Exel
AI and Agentic Engineer I
Alameda, CA
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About the role
- This role turns early ideas into spec-driven, testable, production-ready solutions using modern AI-assisted development tools while adhering to Exelixis' security, compliance, and responsible AI standards.
- The base pay range for this position is $129,000 - $182,000 annually.
- The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location.
Responsibilities
- Build pilot AI applications and agentic workflows under the direction of senior engineers, translating ideas into working prototypes.
- Prototype rapidly using vibe-coding techniques, then evolve prototypes into maintainable code through clear specifications, structured prompts, tests, modular design, and error handling.
- Develop agents that automate multi-step IT and business tasks by connecting LLMs, prompts, tools, and APIs into practical use cases.
- Execute CI/CD pipeline tasks for automated testing, build validation gates, and artifact versioning.
- Apply secure-by-design and responsible AI principles, including data handling, privacy, and safe prompting practices aligned to Exelixis policy
- Performs other duties as assigned
Requirements
- It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field and 3 years of related experience
- Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field and 1 year or related experience
- General to Intermediate proficiency in Python and/or JavaScript/TypeScript
Nice to have
- Exposure to AWS Cloud, AWS Bedrock, Databricks Mosaic AI, or comparable agent frameworks.
- Exposure to AI-native engineering with Claude Code, Codex, GitHub Copilot, or equivalent coding agents.
- Preferred: Exposure to AWS Cloud, AWS Bedrock, Databricks Mosaic AI, or comparable agent frameworks.
Skills
- Equivalent combination of education and experience.
- General exposure to LLMs, prompt engineering, agent frameworks, or AI application development through coursework or projects.
- General familiarity with automated testing (unit/integration), linting, and CI pipelines.
- Demonstrated ability to learn new tools quickly, bias for action, and attention to detail regarding security, privacy, and compliance.
- General familiarity with REST APIs, Git, and software development fundamentals
- Knowledge, Skills and Abilities
Compensation
- The base pay range for this position is $129,000 - $182,000 annually.
- The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location.
This listing is sourced directly from Exel's careers page and normalized into a canonical job model.