Associate Engineer- AI and Agentics

## 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.Required Knowledge, Skills and Abilities - 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 No travel is expected of this position.