AI Engineer - Application Development

CACI International

2d•$75,200 - $158,100•Remote

About The Position

Join our team as an AI Engineer to design and deliver AI based solutions for a web-based workflow application for the Federal Government. You will 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. You will 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. You will utilize latest AI tools to develop AI chatbots, Agentic workflows, intelligent dashboards and application assistants. Only US citizens need to apply. (Non-Citizens and Visa Candidates need not apply) Geographic location – Strictly from EST and CST time zones only.

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)

Nice To Haves

Proficiency with Git version control and CI/CD pipelines
Strong written and verbal communication skills

Responsibilities

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.