Senior AI Platform Engineer

TL;DR

Senior AI Platform Engineer (AI Platform): Build the AI and data platform that turns raw grocery data into trusted context for LLMs, including the knowledge & retrieval layer, agent systems, and evaluation/serving infrastructure. Focus on foundational 0-to-1 platform choices for knowledge representation, reliable grounding, and measurable quality under production constraints.

Location: Hybrid (San Francisco office, 2 days/week). This position is not eligible for company sponsorship.

Salary: $156,060 - $231,140 (U.S.)

Company

hirify.global builds an AI platform for grocery that helps grocers reduce food waste and make smarter enterprise decisions.

What you will do

• Design and operate the knowledge graph/ontology and the retrieval systems (vector, graph, structured) that provide reliable grounding for models.
• Build and serve LLM-powered agent systems (tool-use, multi-step reasoning, orchestration) with infrastructure to run them reliably and cost-effectively.
• Own evaluation, quality, and the data foundation: create eval sets, LLM-as-judge harnesses, tracing/observability, and metrics (faithfulness, accuracy, hallucination rate, latency, cost).
• Build pipelines, data products, and experimentation on Databricks/MLflow to move from prototype to production and harden reusable capabilities.

Requirements

• 3+ years building production software, data, or ML systems; strong systems and API design (Python).
• Hands-on production experience with LLM systems: retrieval/RAG, agents and tool-use, prompt/context engineering, and evaluation (measure quality, don’t eyeball it).
• Solid data-engineering/data-platform foundations: pipelines, data modeling, and modern cloud data stack (Databricks/Spark, MLflow, cloud warehouses).
• Comfort handling the “messy middle” of AI systems: retrieval quality, latency/cost trade-offs, and non-determinism; build guardrails and evals for trustworthiness.
• Platform mindset: build for leverage with clean interfaces and thrive in ambiguity.

Culture & Benefits

• Hybrid work with 2 days/week in the San Francisco office; flexible work from home or local office support.
• Comprehensive medical, dental, and vision coverage (majority of premiums covered), plus mental health support.
• 401(k) program with generous company match and meaningful equity for U.S. employees.
• Home office stipend and “Coworking Wallets” for flexible workspace access.
• Annual professional development budget and monthly stipends for wellness/lifestyle (“Betterment”) and telecommunications.
• Flexible paid time off to recharge.

Hiring process

• Interview process includes technical evaluation focused on production systems, LLM/agent engineering, and evaluation/quality practices.
• Final steps assess platform thinking and ability to work in ambiguity.