Senior Gen AI Software Engineer

Liftoff is an AI-powered performance marketing platform for the mobile app economy. The Senior Gen AI Software Engineer will design and build AI-powered products for the demand-side business, developing intelligent systems, data pipelines, and user-facing experiences. The role owns generative AI capabilities from prototyping through production, builds reliable agentic workflows, and collaborates with product, engineering, and customer-facing teams.

Responsibilities:

• Own generative AI product capabilities end to end, from understanding user workflows and prototyping an approach 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, use well-defined tools, produce structured results, and hand control back to a person when appropriate
• Partner closely with decision makers and subject matter experts to understand their workflows, constraints, and business context, then integrate AI agents into daily work in practical and useful ways
• Design how AI systems access and use relevant information, including the data, tools, and instructions needed to produce useful grounded results
• Build the systems that make AI workflows reliable in production, including tool use, state management, failure recovery, and appropriate boundaries for human review
• Define clear, testable interfaces between models and software so uncertain model behavior can be handled safely within dependable product systems
• Develop evaluation systems that measure whether AI features accomplish the intended task, using realistic examples and an appropriate combination of automated checks and human judgment
• Build the instrumentation needed to understand quality, adoption, business impact, latency, cost, and failure modes in production
• Apply appropriate safeguards for customer data, system access, and high-impact workflows
• Build the Python services and TypeScript and React interfaces that turn these capabilities into cohesive products for customer facing teams
• Evaluate new models and techniques pragmatically, adopting them when they materially improve product quality, capability, speed, or cost
• Mentor other engineers and help establish shared practices for designing, testing, and operating AI-powered products

Requirements:

• Minimum Bachelors Degree and 8 yrs of relevant experience
• You are a seasoned software engineer who has built and operated meaningful production products, ideally including zero-to-one work spanning backend services, data, and user interfaces
• You have shipped LLM-powered or AI-assisted products beyond a demo and understand the practical challenges of reliability, context, tool use, provider changes, latency, cost, and changing model behavior
• You are highly proficient in Python and comfortable working in TypeScript and React, with strong fundamentals in API design, data modeling, SQL, and testing
• You understand how to build the broader system around a model, including its data, tools, instructions, permissions, feedback loops, and measures of quality
• You can define success criteria, investigate failures, and use testing, feedback, and production signals to improve AI experiences over time
• You exercise strong product and engineering judgment, choosing when a problem calls for traditional software, an LLM-powered approach, or a thoughtful combination of both
• You communicate complex technical ideas clearly and collaborate effectively with domain experts and non-technical partners
• You are comfortable working through ambiguity, making informed decisions with incomplete information, and changing direction when evidence shows a better path
• You are a lifelong learner with strong but flexible opinions, and you thrive on giving and receiving constructive feedback
• Experience as an early engineer, startup founder, or in a similarly high-ownership environment where you moved quickly from ambiguous problems to shipped products
• Experience with advertising technology, campaign optimization, performance marketing, analytics products, or other data-rich B2B software