Senior Software Engineer - AI / ML

Glue is a well-funded startup working on the next generation of work communication tools. We believe that today’s work chat is noisy, unstructured, and not designed for productivity. We’re drawing from decades of communication innovation in structured notes, email, groups, and real-time messaging to create a tool that gets out of the way and lets teams exchange information and make decisions in a more natural way.

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.

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 :

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.

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