AI & Data Engineer

Mercator; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Comprehensive health, dental, and vision insurance

Team-building retreats in fun destinations

Job summary

A leading AI technology firm in San Francisco is seeking an AI/Data Systems Engineer to build critical data pipelines that transform unstructured inputs into structured outputs. This role involves ensuring the accuracy and reliability of data that supports simulations and customer features. Applicants should have experience with data transformation and ingestion, as well as familiarity with APIs and LLM workflows. The company offers comprehensive health benefits and unique team-building retreats in appealing destinations.

Qualifications

• Experience with building data pipelines and transforming unstructured data.
• Familiarity with LLMs and systems design.
• Ability to work with APIs and data contracts.

Responsibilities

• Build core pipelines that transform messy inputs into reliable data.
• Partner with engineers to define data contracts and build APIs.
• Ensure data integrity for simulations and customer-facing features.

Skills

Data transformation

Data ingestion

Data validation

API development

LLM-driven reasoning workflows

Tools

RAG pipelines

LLM workflows

APIs

Job description

Company Description

Mercator is building AI agents that coordinate global supply chains. Today’s systems leak $1.7T in waste each year in retail alone -- in overproduction, lost revenue, and unnecessary emissions.

Mercator’s founders are seasoned technical operators with a decade of experience leading cutting-edge AI and simulation efforts across Google (Gemini, Tensorflow, Google X).

Role Description

As Mercator’s first AI/Data Systems engineer, you’ll build the core pipelines that transform messy, unstructured inputs into clean, structured, reliable data that powers our entire product. This is one of the most business-critical roles at the company: every simulation, every feature, and every customer decision relies on the accuracy and intelligence of the systems you build.

You’ll own end-to-end ingestion and reasoning: extracting data from varied sources, interpreting and mapping it into structured schemas, reconciling inconsistencies, validating correctness, and indexing it for retrieval and grounding. You’ll design LLM-driven reasoning workflows, build RAG pipelines, and architect the gold-standard data store that becomes the trusted source for everything downstream.

You’ll partner closely with our product and application engineers to define data contracts, build APIs, and ensure that simulation and customer-facing features are backed by data that is consistent, explainable, and production-grade. You’ll prototype quickly, iterate with real customer inputs, debug ambiguous failures, and harden the systems so they scale with product complexity.

This role sits at the intersection of LLMs, retrieval, data modeling, and systems design; the pipelines you build will define what the product can understand, simulate, and ultimately deliver for customers.

Benefits

• Comprehensive health, dental, and vision insurance
• As a company we’ll work from a fun destination (think: skiing, surfing) two weeks a year

---

Applicants must have valid U.S. work authorization. We are able to support H-1B transfers but are not initiating new visa sponsorships at this time.