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Exelixis

Biopharmaceutical oncology company developing cancer therapies

AI and Agentic Engineer 2

AI Application EngineeringUpdated on Nov 10
Full-timeAlameda, CA, USA

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field and five years of related experience; or a Master's degree in one of those fields and three years of related experience; or an equivalent combination of education and experience.
  • Two to four 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.
  • Intermediate to advanced proficiency in Python and/or JavaScript/TypeScript, including modular design, testing, and packaging.
  • Intermediate proficiency with agent frameworks and agentic patterns, including tool use, planning/execution loops, guardrails, evaluation, and prompt/version management.
  • Intermediate proficiency building and consuming REST APIs and integrating enterprise systems with OAuth/JWT, secrets management, and secure data handling.
  • Intermediate proficiency with CI/CD, automated unit and integration testing, linting, and observability for AI applications.
  • Intermediate understanding of security best practices, architecture design principles, and responsible AI/data governance.
  • Intermediate communication skills, written and verbal, and ability to collaborate with cross-functional stakeholders and mentor junior engineers.
  • Intermediate experience with cloud AI platforms, preferably AWS Cloud, AWS Bedrock, and Databricks Mosaic AI, and with vector stores or retrieval-augmented generation patterns.
  • Intermediate knowledge of AI-native engineering using Claude Code, Codex, GitHub Copilot, or equivalent coding agents.

Responsibilities

  • Design and deliver end-to-end agentic applications and multi-agent workflows that automate IT and business processes.
  • Convert prototypes into hardened, production-ready services with clear specifications, modular design, robust error handling, and comprehensive test coverage.
  • Integrate large language models, prompts, tools, APIs, and enterprise data sources such as Bedrock, Databricks Mosaic AI, and MCP servers into reliable use cases.
  • Implement CI/CD pipelines, automated evaluation harnesses, observability, and artifact versioning for AI/agent workloads.
  • Author architecture notes, runbooks, standard operating procedures, and technical documentation to support adoption, operability, and maintainability.
  • Lead prompt/spec reviews, code reviews, threat modeling exercises, and release-readiness gates.
  • Apply and promote secure-by-design and responsible AI principles, including data governance, privacy, and safe prompting aligned to organizational policy.
  • Contribute reusable components, patterns, and internal libraries to the platform.
  • Partner with product managers, security, and platform teams to translate business needs into scalable technical solutions.

Desired Qualifications

  • Experience delivering evaluation frameworks, red-teaming, or LLM observability tooling.

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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