Associate Engineer - AI and Agentic
$103,000–$145,000 year
On-siteAlameda, California, United States
Job Summary
Build foundational AI-enabled prototypes, internal tools, and workflow automations by translating requirements into software components, scripts, prompts, and configuration changes. Support prompt engineering, basic agent workflows, retrieval-assisted use cases, and API integrations while using approved AI-assisted development tools to prototype, document, and improve code. Write and execute basic unit tests, validation checks, and troubleshooting steps to confirm expected behavior, maintaining clear documentation including setup notes, design summaries, and operational runbooks. Participate in code reviews, demos, testing sessions, and backlog discussions while adhering to company policies for data privacy, information security, and responsible AI standards.
Required Qualifications
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field; or Equivalent combination of education and experience
- 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
Desired Qualifications
- Basic familiarity with cloud platforms, databases, REST APIs, notebooks, or data tools is preferred
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