Applied AI Engineer

Posted Oct 30

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and implement core AI reasoning systems and agentic workflows to address complex regulatory, financial, and spatial challenges.

• Develop multimodal intelligence pipelines on Modal utilizing OCR and VLMs.

• Extract essential data from scanned leases, permits, and engineering schematics.

• Incorporate validation and evaluation frameworks into high-stakes workflows.

• Oversee AI-driven features from inception to completion, including models, backend workflows, and customer-facing interfaces.

• Collaborate with the initial AI team on model strategies, agentic systems, data architecture, foundational pipelines, and product direction and execution.


⛳️ Requirements

• Proven experience in deploying production-grade LLM systems.

• Extensive expertise in agentic orchestration, including multi-step planning, tool-use loops, and self-correction.

• Proficient in Python at an expert level.

• Comprehensive experience in connecting AI workflows to APIs, databases, and user-facing interfaces as a full-stack product.

• Ability to transform messy, unstructured legal, financial, spatial, and conversational data into structured insights.

• Strong emphasis on observability, evaluation, reliability, and understanding non-deterministic system failures.

• Excellent communication skills with the capability to work independently within a small, fast-paced founding team.

• Experience with geospatial data, GIS tools, or mapping libraries is an advantage.

• Familiarity with adapting or fine-tuning open-source vision or language models is a plus.

• Background in document-heavy domains or high-stakes financial/legal data is beneficial.

• Knowledge of Modal, GPU-backed inference, or serving infrastructures like vLLM is a bonus.

• Experience in developing user-facing products using React and TypeScript is a bonus.


🏝️ Benefits

• Meaningful founding equity.

• Fully remote work with colleagues across the US.

• Regular in-person interactions with the team when appropriate.

• Flexible work schedules.

• Unlimited PTO with a minimum of two weeks.

• Strong focus on sustainability.

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