C

CACI

Provides government contracting technology and services

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$114.6k - $252.1k

About the Job

Requirements

  • U.S. citizenship is required.
  • Ability to obtain and maintain a Secret clearance.
  • At least 15 years of relevant experience; a bachelor's degree in a relevant field may substitute for five years of relevant experience.
  • Hands-on experience building large language model applications, including retrieval-augmented generation, prompt engineering, and agentic workflows.
  • Proficiency in Python and experience with LangChain, LlamaIndex, or similar AI frameworks.
  • Experience with Azure cloud services, including Azure OpenAI, AI Foundry, DevOps, and API Management.
  • Experience with Docker containers and REST API development and integration.
  • Working knowledge of vector databases and embedding strategies.
  • Experience with test automation and quality assurance for software or AI systems.
  • Experience with ServiceNow integration or scripting, such as Flow Designer, REST APIs, or development.
  • Ability to translate requirements into working solutions and communicate technical results to non-technical stakeholders.
  • Familiarity with workflow orchestration tools and business process automation.

Responsibilities

  • Build AI workflows and agents using the platform's frameworks, tools, and reference architectures.
  • Develop retrieval-augmented generation pipelines, including document ingestion, chunking, embedding, vector search, and retrieval tuning.
  • Build prompt chains, tool calls, and agent logic for document generation, summarization, and task automation.
  • Integrate AI workflows with Azure OpenAI services, ServiceNow APIs, including Flow Designer, REST, and scripted integrations, and internal data sources.
  • Build reusable components, templates, and connectors for technical and non-technical users.
  • Implement workflow orchestration and business process automation.
  • Develop and execute test plans for AI workflows, including unit, integration, and user acceptance testing.
  • Build evaluation datasets and automated evaluation harnesses to measure accuracy, relevance, groundedness, and reliability of large language model outputs.
  • Define and track success metrics and evaluation criteria for AI-driven workflows.
  • Identify, document, and triage defects, hallucinations, and performance issues, and drive root-cause analysis and remediation.
  • Perform regression testing when models, prompts, or platform components change.
  • Partner with the AI Platform Architect to implement designs, evaluate tools, and provide feedback on platform capabilities and limitations.
  • Prototype solutions and proofs of concept for government use cases, and present results to customers and stakeholders.
  • Work with ServiceNow developers and Azure cloud engineers to troubleshoot integration issues across Azure, ServiceNow, and government networks.
  • Contribute to design reviews, engineering standards, and technical documentation.
  • Support technical screening of AI/ML talent when requested.
  • Support monitoring, logging, and alerting for AI workflows and agents.
  • Manage prompt and model versioning, and support continuous integration and continuous deployment of AI services.
  • Monitor output quality, model drift, and data quality in production workflows, and report findings.
  • Track model and compute usage costs and recommend optimizations.
  • Build and operate within DISA Security Technical Implementation Guides, IL-5 requirements, and Department of the Air Force security policies.
  • Implement controlled unclassified information handling and data classification controls in AI workflows.
  • Provide engineering evidence and documentation to cybersecurity teams for authorization to operate and continuous monitoring.

Desired Qualifications

  • Active Secret clearance; Top Secret eligibility is preferred.
  • Experience in government cloud environments such as Azure Government, AWS GovCloud, or similar.
  • Experience with Kubernetes or Azure Kubernetes Service.
  • Familiarity with Department of Defense compliance frameworks, including IL-4/IL-5, FedRAMP, NIST 800-53, and Security Technical Implementation Guides.
  • Experience with machine learning operations tools and practices, including MLflow, continuous integration and continuous deployment for machine learning, and model monitoring.
  • Experience with PostgreSQL and data modeling for AI workloads.
  • Experience with authorization to operate processes and security accreditation.
  • Experience with ServiceNow Flow Designer or ServiceNow development certification.
  • Security+ certification.

About the Company

CACI

Provides government contracting technology and services

CACI International Inc. provides technology and professional services to U.S. government clients, focusing on national security and modernization. It earns most of its revenue through long-term government contracts that fund engineering, intelligence, logistics, cybersecurity, data analytics, and IT solutions for defense, intelligence, and federal civilian agencies. Its products and services work by delivering specialized technical expertise, secure systems, and mission-support capabilities that help agencies run operations more efficiently and securely. CACI differentiates itself through its deep domain knowledge in national security, a proven track record of delivering high-quality, reliable solutions, and a skilled workforce that can execute complex, long-duration contracts. The company’s goal is to be a trusted partner for government modernization needs by providing advanced technology solutions and mission support that enhance national security and operational effectiveness.

Company size
10,001+
Company stage
IPO
Headquarters
Reston, VA
Founded
1962

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