AI and Agentic Engineer II

SUMMARY/JOB PURPOSE

The Engineer II - AI and Agentic is responsible for designing building and deploying production-grade agentic applications that automate multi-step IT and business workflows across Exelixis. This role delivers spec-driven testable and secure AI solutions contributes to platform patterns and reusable components while advancing the engineering standards.

ESSENTIAL DUTIES/RESPONSIBILITIES

• Design and deliver end-to-end agentic applications and multi-agent workflows that automate IT and business processes.
• Convert prototypes into hardened production-ready services with clear specifications modular design robust error handling and comprehensive test coverage.
• Integrate LLMs prompts tools APIs and enterprise data sources (e.g. Bedrock Databricks Mosaic AI MCP servers) into reliable use cases.
• Implement CI/CD pipelines automated evaluation harnesses observability and artifact versioning for AI/agent workloads.
• Author architecture notes runbooks SOPs and technical documentation to support adoption operability and maintainability.
• Lead prompt/spec reviews code reviews threat modeling exercises and release-readiness gates.
• Apply and evangelize secure-by-design and responsible AI principles including data governance privacy and safe prompting aligned to organizational policy
• Contribute reusable components patterns and internal libraries to the platform
• Partner with product managers security and platform teams to translate business needs into scalable technical solutions
• Performs other duties as assigned
• Complies with all policies and standards

SUPERVISORY RESPONSIBILITIES

• No supervisory responsibilities

EDUCATION/EXPERIENCE/KNOWLEDGE/SKILLS & ABILITIES

Education

• Bachelors degree in Computer Science Artificial Intelligence Data Science Software Engineering or a related field and 5 years of related experience; or
• Masters degree in Computer Science Artificial Intelligence Data Science Software Engineering or a related field and 3 year or related experience; or
• Equivalent combination of education and experience.

Experience

• 2 - 4 years of relevant experience in AI application data science automation or related technical work including hands-on experience building or contributing to LLM-enabled applications agentic workflows API integrations

Knowledge Skills and Abilities

Required:

• Intermediate to Advanced proficiency in Python and/or JavaScript/TypeScript including modular design testing and packaging.
• Intermediate proficiency with agent frameworks and agentic patterns: tool use planning/execution loops guardrails evaluation and prompt/version management.
• Intermediate proficiency building and consuming REST APIs and integrating enterprise systems with OAuth/JWT secrets management and secure data handling.
• Intermediate proficiency with CI/CD automated testing (unit/integration) linting and observability for AI applications.
• Intermediate understanding of security best practices architecture design principles and responsible AI/data governance.
• Intermediate communication skills written and verbal and demonstrated ability to collaborate with cross-functional stakeholders and mentor junior engineers.
• Intermediate experience with cloud AI platforms preferably AWS Cloud AWS Bedrock and Databricks Mosaic AI and vector stores or retrieval-augmented generation (RAG) patterns.
• Intermediate knowledge of AI-native engineering using Claude Code Codex GitHub Copilot or equivalent coding agents.

Preferred:

• Experience delivering evaluation frameworks red-teaming or LLM observability tooling.

Travel Requirements

• No travel is required for this position.

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If you have a disability and need an accommodation in relation to the recruiting process please email us at: .

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.