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Software Engineer 3 (AI Assisted Developer Tooling)

Bigbear

Columbia, MD · Posted September 25, 2026

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How AI is used in this kind of work

Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Skills this job asks for

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  • Python
  • Supply chain
  • CI/CD
  • Java
  • DevOps

About the job

Residency

All applicants must reside in the United States at the time of application.

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)

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