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Exelixis

Biopharmaceutical oncology company developing cancer therapies

AI and Agentic Engineer 1

AI Application EngineeringUpdated on Nov 10
Full-timeAlameda, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field and 3 years of related experience; a master's degree in one of those fields and 1 year of related experience; or an equivalent combination of education and 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, and API integrations.
  • General exposure to LLMs, prompt engineering, agent frameworks, or AI application development through coursework or projects.
  • General understanding of agentic development concepts, including tool use, planning/execution loops, guardrails, prompt/version management, and context engineering.
  • General familiarity with automated testing, including unit and integration testing, linting, and CI pipelines.
  • General familiarity with REST APIs, Git, and software development fundamentals.
  • General to intermediate proficiency in Python and/or JavaScript/TypeScript.
  • Familiarity with APIs, Git, and software development basics.
  • Ability to communicate in writing and verbally to collaborate with cross-functional teammates.
  • Ability to learn new tools quickly, take action, and attend to security, privacy, and compliance.

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, such as Claude Code, GitHub Copilot, and 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 and validation activities.
  • Apply secure-by-design and responsible AI principles, including data handling, privacy, and safe prompting practices aligned with company policy.
  • Perform other duties as assigned and comply with all policies and standards.

Desired Qualifications

  • 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.

About the Company

Exelixis

Biopharmaceutical oncology company developing cancer therapies

Exelixis develops and commercializes medicines for cancer. Its products aim to treat advanced cancers, including renal cell carcinoma, by targeting multiple biological pathways and supporting combination regimens to achieve effective, tolerable, and durable responses. The company generates revenue from sales of approved therapies and strategic partnerships, backed by extensive research, clinical trials, and regulatory approvals to bring new drugs to market. Compared with peers, Exelixis focuses on a pipeline that combines multi-pathway targeting with combination therapies to improve patient outcomes. Its overall goal is to advance cancer treatment and offer patients better chances of remission through its ongoing drug development programs.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1994

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