Software Engineer developing library management solutions on the Spydus platform for Civica. Collaborating with the Libraries engineering team for practical and reliable software development.
About the role
- AI/ML Software Engineer at Booz Allen deploying models and integrating with projects. Collaborating with cross-functional teams to solve health issues using AI solutions.
Responsibilities
- Deploy AI models and services on cloud platforms such as AWS, Google Cloud, or Azure
- Collaborate with cross-functional teams, including data scientists, researchers, and other engineers, to integrate LLMs and RAG into broader projects
- Extend agentic capabilities, including agent orchestration and tools calling, using MCP and A2A
- Communicate technical concepts and project progress to non-technical stakeholders and team members
- Conduct experiments to fine-tune parameters and optimize model performance
- Implement techniques to improve the efficiency and scalability of LLM and RAG systems
- Stay up-to-date on the most current developments in the generative-AI space
- Monitor and maintain deployed models to ensure they perform reliably and meet performance benchmarks
- Ensure code quality by following best practices in software development, including version control, testing, and continuous integration or continuous deployment (CI/CD)
- Document code and maintain comprehensive technical documentation to support team knowledge sharing and project handovers
Requirements
- 5+ years of experience delivering production-ready, industrial strength code, and implementing CI/CD pipelines
- Experience in Python and with libraries such as TensorFlow and PyTorch
- Experience with neural network architecture, including transformers, and NLP techniques
- Experience with LLM tool or function calling and agentic orchestration
- Experience handling and preprocessing large datasets, and with data pipelining and ETL processes
- Experience with cloud platforms such as AWS, Google Cloud, or Azure, for deploying ML models
- Experience with software engineering fundamentals, including version control, testing, and CI/CD
- Ability to design efficient algorithms for data retrieval and model training, and optimize models through hyperparameter tuning
- Ability to travel up to 25% of the time
- Master’s degree
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
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