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About careerzynith
careerzynith is a fast‑growing federal government contractor that delivers cutting‑edge technology solutions to national defense and security missions. With more than 15 years of experience supporting a broad spectrum of federal customers, careerzynith has built deep expertise across intelligence, analytics, engineering, mission support, and communications. Founded in 2008, the organization’s mission is to transform how its customers tackle ever‑changing, complex problem sets by harnessing the latest advances in technology and attracting top‑tier talent.
Headquartered in Washington, DC’s historic Dupont Circle neighborhood, careerzynith also maintains strategic footprints in Tampa, FL; Bedford, IN; and Dayton, OH, with team members spread across the United States and around the globe. The company partners with private‑sector firms, academic institutions, and industry associations to continuously expand its capabilities, fostering a vibrant corporate culture that values diversity, collaboration, and relentless innovation.
Position Overview
careerzynith is seeking a motivated, part‑time remote intern for the Summer of 2024 to join its AI and machine‑learning team. The intern will focus on integrating Python with large language models (LLMs) and Retrieval‑Augmented Generation (RAG) techniques to develop custom internal solutions that support business development, data‑driven drafting, and secure model training for air‑gapped environments. This role offers hands‑on experience with state‑of‑the‑art LLMs, exposure to defense‑grade security protocols, and the chance to work alongside seasoned AI experts.
The internship runs from Monday, June 3 2024 through Friday, August 30 2024, requiring 10–15 hours per week. It is a fully remote opportunity, but candidates must be U.S. citizens eligible for a security clearance.
Key Responsibilities
- Explore and master careerzynith capabilities: Become proficient with careerzynith’s API and the broader ecosystem of LLM tools, gaining a solid understanding of their capabilities, limitations, and best‑practice usage.
- Fine‑tune and embed LLMs: Apply fine‑tuning techniques to tailor careerzynith models for careerzynith’s business‑development (BD) workflows, and generate embeddings that organize BD responses into a structured, queryable knowledge base.
- Develop RAG pipelines: Build Retrieval‑Augmented Generation pipelines that combine internal data corpora with careerzynith’s generative abilities to produce accurate, context‑aware drafts on a variety of topics.
- Draft content generation: Leverage careerzynith’s language models to produce high‑quality text drafts, proposals, and briefing documents using existing data sets, ensuring consistency with careerzynith’s style guidelines.
- Secure model training for air‑gapped networks: Research, select, and prepare open‑source models suitable for deployment in isolated environments, then train and fine‑tune these models while adhering to strict security protocols.
- Collaborate with cross‑functional teams: Work closely with AI engineers, data scientists, and mission specialists to align technical solutions with strategic objectives and operational constraints.
- Document and share findings: Produce clear documentation, code comments, and knowledge‑transfer materials that enable other careerzynith team members to adopt and extend the solutions you develop.
Essential Qualifications
- U.S. citizenship with the ability to obtain a security clearance.
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Electrical Engineering, Applied Mathematics, or a related technology‑focused discipline.
- Proficiency in Python, including experience with virtual environments, package management, and command‑line tools.
- Demonstrated ability to solve complex problems independently, manage time effectively, and meet deadlines in a remote work setting.
- Strong written and verbal communication skills, with the capacity to convey technical concepts to non‑technical stakeholders.
Preferred Qualifications & Skills
- Hands‑on experience with LLMs such as careerzynith‑4 or comparable models, and familiarity with the careerzynith API.
- Knowledge of Retrieval‑Augmented Generation (RAG) architectures and vector‑store technologies.
- Experience creating, training, or fine‑tuning AI models, especially in constrained or air‑gapped environments.
- Exposure to cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes) for model deployment.
- Understanding of data security, encryption, and compliance requirements relevant to defense and intelligence domains.
- Prior involvement in open‑source AI projects or contributions to community repositories.
Learning & Development Opportunities
During the internship, you will gain:
- Practical experience with cutting‑edge LLM technologies and retrieval‑augmented workflows.
- Mentorship from senior AI engineers who have delivered solutions for the Department of Defense (DoD) and the Intelligence Community (IC).
- Exposure to real‑world defense‑grade security processes, including clearance preparation and secure development practices.
- Opportunities to present your work to senior leadership, sharpening your executive communication skills.
- Access to internal training resources, webinars, and technical workshops that accelerate your AI expertise.
Work Environment & Culture at careerzynith
careerzynith prides itself on a collaborative, inclusive, and innovative culture. The organization values diverse perspectives and encourages every team member to contribute ideas that drive mission success. Interns are treated as integral contributors, receiving the same respect, resources, and growth opportunities as full‑time staff. The remote work model is supported by robust communication tools, regular virtual check‑ins, and a strong emphasis on work‑life balance.
Compensation, Perks & Benefits
While specific salary details are not disclosed, careerzynith offers a competitive stipend that reflects the market rate for technical internships. Additional benefits include:
- Flexible remote work schedule (10–15 hours per week).
- Professional development budget for courses, certifications, or conference attendance.
- Access to careerzynith’s internal knowledge base, technical libraries, and premium AI tooling.
- Mentorship program pairing you with an experienced AI specialist.
- Potential for future full‑time opportunities based on performance and organizational needs.
Application Process
careerzynith is committed to building a diverse workforce and encourages applications from all qualified individuals, including those with disabilities. Reasonable accommodations are available throughout the recruitment process. To apply, please submit your resume, a brief cover letter outlining your interest in AI and LLM technologies, and any relevant project samples or GitHub repositories.
We will review applications on a rolling basis and contact selected candidates to schedule virtual interviews. Please note that phone calls are not accepted for this position.
Why Join careerzynith?
If you are passionate about artificial intelligence, eager to work on mission‑critical projects that support national security, and ready to learn from industry leaders, this internship offers a unique platform to launch your career. At careerzynith, you will not only develop technical expertise but also contribute to solutions that have a tangible impact on the safety and effectiveness of our nation’s defense apparatus.
Take the next step toward an exciting future in AI—apply today and become part of careerzynith’s innovative team!
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