---
title: 'Software Engineer, AI/ML at Glue'
canonical: 'https://feeny.ai/job/software-engineer-ai-ml-glue-san-francisco-mk1796kfmaxb'
type: 'job'
last_seen: '2026-09-08'
---

# Software Engineer, AI/ML at Glue

- **Company:** Glue
- **Location:** San Francisco, CA
- **Work type:** onsite
- **Posted:** 2025-04-22
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/gluegroups/4a02a1c4-0eae-4cee-9994-7977421a8c2f

## Job description

## About Glue

Glue is not just another team chat app. We're building the first platform for agentic team chat—a workspace where AI agents and humans collaborate as peers. Our platform supports leading AI models (GPT-5, Claude, Gemini, and open-source alternatives) and integrates with thousands of apps through the Model Context Protocol (MCP), enabling teams to direct actions across their entire tech stack without leaving chat.

We recently raised $20M in Series A funding. Co-founded by David Sacks and Evan Owen, Glue is redefining how teams communicate and get work done in the AI era.

Opportunity

We’re looking for an AI/ML Engineer with a strong foundation in large language models (LLMs) and retrieval-augmented generation (RAG) to help us build smart, useful, and scalable AI features. You’ll work across the stack—from prototyping prompts and pipelines to shipping production systems—and play a key role in evaluating model performance and behavior. You'll collaborate across engineering, product, and design to ship experiences that feel magical—but are grounded in robust infrastructure and measurable outcomes.

## About You

- Have shipped across the stack to production—from data ingestion and model integration to serving and monitoring—and understand what it takes to build resilient ML-powered features.
- Have dealt with issues like latency, cost, edge cases, and prompt brittleness, and you’ve built systems that people rely on
- Understand the nuances of RAG systems, including text chunking, hybrid retrieval (semantic + keyword), vector store tuning, and relevance optimization.
- A self-starter, a builder, a doer. You know how to architect a project the “right way”, but also know when to ask about requirements and make tradeoffs depending on the maturity of the project
- Care about details but know when to avoid getting lost in the weeds and prioritize the immediate outcomes needed.
- Want to be part of a scrappy, early team who is building something ambitious and exciting.

What will help you succeed

- 5+ years of engineering experience, ideally including ML, NLP, or applied AI experience
- 2+ years hands-on with LLMs, transformers, and production-grade generative AI systems
- 2+ years of experience with a server-side language such as Go, TypeScript, Python, etc.
- Experience building RAG systems using frameworks like LangChain, LlamaIndex, or custom stacks
- Experience with multi-modal inputs, fine-tuning open models, or orchestrating agent-style systems
- Familiarity with evaluation techniques, tooling (e.g., Braintrust, Promptfoo, etc.) and quality metrics
- Independent and self motivated—maintaining side projects or libraries a major plus

## Benefits

We offer a competitive salary in addition to significant equity, a generous healthcare package, and whatever equipment you need to excel at your job. Flexible vacation policy—we’re moving quickly but want a sustainable culture. This role is based in our San Francisco headquarters.

Glue is committed to providing equal employment opportunities for all applicants and employees. Glue doesn’t discriminate on the basis of any protected characteristic, including race, color, ancestry, national origin, religion, creed, age, disability, sex, gender, sexual orientation, gender identity, gender expression, medical condition, genetic information, family care or medical leave status, marital status, domestic partner status, military and veteran status, or any other characteristic protected by US federal, state or local laws, or the laws of the country or jurisdiction where you work.

## About Glue

## Company Overview
- **One-liner**: Glue is building the first platform for agentic team chat, where AI agents and humans collaborate as peers to turn talk into action.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2021
- **Founders**: David Sacks, Evan Owen

## Core Business
- Primary industry/industries: Team collaboration software, AI-assisted productivity tools
- Target customers: B2B teams (engineering, product, and operations teams)
- Mission or purpose statement: “Make it easy to share the right information with the right people, both inside and outside of your team. Say goodbye to workspace switching, channel fatigue, noisy notifications, and complex setup.”

## Products & Services
- **[Glue Platform]**: An AI-assisted chat platform that uses structured threads, integrates with thousands of apps via the Model Context Protocol (MCP), and supports leading AI models (GPT-5, Claude, Gemini, open-source alternatives). Type: SaaS.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total funding – $20M Series A (recently raised)
- **Notable Investors/Partners**: Co-founded by David Sacks (also likely an investor); integrations include Cursor, Jira, and thousands of apps via MCP.
- **Growth Signals**: 12 employees, monthly website visits ~21,380 (+2.1% monthly, +434.5% yearly), active hiring for AI/ML and backend engineers, and recent product launches (Glue x Cursor, App Events for Jira).

## Competitive Advantages
- First-to-market with a dedicated “agentic team chat” platform where AI agents work as peers alongside humans.
- Deep integrations via the Model Context Protocol (MCP) allow teams to direct actions across their entire tech stack without leaving chat.
- Supports multiple leading AI models (GPT-5, Claude, Gemini) and open-source alternatives, giving teams flexibility.

## Strategic Focus
- Preparing the product for launch (currently in early stage), with daily shipping and experimentation.
- Building robust AI features (RAG, multi-modal inputs, fine-tuning) and scaling backend infrastructure.
- Expanding integrations and developer platform capabilities.

## Why Work Here
- Early-stage startup with significant equity, competitive base salary ($180k–$220k for backend engineers), and generous healthcare.
- Flexible vacation policy and a “scrappy, early team” culture where engineers make early decisions and set direction.
- Based in San Francisco headquarters (on-site roles); small team of ~12 with a focus on sustainability and fast iteration.
- Opportunity to work on cutting-edge AI/ML systems in production, from data ingestion to model serving.

## Sources
1. [LinkedIn - Glue](https://linkedin.com/company/glueai)
2. [Lever - Software Engineer, AI/ML](https://jobs.lever.co/gluegroups/4a02a1c4-0eae-4cee-9994-7977421a8c2f)
3. [Lever - Software Engineer, Backend](https://jobs.lever.co/gluegroups/357a840b-e0eb-47ff-97f9-1d7161bbb399)
4. [The Org - Glue](https://theorg.com/org/gluegroups)

## Other roles at Glue

- [General Interest](https://feeny.ai/job/general-interest-glue-san-francisco-ey2dz1fgqeb9) — San Francisco, CA
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- [Software Engineer, Backend](https://feeny.ai/job/software-engineer-backend-glue-san-francisco-jbnkqe4h8ag3) — San Francisco, CA
- [Software Engineer, AI/ML](https://feeny.ai/job/software-engineer-ai-ml-tabs-new-york-7cc92teeja6p) — New York, NY
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