Role Responsibilities:
- Develop and maintain AI-driven features and services.
- Design and implement scalable data structures and pipelines.
- Build and own end-to-end Retrieval-Augmented Generation (RAG) pipelines.
- Collaborate closely with cross-functional teams to enhance platform capabilities.
About you:
- Strong familiarity with Large Language Models (LLMs) and their practical applications.
- 5+ years of software engineering experience; Python proficiency strongly preferred.
- Demonstrated enthusiasm for applying AI solutions to complex, real-world problems.
- Practical experience with data modeling and proficiency in SQL.
- Hands-on experience building and managing large-scale data pipelines (10M+ records/day).
- Proven track record of releasing and maintaining production code at scale.
- Bachelor’s or Master’s degree in a technical discipline, or equivalent experience.
- Self-driven with the ability to independently manage tasks and projects.
- Experience with AI frameworks (e.g., LangGraph, LangChain, or similar).
- Experience deploying containerized services using Docker and cloud platforms (AWS or GCP).
- Interest in analyzing user engagement data and driving insights.
- Experience developing dashboards and data visualizations.
Benefits:
- Flexible/unlimited vacation
- Comprehensive medical, dental, and vision
- 401(k) plan
- Life insurance and FSA plans
- Stock options
- Equinox gym membership or wellness stipend
Top Skills
What We Do
Becoming a user-centric organization requires a deep and personal understanding of the people using the product. Powered by machine learning and AI, unitQ captures user feedback in more than 100 languages from dozens of sources — including the Apple App Store, Discord, Google Play Store, Reddit, Twitter, Facebook, Instagram, and among others YouTube. unitQ parses this user feedback in real time for unitQ customers to help them inform decision making along every touchpoint of the customer journey.
Leading companies including Bumble, HelloFresh, Klarna, Pinterest, Spotify, Udemy and Upwork harness unitQ to visualize how existing and new product features and bugs are impacting their users across regions, app versions, and operating systems in real time.
Backed by Google and Accel.
