AI Engineer – Application Development

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CACI International Inc

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1962

🔒 Cybersecurity

Defense • IT • Cybersecurity

CACI International Inc is a diversified company that provides a wide range of services and solutions primarily to the U. S. government and commercial sectors. CACI specializes in offering security services, IT solutions, and intelligence support, helping clients enhance their cyber capabilities and secure their networks. The company is recognized for its innovative workforce and the technology it provides to clients in enterprise and mission-critical environments. CACI is committed to diversity and inclusion, offering an array of career opportunities for both new graduates and experienced professionals, including veterans.

📋 Description

• Design and develop AI-enabled features for web-based workflow applications using LLMs, GenAI, and agentic AI patterns • Build RAG pipelines using application data, policy documents, user manuals, help cards and business process publications. • Implement agentic workflows using orchestration frameworks (LangGraph, Agno, Haystack, CrewAI) for AI based application assistants. • Implement prompt engineering strategies and integrate AI/LLM APIs (OpenAI, Bedrock). • Architect full-stack AI features with reliable API integrations, error handling, and graceful degradation. • Establish LLM observability (cost, latency, quality) and responsible AI guardrails (hallucination detection, output validation, CUI safeguards). • Maintain full-stack applications (including Web Application development using modern technologies such as React, TypeScript, NodeJS, Python and Java) • Address security vulnerabilities and ensure compliance with cybersecurity standards. • Participate in code reviews, CI/CD pipelines, and collaborative development workflows. • Document technical implementations and stay current with AI and ML developments.

🎯 Requirements

• Bachelor’s degree in computer science, Data Science, Mathematics, or related STEM field. • 5+ years of experience with software implementation across all aspects of the SDLC • 1+ years of hands-on experience developing generative AI / LLM-powered applications • Expert-level proficiency in Python; strong JavaScript proficiency • Experience with RESTful APIs and integrating AI/LLM APIs (OpenAI, Bedrock) • Experience with prompt engineering techniques (few-shot, chain-of-thought, system prompts) • Experience with LLM orchestration frameworks such as LangGraph, Agno, CrewAI, or similar • Experience with RAG architecture, agentic patterns, and vector databases • Strong understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, feature engineering, NLP) • Experience with data analysis and ML libraries (pandas, NumPy, scikit-learn, or equivalent) • Experience with containerization (Docker) and at least one major cloud platform (AWS, Azure, or GCP)

🏖️ Benefits

• healthcare • wellness • financial • retirement • family support • continuing education • time off benefits