugging Face.
  • 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 cluster orchestration, and Helm charts.
  • Agile Frameworks: Active participation in Agile sprint execution, story estimation, and backlog refinement.
  • Multi-Cloud Architecture: Experience configuring and managing cloud services across AWS or Azure GovCloud environments.
  • Security Scanning Tooling: Experience embedding SAST/DAST tools into CI/CD build environments.

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

Position Clearance Requirement:

US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph

Location: Chantilly/Herndon, VA.

Target Salary Range: $130,000.00 - $170,000.00 (Commensurate with specialized expertise and technical skillset).

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