Senior Forward Deployed AI Engineer: Field & Platform

Afresh Technologies, Inc.; San Francisco (CA); Hybrid; USD 156,060 - 231,140; Full time

Benefits offered by this job

Health insurance

Equity

401(k)

Home office stipend

Coworking wallets

Professional development budget

Flexible PTO

Job summary

Afresh Technologies, Inc. is seeking a Forward Deployed AI Engineer in a hybrid San Francisco role.

You’ll split time between embedding with grocery customers and extending Afresh’s platform, delivering production-grade AI systems on real data and turning field learnings into reusable platform components. You’ll work with customers to scope data sources and architectures, deploy end-to-end pipelines, and ship reliable agent-powered solutions at scale while maintaining a hands-on, senior

Qualifications

• 3+ years building production software and data systems
• Architectural vs. hands-on mindset for messy data and customer needs
• Experience with LLMs, retrieval, and agent frameworks
• Hands-on data engineering across modern cloud data platforms
• Ability to travel to customer sites ~10–20%

Responsibilities

• In the field, scope and architect work with customer teams and data sources
• Embed with customer data and build production-grade pipelines
• Design and ship LLM- and agent-powered systems on enterprise data
• Harden field work into shared platform with robust knowledge graphs and retrieval
• Build evaluations, tracing, and tooling for quality, latency, and cost

Skills

Production-grade code

AI/LLM depth

Data pipelines

Cloud platforms

Cross-functional collaboration

Tools

Databricks

BigQuery

Snowflake

Job description

Afresh Technologies, Inc. is seeking a Forward Deployed AI Engineer in a hybrid San Francisco role.

You’ll split time between embedding with grocery customers and extending Afresh’s platform, delivering production-grade AI systems on real data and turning field learnings into reusable platform components. You’ll work with customers to scope data sources and architectures, deploy end-to-end pipelines, and ship reliable agent-powered solutions at scale while maintaining a hands-on, senior