---
title: 'Founding AI Research Lead - Agentic AI Lab at Fabrion'
canonical: 'https://feeny.ai/job/founding-ai-research-lead-agentic-ai-lab-fabrion-san-francisco-c251tdtjjvrw'
type: 'job'
last_seen: '2026-09-08'
---

# Founding AI Research Lead - Agentic AI Lab at Fabrion

- **Company:** Fabrion
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-06
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/fabrion/69051a5b-0368-4640-8e9e-1a09a5b233a2

## Job description

Founding AI Research Lead - Agentic AI Lab

San Francisco Bay Area | Full time

Backed by 8VC, we are building a world-class team to tackle one of industry's most critical problems: trusted AI for enterprise operations.

## About the Role

Fabrion is designing the future of enterprise AI infrastructure, grounded in agents, knowledge graphs, and multi-tenant governance. We are working on research inside the Agentic AI Lab to train and evaluate specialized models for mission-critical enterprise work.

The direction is specific and ambitious. We share the full thesis under NDA during the interview process. What we can say here: the program has committed design partners with production data access, dedicated compute, a benchmark-first plan with clear go and no-go gates, and a platform team that has already built the governance and serving layer your models will run behind.

This is full-cycle research: problem formulation, data, training, evaluation, and deployment, with your name on the results.

Core Responsibilities

- Own the research agenda: model and training design, evaluation protocol, and the publication plan
- Take models from public benchmark results to live customer shadow deployments, with gates you define and defend
- Set the benchmark discipline: strong baselines first, published comparables cited, results that survive scrutiny
- Lead and grow a small team (ML engineer, data engineer, contractors) and pair closely with the founders and platform team
- Write technical plans internally and papers externally when results warrant it

Desired Experience

- Hands-on experience training sequence models, owning the tokenizer, the training loop, and the evaluation, not only fine-tuning through APIs
- Strong background in at least two of: reinforcement learning (especially offline and imitation settings), sequence decision modeling, structured or constrained generation, learning from event and log data
- A track record of shipping research into a product or landing a rigorous benchmark result
- PhD in machine learning or a closely related field, or an equivalent research record
- Preferred Tech Stack
- PyTorch, the Hugging Face ecosystem, experiment tracking and reproducible training pipelines, modern cloud data warehouses, evaluation harness engineering

Soft Skills & Mindset

- Comfortable as the most senior researcher in the room: setting direction under ambiguity and writing decisions down
- Rigor over hype: you distrust your own results until the baselines agree
- A teacher's instinct: part of this role is turning strong engineers into researchers

## Why This Role Matters

We believe specialized models built on governed enterprise data can run real, multi-billion-dollar workflows. Your work will not be buried in research reports. It will be benchmarked in public, deployed to real customers, and activated by hundreds of thousands of decisions.

## About Fabrion

## Company Overview
- **One-liner**: Fabrion is an AI-native platform and operating system that provides a real-time intelligence layer for industrial manufacturers, transforming complex value chains with agentic AI, knowledge graphs, and data fabrics.
- **Entity Type**: Private – Seed stage (Seed round with one investor)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2025
- **Founders**: Roy Ng (CEO), Kunal B. (CTO & CPO), Christian V. Jordan, Jake Medwell (Board Member) – experienced operators from AWS, Meta, SAP, and Twilio.

## Core Business
- **Primary industries**: Industrial manufacturing, supply chain, enterprise AI
- **Target customers**: B2B – Enterprise industrial manufacturers, OEMs, and tier suppliers
- **Mission/purpose**: “AI will be the operating system for the next industrial era” – building autonomous, governed AI systems that let teams see, decide, and act on complex manufacturing and supply chain data

## Products & Services
- **Fabrion Platform**: An AI-native operating system that ingests, normalizes, and acts on messy, fragmented industrial data. Uses LLMs, knowledge graphs, vector databases, and agentic systems to deliver real-time intelligence.
- **Fabrion AI Lab**: A full-stack vertical AI research platform focused on:
  - Data fabric for AI (metadata-driven cleanse/correlate/stream)
  - Governance-by-design (observable, reversible, compliant AI)
  - Context memory management (short/long-term recall for agents)
  - Industry knowledge graphs (internal data + external signals)
  - Agent mesh architectures (distributed, goal-conditioned agents)
  - Hybrid & multi-cloud infrastructure
  - Custom fine-tuned models (RAG, SLMs, RLHIL, pre-trained enterprise data)

## Market Standing
- **Valuation**: Not disclosed
- **Key metric**: Seed funding round (amount not publicly stated); 1 investor identified (8VC is prominently featured as a partner)
- **Notable investors/partners**: 8VC (lead through “8VC Build” program); partnering with leading OEMs and forward-thinking industrial companies
- **Growth signals**:
  - Workforce of ~7 employees (all founding/early team) with **9 open job postings** across engineering, research, and business development
  - Web traffic growth: +115.2% monthly (4,264 monthly visits)
  - LinkedIn followers: 343 (+7.5% monthly)
  - Founding team has scaled products from zero to hundreds of millions in revenue at previous companies

## Competitive Advantages
- **AI-native from day one** – not a thin wrapper on foundation models; built as a full-stack vertical AI research platform
- **Deep industry partnerships** with OEMs and industrial companies actively modernizing
- **Proven founding team** with experience at AWS, Meta, SAP, and Twilio – domain expertise in manufacturing, logistics, Big Data, SaaS, and enterprise
- **Focus on governance and compliance** – every AI action is explainable, reversible, and measurable, a critical differentiator for regulated industrial environments
- **Knowledge graph + agent mesh approach** – moves beyond static dashboards to autonomous, semi-autonomous agents

## Strategic Focus
- Build autonomous or semi-autonomous AI agents for manufacturing supply chains (self-healing, rebalancing)
- Embed compliance and governance as first-class citizens in the AI stack
- Advance research in data fabrics, context memory, and custom fine-tuned models for industrial verticals
- Expand agentic capabilities from simulation to real-world production environments

## Why Work Here
- **Culture**: “High EQ, low ego, no assholes”; owners not renters; first-principles thinking; win with customer outcomes; score points, not yardage
- **Work modality**: Hybrid – jobs are listed as “In-Office or Remote” with multiple locations (HQ at Pier 5, The Embarcadero, San Francisco; also remote options)
- **Technical stack**: Kubernetes, Keycloak, Python, SQL, Docker, GraphQL, React, TypeScript, Terraform, Snowflake, Neo4j, OpenAI, MLflow, Grafana, Prometheus – cutting-edge AI/ML infrastructure
- **Impact**: Solving mission-critical problems in global trade and manufacturing – value chains representing billions of dollars; opportunity to define a new industrial AI paradigm
- **Team**: Small founding team with deep experience; opportunity to work across engineering, research, and product from the ground up

## Sources
1. [fabrion.com/careers](https://www.fabrion.com/careers)
2. [builtin.com](https://builtin.com/company/fabrion)
3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/fabrion)
4. [linkedin.com](https://www.linkedin.com/company/fabrionai)
5. [fabrion.com/ai-lab](https://www.fabrion.com/ai-lab)

## Other roles at Fabrion

- [Founding Designer](https://feeny.ai/job/founding-designer-fabrion-san-francisco-zww16cz5wbwb) — San Francisco, CA
- [Data Partnerships Analyst](https://feeny.ai/job/data-partnerships-analyst-fabrion-san-francisco-2h67mf9ssa3z) — San Francisco, CA
- [Business Development Analyst – Auto](https://feeny.ai/job/business-development-analyst-auto-fabrion-san-francisco-4agd1wrm1x3z) — San Francisco, CA
- [ML/AI Research Engineer — Agentic AI Lab (Founding Team)](https://feeny.ai/job/ml-ai-research-engineer-agentic-ai-lab-founding-team-fabrion-san-francisco-m7ry3fmyn2rd) — San Francisco, CA
- [DevOps Engineer (Founding Team)](https://feeny.ai/job/devops-engineer-founding-team-fabrion-san-francisco-rhgsyhr9s3kx) — San Francisco, CA
- [Frontend Engineer (Founding Team)](https://feeny.ai/job/frontend-engineer-founding-team-fabrion-san-francisco-p4nbwzbq1kgq) — San Francisco, CA
- [Data Engineer (Founding Team)](https://feeny.ai/job/data-engineer-founding-team-fabrion-san-francisco-33hf28h6rgc7) — San Francisco, CA
- [ML Ops Engineer — Agentic AI Lab (Founding Team)](https://feeny.ai/job/ml-ops-engineer-agentic-ai-lab-founding-team-fabrion-san-francisco-na47hpj9nvs7) — San Francisco, CA
- [Founding Engineer](https://feeny.ai/job/founding-engineer-fabrion-san-francisco-50vz9w20z840) — San Francisco, CA