Open Source Research Software Engineer: Agentic AI (0652) Job #88097 - BIDS

The First Review Date for this job is: 8/24/26 - Open until fill ed

40% Applies advanced software concepts to plan, design, develop, modify, debug, deploy, and evaluate highly complex interface, software, and/or infrastructure solutions in interdisciplinary research collaborations.

20% Contributes to and supports the maintenance and sustainability of 1-4 projects within the scientific open source ecosystem.

Maintenance can include issue triage, code and documentation review, contributing new features, mentoring new contributors, continuous integration testing, and release management.

10% Develops project plans as part of an interdisciplinary team, delivers allocated tasks, and communicates progress regularly.

5% Analyzes existing highly complex open source software or works to formulate logic and devises algorithms for new modular and composable software systems.

Understands and applies industry practices, open source community standards, and department policies and procedures in depth.

5% Enables collaborators to design, implement, reproduce, and extend highly complex data analyses to address real-world research problems, including accessing data from varied multi-modal processing pipelines, working directly with domain scientists and open source communities as appropriate.

5% Stays up to date on applicable research and software engineering standards, including applications of agentic AI for science (new models and tools, agentic architectures, and evaluation methods), and security and accessibility practices.

Implements cutting-edge practices into software and protocol standards, meeting UC Berkeley-specific policy requirements and national and international standards as applicable.

5% Prepares and approves or obtains approval for user and developer documentation.

Initiates and oversees changes in development, maintenance and system standards.

Sets the technical requirements for software specifications, engaging across open source communities as appropriate.

Communicates technical requirements to interdisciplinary experts and trainees with varied technical expertise.

5% Serves as technical lead for one or two software development projects of moderate to broad scope.

Meets with interdisciplinary project teams and provides regular updates on progress.

5% Advances the work of the UC Berkeley Open Source Program Office (OSPO) by demonstrating the value and impact of open source practices.

Delivers trainings and provides technical and community mentorship to members of the UC-wide OSPO network.

Participates actively in monthly meetings and workshops.

• Advanced programming skills, including Python expertise.
• Demonstrated fluency using agentic AI and large language model (LLM) coding agents (such as Claude and/or Codex) for software engineering.
• Experience building software, tooling, or infrastructure for agentic AI / LLM systems such as agent frameworks, tool and skill integrations, or evaluation harnesses.
• Demonstrated software development and maintenance skills: version control with git, testing, continuous integration and/or continuous deployment with GitHub Actions or similar. Advanced knowledge of secure software development.
• Experience participating in multi-stakeholder open source communities: distributed decision making, navigating uncertainty, building consensus, coordinating paid and volunteer contributors, mentoring new members.
• Experience reviewing code through open discussion and iterations on GitHub. Demonstrated track record using issues and pull requests (or similar) for transparent and distributed project management.
• Experience structuring and analyzing complex and multi-modal datasets, ideally following and contributing back to open standards.
• A curious mindset and appetite for navigating complexity and uncertainty. A track record of scoping and delivering on requirements from interdisciplinary teams of domain experts and trainees with varied technical expertise.
• Advanced skills associated with software specification, design, modification, implementation and deployment of large-scale scope.
• Demonstrated ability to understand functional needs and how systems can support those needs, particularly in the context of leveraging existing functionality in scientific open source libraries.
• Advanced experience with planning for real-world deployment and creation of feedback mechanisms across an interdisciplinary team.
• Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and at academic and industry conferences.
• Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines.
• Demonstrated complex problem-solving skills.
• Bachelor's degree in a related area and/or equivalent experience/training.

• Proven track record building tools that are used by academic research teams to conduct cutting-edge innovation in the life sciences, physical sciences (astronomy, physics, chemistry), and geosciences, and/or the social sciences, humanities, and public health.
• Experience conducting biomedical research in academia or industry.
• Experience deploying and/or contributing to JupyterAI or related open source projects.
• Excellent project leadership and management skills.

For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website.

Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement.

This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs.

It is not typical for an individual to be offered a salary at or near the top of the range for a position.

offers are determined based on final candidate qualifications and experience.

Anticipated hiring range: $104,600 - $154,500, UCB salary range: $104,600 - $195,600.

The salary offer to the final candidate will take into consideration their experience and salary equity with current UC Berkeley employees working in similar roles.

This is a designated position requiring fingerprinting and a background check due to the nature of the job responsibilities.

Berkeley does hire people with conviction histories and reviews information received in the context of the job responsibilities.

The University reserves the right to make employment contingent upon successful completion of the background check.

As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer.

“Misconduct” means any violation of the policies or laws governing conduct at the applicant’s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC’s policies addressing some forms of misconduct:

UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy Abusive Conduct in the Workplace

The University of California is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.