Software Engineer 3 (AI Assisted Developer Tooling)

Overview BigBear.ai is seeking a Software Engineer 3 to focus on improving the productivity and experience of software developers by building and integrating advanced development tooling. This role emphasizes AI-assisted IDE capabilities , automated code quality workflows , and experimentation with agentic and autonomous systems to support software development tasks. If you are passionate about enhancing developer workflows, leveraging AI to solve complex challenges, and building innovative tools, this is the opportunity for you. What you will do 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 What you need to have 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 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) 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