Technical Expertise
Strong software engineering skills in one or more modern programming languages
Experience with IDEs, developer tools, or build and test systems
Proficiency in Python and Java
Hands-on experience with AI- or LLM-powered developer tools, including chat-based interfaces or automated coding agents
Ability to prototype, evaluate, and refine experimental tooling
Solid understanding of software development workflows and best practices
What we'd like you to have
Code Quality Tools: Experience with automated code review or static analysis tools
Agentic AI Frameworks: Knowledge of agentic AI frameworks or orchestration systems
Developer Enablement: Experience working on developer platforms or internal engineering enablement teams
DevOps Practices: Familiarity with CI/CD pipelines and DevOps practices
VS Code Extensions: Experience developing VS Code extensions (TypeScript, Electron)
Pay transparency
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.
Tooling Development: Design and implement AI-assisted IDE and developer tooling capabilities
Agent Integration: Integrate agent-based systems for repetitive developer tasks such as code reviews, unit test generation, and code quality analysis
Experimentation: Experiment with autonomous or semi-autonomous agents to assist with development workflows
Platform Integration: Integrate new tools into existing development platforms and pipelines
Collaboration: Collaborate with customers and teammates to gather feedback and iterate on solutions
Effectiveness Measurement: Measure and document the effectiveness of tooling improvements
Clearance: Must possess and maintain an active TS/SCI w/Polygraph
Education & Experience
12 years of experience with a B.S. in a technical discipline or 4 additional years of experience in place of a degree
Technical Expertise
Strong software engineering skills in one or more modern programming languages
Experience with IDEs, developer tools, or build and test systems
Proficiency in Python and Java
Hands-on experience with AI- or LLM-powered developer tools, including chat-based interfaces or automated coding agents
Ability to prototype, evaluate, and refine experimental tooling
Solid understanding of software development workflows and best practices
