Associate Engineer - AI and Agentic
Exelixis
August 13, 2026
On-site
Alameda, CA
IT
Summary/Job Purpose
The Associate Engineer - AI and Agentics builds 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 AI-enabled prototypes, internal tools, and workflow automations.
- Translate requirements into 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 (e.g., coding copilots/agentic coding tools) with appropriate review.
- Write and execute unit tests, validation checks, and troubleshooting steps.
- Maintain clear documentation (setup notes, design summaries, prompt/spec notes, user instructions, operational runbooks).
- Participate in code reviews, demos, testing sessions, backlog discussions, and team learning activities.
- Follow policies for data privacy, information security, access control, compliance, and responsible use of AI.
Education/Experience
- Bachelor’s degree in CS/AI/Data Science/Software Engineering or related field; or equivalent education and experience.
- Early experience via internships, academic projects, research, open-source, hackathons, or portfolio; plus a portfolio/GitHub/class or capstone project demonstrating coding/automation/AI/data/problem-solving.
Required Skills/Abilities
- Foundational programming in Python, JavaScript/TypeScript, Java, or similar.
- Basic software development fundamentals: data structures, APIs, Git, debugging, testing, documentation.
- Intro knowledge of AI/ML/generative AI/LLMs/prompt engineering/data science.
- Ability to learn and apply AI-assisted tools responsibly with review.
- Strong communication; can document decisions and collaborate.
- Apply responsible AI, data privacy, information security, and ethical practices.
Preferred
- Basic familiarity with cloud platforms, databases, REST APIs, notebooks, or data tools.
Supervisory Responsibilities
- None.
Travel Requirements
- 0%.
The Associate Engineer - AI and Agentics builds 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 AI-enabled prototypes, internal tools, and workflow automations.
- Translate requirements into 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 (e.g., coding copilots/agentic coding tools) with appropriate review.
- Write and execute unit tests, validation checks, and troubleshooting steps.
- Maintain clear documentation (setup notes, design summaries, prompt/spec notes, user instructions, operational runbooks).
- Participate in code reviews, demos, testing sessions, backlog discussions, and team learning activities.
- Follow policies for data privacy, information security, access control, compliance, and responsible use of AI.
Education/Experience
- Bachelor’s degree in CS/AI/Data Science/Software Engineering or related field; or equivalent education and experience.
- Early experience via internships, academic projects, research, open-source, hackathons, or portfolio; plus a portfolio/GitHub/class or capstone project demonstrating coding/automation/AI/data/problem-solving.
Required Skills/Abilities
- Foundational programming in Python, JavaScript/TypeScript, Java, or similar.
- Basic software development fundamentals: data structures, APIs, Git, debugging, testing, documentation.
- Intro knowledge of AI/ML/generative AI/LLMs/prompt engineering/data science.
- Ability to learn and apply AI-assisted tools responsibly with review.
- Strong communication; can document decisions and collaborate.
- Apply responsible AI, data privacy, information security, and ethical practices.
Preferred
- Basic familiarity with cloud platforms, databases, REST APIs, notebooks, or data tools.
Supervisory Responsibilities
- None.
Travel Requirements
- 0%.