AI Applications Engineer

Andrew & Brothers, Inc.; San Francisco (CA); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Cash compensation

Equity

Job summary

Andrew & Brothers, Inc. in San Francisco, CA seeks a seasoned engineer to partner with internal stakeholders to design and deploy end-to-end AI solutions that deliver measurable business impact.

You will establish evaluation patterns and create reusable components to scale AI delivery across the organization, with a focus on LLM orchestration, data pipelines, and CRM/HRIS integrations. A 4–8 year track record in software or data engineering is required, along with a strong emphasis on security,

Qualifications

• Requires 4-8 years of experience in software or data engineering with a proven track record of building production-ready AI applications.
• Candidates must be proficient in LLM orchestration, data pipelines, and integrating enterprise tools like CRM and HRIS.

Responsibilities

• Design and deploy end-to-end AI solutions that drive measurable business impact.
• Establish evaluation patterns and create reusable components to scale AI delivery across the organization.

Skills

Software Engineering

Data Engineering

LLMs

Classical ML

Prompt Engineering

Tool Orchestration

Retrieval

API Integration

Data Pipelines

Observability

Monitoring

Incident Response

AI Evaluation

Security and Privacy

Governance

Tools

CRM integration

HRIS integration

Job description

The role involves partnering with internal stakeholders to design and deploy end-to-end AI solutions that drive measurable business impact. You will also establish evaluation patterns and create reusable components to scale AI delivery across the organization.

Requirements

Requires 4-8 years of experience in software or data engineering with a proven track record of building production-ready AI applications. Candidates must be proficient in LLM orchestration, data pipelines, and integrating enterprise tools like CRM and HRIS.

Key Skills

• Software Engineering
• Data Engineering
• LLMs
• Classical ML
• Prompt Engineering
• Tool Orchestration
• Retrieval
• API Integration
• Data Pipelines
• Observability
• Monitoring
• Incident Response
• AI Evaluation
• Security and Privacy
• Governance

Benefits

• Cash compensation
• Equity