AI Engineer – Application Development

CACI International Inc

AI Engineer developing AI solutions for web-based workflow applications within the Federal Government. Collaborating with teams to refine use cases and build intelligent dashboards and chatbots.

Posted 4/29/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $75,200 - $158,100 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDockerGoogle Cloud PlatformJavaJavaScriptNode.jsNumpyPandasPythonReactScikit-LearnSDLCTypeScript

About the role

Key responsibilities & impact

Join our team as an AI Engineer to design and deliver AI based solutions for a web based workflow application for the Federal Government.
Learn customer business workflows, refine business use cases that can leverage AI enablement and build cutting-edge AI solutions that directly result in productivity increase, enhanced user experience and cost savings.
Work with cross-functional teams to develop AI-enabled features, build Proof of Concept (POC) for agentic solutions and translate it into Production Ready systems.
Utilize latest AI tools to develop AI chatbots, Agentic workflows, intelligent dashboards and application assistants.
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

What you’ll need

Bachelor’s degree in Computer Science, Data Science, Mathematics, or related STEM field
Masters degree preferred
Minimum 5+ years relevant experience
5+ years of experience with software implementation across all aspects of the SDLC
1+ years 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 architectures, 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)
Proficiency with Git version control and CI/CD pipelines
Strong written and verbal communication skills.

Benefits

Comp & perks

healthcare
wellness
financial
retirement
family support
continuing education
time off benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI solutionsweb-based workflow applicationsLLMsGenAIPythonJavaScriptRESTful APIsprompt engineeringdata analysisML fundamentals

Soft Skills

communication skillscollaborative developmentcode reviewsproblem-solvingcross-functional teamwork

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in related field