AI and Agentic Engineer I
- LocationAlameda, CA
- Work typeOn-site
- Salary144k to 182k USD a year
- EmploymentFull-time
- Posted9 November 2026
- SourceExelixis's careers page (Workday)
Live checkFirst seen 1 h ago; still listed on Exelixis's careers page 1 h ago.
At a glance
- Experience3+ years
- EducationBachelor's degree
- Skills and toolsLLMs, GitHub, CI/CD, Git, AWS, Python, JavaScript
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About the role
SUMMARY/JOB PURPOSE
The Engineer I -AI and Agentic supports Exelixis' AI initiatives by prototyping, building, and deploying agent-based applications that accelerate enterprise IT and business workflows. 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.
ESSENTIAL DUTIES/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.
- Use coding agents and modern developer tools (e.g., Claude Code, GitHub Copilot, Codex) to accelerate delivery.
- Execute CI/CD pipeline tasks for automated testing, build validation gates, and artifact versioning.
- Write documentation and runbooks, including architecture notes, setup instructions, operational SOPs, and end-user guidance.
- Participate in prompt/spec reviews, code reviews, and pre-release testing/validation activities.
- 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
- Complies with all policies and standards
SUPERVISORY RESPONSIBILITIES
- No supervisory responsibilities.
EDUCATION/EXPERIENCE/KNOWLEDGE/SKILLS & ABILITIES
Education
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field and 3 years of related experience; or
- Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field and 1 year or related experience; or
- Equivalent combination of education and experience.
Experience
- Up to 2 years of relevant experience in AI application, data science, automation, or related technical work, including hands-on experience building or contributing to LLM-enabled applications, agentic workflows, API integrations,
Knowledge, Skills and Abilities
Required:
- General exposure to LLMs, prompt engineering, agent frameworks, or AI application development through coursework or projects.
- General understanding of agentic development concepts: tool use, planning/execution loops, guardrails, prompt/version management and context engineering.
- General familiarity with automated testing (unit/integration), linting, and CI pipelines.
- General communication skills, written and verbal to collaborate with cross-functional teammates.
- 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
- Preferred: Exposure to AWS Cloud, AWS Bedrock, Databricks Mosaic AI, or comparable agent frameworks.
- Preferred: Exposure to AI-native engineering with Claude Code, Codex, GitHub Copilot, or equivalent coding agents.
Preferred:
- General to Intermediate proficiency in Python and/or JavaScript/TypeScript
- Familiarity with APIs, Git, and software development basics
Travel Requirements
- No travel is expected of this position.
#LI-EZ1
Location: Alameda, CA
Range for this position: $144,000 - $182,000
The base pay offered will take into account job-related knowledge, skills, experience and internal equity, among other factors.
In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year.
Exelixis is an Equal Opportunity Employer. We are committed to fostering an inclusive environment where everyone can thrive. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy (including lactation, childbirth, or related medical conditions), sexual orientation, gender identity, age (40 and over), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status, or any other characteristic protected by applicable federal, state, or local law. We are also committed to providing reasonable accommodations to qualified individuals with disabilities, unless undue hardship and/or a direct threat to the health and/or safety of the individual or others would result.
If you have a disability and need an accommodation in relation to the recruiting process, please email us at: ApplicantAccommodations@exelixis.com .
Exelixis is an E-Verify employer.
WORKING CONDITIONS:
Our office is a modern space that fosters collaboration and creativity. Teams work closely together, sharing ideas and solutions in a supportive atmosphere. We provide all necessary equipment, including dual monitors and ergonomic chairs, to ensure a comfortable workspace.
DISCLAIMER:
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. 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.
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