AI Software Engineer
unitQ · San Francisco, CA
Extracted from the posting
AI Software Engineer role building and maintaining AI-driven features and data pipelines that analyze user feedback at unitQ. Work includes end-to-end RAG pipelines, data ingestion and processing at 10M+ records/day, and collaboration with cross-functional teams. Stack includes Python, SQL, LLMs, and optionally LangChain/LangGraph, Docker, and AWS or GCP.
About unitQ
At
unitQ
, we leverage AI and advanced analytics to enable businesses to proactively monitor and improve product quality based on real-time user feedback from both public and private channels.
Backed by leading investors such as
Zendesk
,
Accel
,and
and following our recent Series B-1, unitQ serves world-class clients, including Pinterest, PayPal, and Dropbox. Our mission is to help companies of all sizes deliver exceptional product experiences, optimize operational efficiency, and drive sustainable growth through continuous product quality improvement.
About the Opportunity
We’re looking for an AI Software Engineer to lead features that use AI and conventional methods to intelligently analyze user feedback. You will work closely with fellow engineers and stakeholders to design, build, and monitor robust systems for data ingestion, cleaning, and processing. If you’re passionate about writing clean, testable Python code and enjoy working in a collaborative, fast-paced environment, we’d love to hear from you.
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
At unitQ, we believe that a diverse and inclusive team is key to building a great product. We celebrate the different cultures, perspectives, and experiences reflected across our team and will continue to build a diverse team as we grow.
