Artificial Intelligence Software Engineer
| Company | Booz Allen |
|---|---|
| Location | Aberdeen, MD, USA, McLean, VA, USA |
| Salary | $86800 – $198000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- 3+ years of experience implementing, testing, and fielding automation AI and machine learning solutions, with technologies such as PyTorch, MXNet, TensorFlow, or Keras, and big data technologies, including Hive, PySpark, Synapse, or Databricks
- 3+ years of experience deploying and integrating containerized software applications using container orchestration platforms such as Kubernetes
- 3+ years of experience designing enterprise production software solutions to meet client requirements
- Experience developing NLP, LLM, and Retrieval-Augmented Generation (RAG) enabled solutions using LangChain or LlamaIndex, LLM model registries, and embedding models and vector databases
- Experience using Git for version control in a collaborative software development environment
- Experience creating solutions to complex problems within a collaborative, cross-functional team
- Secret clearance
- Bachelor’s degree in a CS field and 5+ years of experience as a software engineer building production-grade applications with a programming language such as Python, Rust, Go, Scala, or Java, or 9+ years of experience as a software engineer building production-grade applications with a programming language such as Python, Rust, Go, Scala, or Java, in lieu of a degree
Responsibilities
- Create and implement complete end-to-end solutions that modernize client systems
- Ensure that your team’s solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements
- Deepen your skill set in areas like Natural Language Processing (NLP) and Large Language Model (LLM)
Preferred Qualifications
- 3+ years of experience working closely with software development teams
- Experience with project, task, and team leadership
- Experience implementing event-driven or streaming architectures leveraging Kafka, Amazon SNS, Redpanda, or Apache Flink
- Experience running, troubleshooting, and debugging applications on Linux systems
- Experience building or maintaining production-grade RESTful APIs or software interfaces
- Experience with software architecture in the development of microservices
- Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use
- Ability to work with automated testing tools to perform testing and maintenance
- Master’s degree