Note: The job is a remote job and is open to candidates in USA. CACI bv is seeking an AI Engineer to research, design, and build Artificial Intelligence and Machine Learning solutions. The role involves working with a cross-functional team to develop AI-driven features and implement integrations across various use cases, while following agile methodologies.
Responsibilities
- Forward thinking vision of how RAG can be integrated within a software development lifecycle and business practices, keeping abreast of new developments in RAG, NLP, and related fields
- Designing and implementing retrieval systems: Creating efficient ways to store and quickly access large amounts of relevant information
- Implementing safeguards: Developing mechanisms to prevent the system from retrieving or generating inappropriate or harmful content
- Developing and fine-tuning language models: Working with large language models to optimize their performance for specific tasks and domains
- Evaluation and testing: Designing and conducting tests to measure the system's accuracy, relevance, and overall performance
- Integrating retrieval and generation components: Ensuring seamless interaction between the retrieval system and the language model
- Follow a CACI agile methodology, attending daily standups, refinement sessions, and updating agile project management system to ensure transparency
- Design and implement agentic workflows using supervisor and orchestration patterns with frameworks such as LangGraph, CrewAI, or similar multi-agent orchestration tools
- Establish observability and evaluation pipelines using tools like Langfuse, LangSmith, or similar platforms to monitor, trace, and assess LLM application performance
Skills
- Bachelor's degree in computer science, software engineering, or a related field
- 3-5 years of software development experience with 2-5 years of relevant experience in NLP, machine learning, or AI development
- Experience designing agentic flows using supervisor, routing, and hierarchical patterns with frameworks such as LangGraph or equivalent
- Experience with Linux and Linux based terminals
- Understanding of RAG architecture and principles, experience implementing RAG systems, and familiarity with popular RAG frameworks and tools
- Knowledge of security best practices for AI systems
- Strong programming skills, particularly in Python, Javascript, rust, golang
- Experience with vector databases, embedding techniques, and data pipelines
- Experience with information retrieval systems
- Experience with RESTful APIs and Cloud Services (AWS, OCI)
- Experience with data preprocessing, normalization, cleaning, encoding data into vector representations
- Knowledge of text analytics and semantic search techniques
- Experience with prompt engineering
- Experience working with multiple teams in an agile environment, with data scientists, UI/UX designers, and subject matter experts to improve the overall system
- Self-motivated with ability to quickly adapt and learn emerging disciplines and techniques
- Active Secret or Top-Secret clearance
- T5 level background investigation (possesses or must be able to obtain)
- Familiarity with version control systems (e.g., Git)
- Experience with containerization (e.g., Docker)
- Experience with relational databases, including schema design
- Experience implementing observability, tracing, and evaluation frameworks for LLM-based applications
- Understanding of CI/CD pipelines
Benefits
- Unique flexible time off benefit
- Access to robust learning resources
- Comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits
- Learning and development opportunities
- Benefits options designed to support and protect employees and their families
Company Overview