Develop and maintain AI-driven features, design scalable data structures and pipelines, and enhance platform capabilities while collaborating with teams.
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 Google 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.
Nice to have:
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.
unitQ Burlingame, California, USA Office
1440 Chapin Ave, Burlingame, CA, United States, 94010
Similar Jobs
Cloud • Information Technology • Machine Learning
Build AI agents, copilots, and first-party applications that automate internal workflows across Finance, Supply Chain, HR, and business operations. Responsibilities include developing full-stack web and mobile applications with React, TypeScript, Node.js, and Go; integrating enterprise systems; building APIs, microservices, and event-driven architectures; deploying cloud applications; and applying generative AI frameworks and tools. The role partners with technical and business stakeholders to create secure, maintainable, user-centered productivity solutions.
Top Skills:
AWSAzureBashBoomiC#C++Chatgpt CodexCi/CdClaudeCohereContainer OrchestrationCursorData WarehousesDcimDevOpsErpEvent-Driven ArchitectureFastapiGCPGeminiGithub CopilotGleanGoGrpcHrisJavaKafkaKestrelLangchainLanggraphMicroservicesMrpNext.JsNode.jsOpenaiPdmPythonRayReactRest ApisSparkTypescriptWorkato
Fintech • Mobile • Software • Financial Services
Lead the design, development, and operation of SoFi’s AI developer experience platform, including AI Gateway, model routing, evaluation systems, harness vending, and cost telemetry. Establish engineering standards, guide architecture and cross-team execution, improve CI/CD and operational reliability, mentor engineers, and partner with internal developers to drive adoption of AI coding tools. Ensure secure, compliant use of AI systems and maintain the platform’s technical vision.
Top Skills:
Ai-Assisted Developer ToolingAutonomous AgentsAWSCi/CdCloud InfrastructureContainerizationDistributed SystemsGCPGoJavaKotlinLlmsModel RoutingPrompt EngineeringPythonScala
Fintech • Mobile • Software • Financial Services
Leads architecture and technical strategy for enterprise AI developer experience, including AI gateways, model routing, evaluation platforms, harness vending, and AI economics. Drives cross-team initiatives, resolves distributed-system bottlenecks, establishes engineering standards, leads incident response, evaluates AI tooling, and mentors senior and staff engineers. Requires hands-on experience with LLM architectures, model APIs, AI-assisted development tools, evaluation pipelines, dynamic routing, platform infrastructure, and infrastructure economics.
Top Skills:
Ai GatewaysAutonomous Coding AgentsCi/CdCross-Domain ApisDeveloper PlatformsDistributed SystemsEvaluation PipelinesFinopsLlmModel ApisModel RoutingTelemetry
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
