[Hiring] AI Engineer - Application Development @CACI International

Role Description

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.

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.

Qualifications

• 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.

Requirements

• Experience with vector databases (OpenSearch, pgvector) and embedding models.
• Experience with AWS GovCloud, AWS Bedrock, or Azure OpenAI Service.

Benefits

• A culture of integrity.
• An environment of trust.
• A focus on continuous growth.
• Comprehensive benefits such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

Pay Range

The proposed salary range for this position is: $75,200-$158,100.

Company Description

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.