Junior AI Applications Engineer

Job Purpose

Are you an AI/GenAI engineer who loves shipping real systems? Join Stanford University’s Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you’ll work hands-on to implement LLM/RAG services, integrate with enterprise platforms such as ServiceNow, Salesforce, and Oracle Financials, and follow strong MLOps/SDLC practices. You’ll prototype, harden, and ship features while working closely with product, security, infrastructure, and application teams.

Core Duties

This applied engineering role involves turning requirements into engineered components, building LLM-based agents, configuring RAG workflows, and contributing to robust MLOps and SDLC practices. Responsibilities include:

• Developing AI/ML systems and integrating enterprise tools.
• Building and maintaining agentic applications and internal SDKs.
• Configuring and optimizing RAG workflows and vector searches.
• Implementing CI/CD, tests, telemetry, and versioning practices.
• Ensuring security, governance, and compliance in all systems.
• Documenting technical decisions and supporting UAT/test activities.
• Collaborating with product, security, infrastructure, and application teams.

Required Knowledge, Skills, And Abilities

Candidates should have agent/agentic framework experience, proven delivery of AI/ML projects, strong programming proficiency in Python (and familiarity with Node.js/TypeScript/React), and experience with vector/search technology and cloud AI stacks. A deep understanding of SDLC, MLOps, and governance is essential, along with excellent communication and troubleshooting skills.

Desired Skills & Certifications

Experience in MLOps tooling, open source contributions, rapid tech adoption, GenAI frameworks, and security/guardrails frameworks is a plus. Certifications from Google, AWS, or Azure and a demonstrable portfolio are also beneficial.

Work Environment & Compensation

This full-time role at Stanford University offers a competitive salary ranging from $113,148 to $137,516 per annum, along with a comprehensive benefits package. The role requires on-site work at the new Stanford Redwood City campus, with extended hours possible.

Key skills/competency

AI, GenAI, LLM, MLOps, Integration, SDLC, Python, Vector, APIs, Governance