Associate Engineer - AI and Agentic

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.

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.

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