Applied AI Engineer

Vor Systems, Inc.; San Francisco (CA); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Founding equity

Fully remote

In-person time as needed

Unlimited PTO with minimum of two days

Job summary

Vor Systems, Inc. is building AI-powered software to accelerate capital deployment and project development in renewable energy. You will join an early AI team to design and implement core reasoning systems and agentic workflows that plan, execute, and verify complex analyses, with emphasis on correctness and reliability.

This role is fully remote across the US, with optional in-person time as needed. We value ownership, strong Python/full-stack skills, and the ability to turn messy data into

Qualifications

• Production-grade LLM systems with agentic orchestration
• Python expert with full-stack experience
• Able to turn messy data into structured, usable insights
• Reliability-focused with observability and failure analysis

Responsibilities

• Architect the core AI reasoning system and agentic workflows that plan, execute, and verify complex regulatory, financial, and spatial analyses.
• Build multimodal intelligence pipelines on Modal to uncover critical information in messy sources like scanned leases, permits, and engineering schematics.
• Integrate rigorous validation and evaluation frameworks into high-stakes workflows where correctness and reliability are paramount.
• Own AI-powered features end to end, from models and backend workflows to the interfaces customers use to review results and take action.

Job description

Who we are

Vor Systems is building software to help accelerate capital deployment & project development for renewable energy. We help developers, asset owners, investors, and other stakeholders make better decisions, move faster, and cut costs to improve financial returns.

To reach our climate goals, the world needs to build at an unprecedented scale, but too much time and capital are trapped in the manual "soft costs" that keep renewable projects in limbo. We are eliminating this friction with AI-native workflows that help developers deploy assets and capital faster, providing the digital infrastructure necessary to modernize the grid and bring the physical world into an age of abundance.

We are a pre-seed, Gigascale Capital-backed company with paying customers. We’re a small, ambitious team bringing together deep experience in AI, software, and energy.

Victor, John, and Guillaume have proven track records in founding companies Cozy, Greenify and scaling global platforms DoorDash, Meta, Amazon.

Help us build the software that powers the global energy transition.

How we work

We operate in a domain where correctness matters. Our customers trust us with sensitive financial, legal, and infrastructure data, and “mostly right” is not good enough.

Our AI systems combine probabilistic model outputs with deterministic software. That means we spend a lot of time thinking about system boundaries, validation, evaluation, and failure modes, not just model quality.

You will join our early AI team, working closely with the team on model strategy & agentic systems, data architecture & foundational pipelines, and product direction & execution.

What you’ll work on

You will architect the core AI reasoning system and agentic workflows that plan, execute, and verify complex regulatory, financial, and spatial analyses.

You will build multimodal intelligence pipelines on Modal (OCR/VLMs) to uncover critical information in messy sources like scanned leases, permits, and engineering schematics.

You will integrate rigorous validation and evaluation frameworks into high-stakes workflows where correctness and reliability are paramount.

You will own AI-powered features end to end, from models and backend workflows to the interfaces customers use to review results and take action.

Who you are

Ideally

• You have shipped production-grade LLM systems with deep experience in agentic orchestration, including multi-step planning, tool-use loops, and self-correction.
• You are a Python expert with full-stack product experience, comfortable connecting AI workflows to APIs, databases, and user-facing interfaces.
• You enjoy turning messy, unstructured data (legal, financial, spatial, and conversational) into structured, usable, and intuitive insights.
• You are reliability-obsessed and care deeply about observability, evaluation, and understanding how non-deterministic systems fail in the real world.
• You communicate clearly and thrive as an autonomous owner within a small, fast-moving founding team.

Bonus points

• Experience with geospatial data, GIS tools, or mapping libraries.
• Experience adapting or fine-tuning open-source vision or language models.
• Experience with document-heavy domains or high-stakes financial/legal data.
• Experience with Modal, GPU-backed inference, or serving infrastructure such as vLLM.
• Experience building user-facing products with React and TypeScript.

What we offer

• Competitive market-based compensation with meaningful founding equity.
• The opportunity to shape the AI systems, architecture, and company culture from day one.
• Fully remote work with teammates across the US.
• Regular in-person time with the team when it makes sense.
• Flexible schedules and unlimited PTO with a two-week minimum and an emphasis on sustainability (pun intended).