Founding AI Engineer

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.

• Extracting data from varied sources
• Interpreting and mapping it into structured schemas
• Reconciling inconsistencies
• Validating correctness
• Indexing for retrieval and grounding

Responsibilities

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.

• Prototype quickly, iterate with real customer inputs
• Debug ambiguous failures
• Harden the systems so they scale with product complexity

Requirements

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.

Qualifications

• Experience with data modeling and extraction from various sources
• Strong understanding of data structures and databases
• Proficiency in Python, SQL, and other relevant programming languages
• Experience with large-scale data processing and machine learning
• Ability to work collaboratively with cross-functional teams

Skills

• Data modeling and extraction
• Large-scale data processing
• Machine learning
• Collaboration and communication skills

Pay

$170K - $260K

Schedule

Full-time