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AI and Agentic Engineer I

Job in Alameda, Alameda County, California, 94501, USA
Listing for: Exelixis, Inc.
Full Time position
Listed on 2026-09-12
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 129000 - 182000 USD Yearly USD 129000.00 182000.00 YEAR
Job Description & How to Apply Below
## AI and Agentic Engineer IApplylocations:
Alameda, CAtime type:
Full time posted on:
Posted Yesterday job requisition :
JR7022
** 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, Git Hub 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, Git Hub Copilot, or equivalent coding agents.
** Preferred:
*** General to Intermediate proficiency in Python and/or JavaScript/Type Script
* Familiarity with APIs, Git, and software development basics
** Travel Requirements
*** No travel is expected of this position.#LI-EZ1### ### Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on…
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