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.If you have a disability and need an accommodation in relation to the recruiting process, please email us at: [email protected].
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.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Skills Required
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field, or equivalent combination of education and experience.
- Early experience in software engineering, data science, automation, or related technical work via internships, academic projects, research, open-source contributions, hackathons, or personal portfolio.
- Portfolio, GitHub repository, class project, internship deliverable, or capstone project demonstrating coding, automation, AI, data, or problem-solving skills.
- Foundational programming ability in Python, JavaScript/TypeScript, Java, or a similar language.
- 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.
- Ability to learn and apply approved AI-assisted development tools (e.g., coding copilots, agentic coding tools) responsibly under senior review.
- Clear written and verbal communication skills and ability to 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.
- Basic familiarity with cloud platforms, databases, REST APIs, notebooks, or data tools.
Exelixis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Exelixis and has not been reviewed or approved by Exelixis.
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Retirement Support — Retirement plans are highlighted as a strength, featuring a 401(k) with generous company contributions and immediate vesting. This emphasis signals strong long‑term financial support within the total rewards package.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, with multiple medical plan options (HDHP with HSA, EPO, and Kaiser HMO in CA) and employer HSA contributions in 2026. Posted plan documents and contribution details indicate structured support for managing care and costs.
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Parental & Family Support — Family support is robust, including fully paid parental leave, caregiver leave, and expanded fertility benefits. Additional elements such as grandparent leave and backup care broaden assistance across life stages.
Exelixis Insights
What We Do
Every Exelixis employee is united in an ambitious cause: to launch innovative medicines that give patients and their families hope for the future. In this pursuit, we know our employees are our most valuable asset. After operating in the challenging biotech sector for more than 25 years, we have a proven track record of resiliency in the face of adversity. The success of our lead product has provided a solid commercial foundation allowing us to reinvigorate our research efforts, and grow our team in areas such as Drug Discovery, Clinical Development and Commercial. As we expand our global partnerships and further reinvest in R&D to help us discover the next breakthrough for difficult-to-treat cancers, we’re seeking to add talented, dedicated employees to power our mission. Cancer is our cause. Make it yours, too. Please see our Community Guidelines: bit.ly/2XXw9w3 For more information about Exelixis, please visit www.exelixis.com, follow @ExelixisInc on Twitter or like Exelixis, Inc. on Facebook.






