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AI Software Engineer

unitQ

On-siteSan Francisco, CAseniorPosted 8h ago

Job description

  • 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

  • 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

Benefits

  • Flexible/unlimited vacation

  • Medical coverage through BlueSheild and Kaiser

  • Dental and Vision coverage through Beam

  • 401(k) Plan

  • Life insurance

  • FSA and Dependent Care FSA Plans

  • $50/month internet/cell phone/equipment reimbursement

  • Generous leave policies

  • Thrive Market - company paid membership and $50/month stipend (for remote US employees only)

  • Equinox Gym Memberships - No Equinox near you? We offer a monthly stipend instead! (In place of an Equinox membership, we can offer $100/month as a wellness benefit)

  • Continuing education reimbursement

  • Stock Options

  • Snacks and dog friendly office environment- 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

  • 5+ years of software engineering experience; Python proficiency strongly preferred

  • Bachelor’s or Master’s degree in a technical discipline, or equivalent experience

  • Self-driven with the ability to independently manage tasks and projects

  • Strong familiarity with Large Language Models (LLMs) and their practical applications

  • Proven track record of releasing and maintaining production code at scale

  • Hands-on experience building and managing large-scale data pipelines (10M+ records/day)

  • Demonstrated enthusiasm for applying AI solutions to complex, real-world problems

  • Practical experience with data modeling and proficiency in SQL

  • Experience with AI frameworks (e.g., LangGraph, LangChain, or similar)

  • Experience deploying containerized services using Docker and cloud platforms (AWS or GCP)

  • Experience developing dashboards and data visualizations

  • Interest in analyzing user engagement data and driving insights