Time since we first saw it
Day 212
Up longer than most. Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
Software Engineer, AI/ML
San Francisco, CA
Open 7 months, first seen by us 212 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingPrototype prompts and pipelines, then ship them to production
Evaluate model performance and behavior
Build data ingestion, model integration, serving and monitoring for ML features
Work with engineering, product and design to ship user-facing AI experiences
From the employer’s posting
from prototyping prompts and pipelines to shipping production systems
play a key role in evaluating model performance and behavior
from data ingestion and model integration to serving and monitoring
You'll collaborate across engineering, product, and design to ship experiences that feel magical
What you’ll bring
All qualificationsCore experience
- 5+ years of engineering experience, ideally with ML, NLP or applied AI
- 2+ years hands-on with LLMs, transformers and production generative AI
- 2+ years with a server-side language such as Go, TypeScript or Python
- Experience building RAG systems with LangChain, LlamaIndex or custom stacks
Qualification wording
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
Benefits in the posting
Full benefits wording- We offer a competitive salary in addition to significant equity, a generous healthcare package, and whatever equipment you need to excel at your job.
- 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.
From the employer’s posting.
About Gluegroups
We're building the first platform for agentic team chat—a workspace where AI agents and humans collaborate as peers.
In the employer’s words · Read in context
Posting record
Report an errorOpen 7 monthsWe first saw this posting 212 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 15, 2026212 days ago
- Recorded sightings
- 55
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Apr 22, 2025
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Gluegroups is hiring
1 open job
- No new data jobs since April
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- TypeScript
- Go
Where the posting names them
- 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
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Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Francisco, CA
- 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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.