Job Title: AI Full Stack Developer
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: NACI
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Local
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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.
Qualifications:
Required:
• 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.
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:
$63,300-$129,700