AI Full Stack Developer

The Opportunity:
The candidate will be responsible for designing, building, and deploying end-to-end web applications that leverage Artificial Intelligence (AI) and Large Language Models (LLMs) within a secure Department of War (DoW) environment. This requires standard full-stack development skills (frontend UI, backend APIs, and databases) combined with the ability to integrate modern AI pipelines.

** Position is on-site in Dayton, OH**

** Position requires U.S. Citizenship**
Qualifications:
Required: 

· Must be a US Citizenship

· Must be located in the Dayton, OH area
· Backend Development: Advanced proficiency in Python and API frameworks (e.g., FastAPI, Flask) to build the core logic and connect user interfaces to AI models.
· Frontend Development: Experience building clean, intuitive user interfaces using modern frameworks (e.g., React, Vue) or AI-focused UI libraries (e.g., Streamlit) for chat interfaces and search dashboards.
· Data & Database Architecture: Strong experience with relational databases (e.g., PostgreSQL) and Vector Databases (e.g., pgvector, Milvus, Chroma) to manage both application data and AI-searchable embeddings.
· AI Data Integration (RAG): Hands-on experience designing and implementing Retrieval-Augmented Generation (RAG) workflows to allow the AI to securely reference and search internal documents.
· DevOps & Infrastructure: Experience containerizing applications using Docker/Podman and utilizing version control (Git) to package applications for stable deployment.
Desired:
· Secure / Air-Gapped Deployment: Understanding of how to deploy containerized applications in restricted, disconnected, or IL5+ environments without relying on active external cloud connections.
· Open-Source AI Ecosystem: Experience utilizing the Hugging Face library/hub to evaluate, download, and implement open-weight models (e.g., Llama 3, Mistral) locally.
· Local Compute Optimization: Familiarity with model runtime tools (e.g., vLLM, llama.cpp) and quantization techniques (e.g., GGUF) to run large AI models efficiently on standard DoD hardware.
· AI Orchestration Frameworks: Familiarity with frameworks like LangChain or LlamaIndex to accelerate the development of complex AI agent workflows.
· AI Safety & Evaluation: Ability to implement system "guardrails" to prevent off-topic outputs and mitigate AI hallucinations, ensuring secure and accurate mission-support tools.

What You Can Expect:

 A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is: