About theGist

theGist is a small but mighty startup with just 8 people and a $7M pre-seed investment 🤯 from top-tier VCs Aleph and StageOne. Our founding team includes executives from Wix, Blizzard, and OpenWeb.

We’re a cutting-edge customer success platform that seamlessly integrates collaborative communication with strategic customer management. We empower customer-facing and revenue teams to efficiently handle day-to-day interactions while driving long-term success and retention.

Our mission is to tackle one of the oldest and most common challenges for companies: information overload, which makes it difficult to establish a clear source of truth. Our solution? Leveraging generative AI to enhance workplace productivity for customer success and revenue teams by simplifying how information is created and consumed through a contextual AI assistant.

What We’re Looking For

We’re on the hunt for self-starters with a true founder mentality who thrive in a dynamic environment.

At theGist, We ship every day, embrace bold ideas, and encourage experimentation.

If you’re an experienced backend engineer who is passionate about rapid iteration and excited to tackle new technologies, we want to hear from you!

Responsibilities

• Lead the design and implementation of generative AI solutions for use cases like summarization, insights, and alerts generation.
• Continuously research emerging AI technologies and techniques to enhance our platform.
• Design a scalable infrastructure to handle large amounts of unstructured data at scale and with low latency.
• Work independently and lead initiatives end-to-end—from design to production.
• Become a vital part of the startup’s core team.
• Work closely with product and frontend teams to define requirements and ensure seamless integration with frontend applications.

Requirements

• 6+ years of experience in software development.
• Hands-on experience with LLMs, RAG, LangChain, AI agents, and NLP.
• Proficiency in Node.js and Python.
• Experience working with relational and NoSQL database systems.
• Experience working in cloud environments—AWS, GCP, or Azure.
• Bachelor's degree in Science, Computing, or equivalent.