Exelixis

AI and Agentic Engineer Associate

Exelixis$103K — $145K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, AI, Data Science, Software Engineering, or related field; or equivalent experience.
  • Early software engineering, data science, or automation experience from internships, projects, or hackathons.
  • Portfolio or project demonstrating coding, automation, AI, or problem-solving skills.
  • Foundational programming ability in Python, JavaScript/TypeScript, Java, or similar languages.
  • Basic understanding of software development principles such as data structures, APIs, and Git.
  • Introductory knowledge of AI and machine learning concepts acquired through coursework or self-study.
  • Clear written and verbal communication skills for collaboration with team members.

Responsibilities

  • Assist in developing AI-enabled prototypes, tools, and workflow automations.
  • Translate defined requirements into software components, scripts, and test cases.
  • Support prompt engineering and API integrations for basic agent workflows.
  • Utilize AI-assisted development tools to improve code and document processes.
  • Write and run unit tests and validation checks to ensure proper functionality.
  • Maintain comprehensive documentation including user instructions and summaries.
  • Participate in code reviews and team learning activities.

Benefits

  • Comprehensive benefits package including medical, dental, and vision coverage.
  • 401k plan with generous company contributions.
  • Discretionary annual bonus program and long-term incentives.
  • 15 vacation days and 17 paid holidays including a company-wide shutdown in December.
  • Opportunity to purchase company stock and participate in sales-based incentive plans.
Full Job Description
SUMMARY/JOB PURPOSE

The Associate Engineer - AI and Agentics is responsible for building foundational AI-enabled applications, prototypes, prompts, tests, documentation, and agentic automations while learning SDLC best practices, security expectations, and responsible AI standards.

ESSENTIAL DUTIES/RESPONSIBILITIES
  • Assist in building simple AI-enabled prototypes, internal tools, and workflow automations.
  • Translate clearly defined requirements into small software components, scripts, prompts, test cases, and configuration changes.
  • Support prompt engineering, basic agent workflows, retrieval-assisted use cases, and API integrations.
  • Use approved AI-assisted development tools, such as coding copilots or agentic coding tools, to learn, prototype, document, and improve code with appropriate review.
  • Write and execute basic unit tests, validation checks, and troubleshooting steps to confirm expected behavior.
  • Maintain clear documentation, including setup notes, design summaries, prompt/spec notes, user instructions, and operational runbooks.
  • Participate in code reviews, demos, testing sessions, backlog discussions, and team learning activities.
  • Follow company policies for data privacy, information security, access control, compliance, and responsible use of AI.
  • 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; or
  • Equivalent combination of education and experience.


Experience
  • Candidates with early experience of software engineering, data science, automation, or related technical work gained through internships, academic projects, research assignments, open-source contributions, hackathons, or personal portfolio work.
  • Portfolio, GitHub repository, class project, internship deliverable, or capstone project that demonstrates coding, automation, AI, data, or problem-solving skills.


Knowledge, Skills and Abilities

Required:
  • Foundational programming ability in Python, JavaScript/TypeScript, Java, or a similar language, demonstrated through coursework or projects.
  • Basic understanding of software development fundamentals, including data structures, APIs, Git, debugging, testing, and documentation.
  • Introductory knowledge of AI, machine learning, generative AI, LLMs, prompt engineering, or data science concepts through coursework, projects, or self-directed learning.
  • Ability to learn and apply approved AI-assisted development tools responsibly, with review and coaching from senior team members.
  • Ability to quickly acquire new knowledge, apply critical thinking, maintain attention to detail, and ask insightful questions to resolve uncertainty in requirements or technical approaches.
  • Clear written and verbal communication skills, including the ability to explain work, document decisions, and collaborate with technical and non-technical teammates.
  • Ability to apply principles of responsible AI, data privacy, information security, and ethical technology practices in day-to-day work.


Preferred:
  • Basic familiarity with cloud platforms, databases, REST APIs, notebooks, or data tools is preferred.


Travel Requirements
  • 0% 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 those defined markets. The base pay range for this position is $103,000 - $145,000 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. The base pay offered will take into account the candidate's geographic region, 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.

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.

About Exelixis

Exelixis is a biotechnology company that develops and commercializes innovative medicines for the treatment of cancer. The company's flagship product, CABOMETYX® (cabozantinib), is an inhibitor of multiple tyrosine kinases, including MET, AXL, and VEGFR, which are involved in the growth and spread of cancer cells. CABOMETYX is approved in the United States for the treatment of advanced renal cell carcinoma (RCC) and hepatocellular carcinoma (HCC), and is also approved in the European Union and other countries for the treatment of advanced RCC. Exelixis is headquartered in Alameda, California, and has additional offices in South San Francisco, California, and Basel, Switzerland. Learn more at www.exelixis.com.
Learn more about Exelixis
Size
954 employees
Market Cap
$5 billion
Industry
Net Income
$111.7 million
5 Year Trend
+49.6%
Revenue
$987.5 million
NASDAQ

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