AI Applications Engineer

Bitwise•Laurel, MD

1d•Onsite

About The Position

We're building next-generation AI infrastructure, and we need a software engineer who's ready to be hands-on at the center of it. In this role, you'll help develop and maintain the tools and applications that let a broad customer base harness AI capabilities seamlessly and efficiently. You'll work alongside an AI infrastructure team, contribute to a growing ecosystem of AI-enabled applications, and engage directly with customers to understand their needs and turn them into real solutions. This isn't a static environment — mission needs evolve quickly and new technology emerges constantly. You'll need to stay sharp, pick up new skills on the fly, and have the confidence to take loosely defined problems and drive them to well-engineered solutions. You'll also modify open-source software to fit unique customer use cases and help keep production systems healthy, available, and secure. If you're energized by working at the intersection of software engineering and AI — and you want your work to matter — this is your seat at the table.

Requirements

Proficiency with Python or another object-oriented programming language
Knowledge of and hands-on experience using LLMs as part of a code solution workflow
Familiarity with UI/UX principles
Ability to learn new technologies quickly and adapt to shifting requirements
Strong communication skills and a willingness to ask questions and engage with stakeholders
Experience regularly engaging with customers to elicit requirements and develop solutions
3 years of experience with a B.S. in a technical discipline, or 7 years of experience in lieu of a degree
Active TS/SCI clearance with polygraph

Nice To Haves

Experience with LLM UI open-source software such as OpenWebUI
Familiarity with AWS or other cloud service providers
Experience with Kubernetes and Helm
Familiarity with Argo CD and/or other CI/CD frameworks
Experience supporting production software using Site Reliability Engineering (SRE) best practices
Experience with Docker and containerization

Responsibilities

Develop and maintain tools and applications for AI infrastructure.
Work alongside an AI infrastructure team.
Contribute to a growing ecosystem of AI-enabled applications.
Engage directly with customers to understand their needs and develop solutions.
Modify open-source software to fit unique customer use cases.
Help keep production systems healthy, available, and secure.
Stay sharp, pick up new skills on the fly, and take loosely defined problems to well-engineered solutions.