Senior Gen AI Software Engineer
Liftoff · United States (Remote)
About this role
**Liftoff — Senior Gen AI Software Engineer** Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Join Liftoff as a **Senior Gen AI Software Engineer** and help shape the future of ad tech. You’ll be a key member of the **Gen AI team**, designing and building AI-powered products for the demand-side business—turning complex data into better decisions and meaningful customer growth. --- ## What you’ll do - **Own generative AI product capabilities end to end**—from understanding user workflows and prototyping through implementation, rollout, measurement, and ongoing improvement. - **Rapidly prototype and validate AI solutions** using focused experiments to test user value and technical feasibility, then turn what works into production-ready capabilities. - **Build agentic workflows** that can reason over campaign, customer, creative, and performance data—using well-defined tools, producing structured results, and handing control back to a person when appropriate. - **Partner with decision makers and subject matter experts** to understand workflows, constraints, and business context—then integrate AI agents into daily work in practical ways. - **Design how AI systems access and use information**, including data, tools, and instructions needed for grounded results. - **Build production-ready systems** for reliability: tool use, state management, failure recovery, and appropriate boundaries for human review. - **Define safe interfaces between models and software** so uncertain model behavior can be handled within dependable product systems. - **Develop evaluation systems** to measure whether AI features accomplish intended tasks using realistic examples and a mix of automated checks + human judgment. - **Build instrumentation** to understand quality, adoption, business impact, latency, cost, and failure modes in production. - **Apply safeguards** for customer data, system access, and high-impact workflows. - **Build Python services and TypeScript/React interfaces** to deliver cohesive products for customer-facing teams. - **Evaluate new models and techniques pragmatically**, adopting when they materially improve quality, capability, speed, or cost. - **Mentor other engineers** and help establish shared practices for designing, testing, and operating AI-powered products. --- ## Who you are - **Minimum Bachelors Degree + 8 years** of relevant experience. - Seasoned engineer with experience building and operating meaningful **production products** (ideally including zero-to-one work across backend services, data, and user interfaces). - Shipped **LLM-powered or AI-assisted products beyond a demo**, and understand real-world challenges: reliability, context, tool use, provider changes, latency, cost, and evolving model behavior. - Highly proficient in **Python**; comfortable with **TypeScript and React**; strong fundamentals in API design, data modeling, SQL, and testing. - Understands how to build the broader system around a model: data, tools, instructions, permissions, feedback loops, and quality measures. - Can define success criteria, investigate failures, and improve AI experiences using testing, feedback, and production signals. - Strong product + engineering judgment on when to use traditional software, LLM-powered approach
Listing freshness
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