Generative AI Engineer

At Utkast A I, we’re changing how people work.

We believe the future of work isn’t about doing more — it’s about doing less of what doesn’t matter.

The endless admin, the meeting notes, the follow-ups, the email threads — that’s not the real work.

The real work is thinking, creating, connecting, and leading.

Utkast exists to remove the boring middle work that slows people down — automating everything from email writing to meeting notetaking and summaries — so professionals can focus on what truly drives progress.

We’re building an intelligent layer that lives across your communication and workflow, learns your voice and context, and quietly works alongside you.

This isn’t just another productivity app.

It’s a new way to work.

If you want to help shape that future — join us, and build something that truly changes how people work.

About the Role

We’re looking for a Generative AI Engineer to help build the intelligence layer that powers Utkast — the system that understands people, their work, and their world.

This role sits at the frontier of machine learning and human behavior. You’ll design models and memory systems that go beyond prediction — building AI that learns, adapts, and understands context across how people communicate and collaborate.

From emails to meetings to summaries and beyond, you’ll help shape an AI that transforms information into insight — a system that feels less like a tool, and more like a trusted thinking partner.

You will

• Research, evaluate, and integrate state-of-the-art LLMs (OpenAI, Anthropic, Mistral, open-source, etc.)
• Build adaptive memory and contextual learning systems that evolve with every interaction
• Design end-to-end pipelines for drafting, summarizing, and semantic understanding
• Work with embeddings, RAG, and vector stores (Weaviate, Chroma, Pinecone, etc.)
• Collaborate with backend engineers to ensure performance, scalability, and privacy at every layer

You bring

You’ll thrive here if

You believe AI should make people more human, not less.

You’re obsessed with how technology learns from context, adapts to behavior, and fits naturally into the way people think and work.

You want to build systems that give professionals clarity, focus, and time back for what really matters.