Production AI & Agentic Engineer II

Exelixis Inc

Alameda (CA)

On-site

USD 152,000 - 215,000

Full time

14 days+

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Benefits offered by this job

401k plan

Health coverage

Vision coverage

Life insurance

Disability insurance

FSA program

Annual bonuses

Stock purchase plan

Vacation days

Paid holidays

Sick days

Job summary

Exelixis Inc is seeking an Engineer II - AI and Agentic to design, build, and deploy production-grade agentic applications that automate multi-step IT and business workflows across the company. This role emphasizes secure, spec-driven AI solutions and reusable platform components.

You will integrate LLMs, prompts, tools, APIs, and enterprise data, implement CI/CD, drive observability, and contribute to architecture notes and runbooks while promoting secure-by-design practices and

Qualifications

Education Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field and 5 years of related experience; or Master’s degree...
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.

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.