Senior Generative AI Engineer

Liftoff

65d • $135,000 - $227,000

About The Position

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. Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. Join Liftoff as a Gen AI Software Engineer and shape the future of ad tech. As a key member of our Gen AI team, you'll architect and develop AI-powered solutions that transform how our business operates. Your focus will be building intelligent agents that enhance our sales, customer success, finance, and other core functions, while also leveraging cutting-edge vision and diffusion models to revolutionize creative production. In this role, you'll have an immediate impact on our AI strategy and product development. We foster a collaborative environment where you'll work closely with key decision makers to bring innovative solutions to life. You'll have the freedom to experiment, mentor others, and grow into a thought leader who defines not just Liftoff's AI future, but influences the broader ad tech industry. This role is ideal for an engineer who thrives in ambiguity, has a passion for experimentation, and wants to push the boundaries of what's possible with LLMs. You'll have the opportunity to tackle complex challenges, validate new approaches, and drive meaningful improvements across our organization.

Requirements

• Minimum Bachelors Degree and 5yrs of relevant experience
• Seasoned software engineer with proven experience building products 0-1 and a strong proficiency in Python
• Push engineering boundaries by challenging traditional approaches, and bringing proven expertise to adapt best practices for AI-first development
• Have experience building autonomous Gen AI agents in sales, customer support, or other key functions, demonstrating proficiency in multi-agent systems and complex task decomposition
• Have experience in developing and implementing evaluation frameworks for Gen AI products, including automated testing and human-in-the-loop feedback systems
• An experienced prompt engineer who has spent significant time optimizing Gen AI products through systematic experimentation and iteration
• Demonstrated ability to navigate ambiguity, make quick, informed decisions, and course-correct rapidly as new information emerges
• Gen AI enthusiast who deeply understands LLMs' capabilities and advocates for letting models shine rather than over-constraining them with deterministic prompting
• Natural collaborator who communicates complex technical concepts clearly and works effectively with diverse stakeholders
• Lifelong learner with strongly-held but flexible beliefs, who thrives on giving and receiving constructive feedback

Responsibilities

• Pioneer next-generation enterprise applications by architecting scalable, interoperable AI agents that reimagine and automate workflows across sales, customer success, creative, finance and other core functions
• Rapidly prototype and validate Gen AI solutions through quick proof-of-concepts, then leverage learnings and feedback to ship production-ready solutions at speed
• Partner with decision makers and subject matter experts across the organization to deeply understand existing workflows and seamlessly integrate AI agents into daily operations
• Design robust systems that effectively manage uncertain AI-generated results, create reliable guardrails, and develop flexible products capable of handling the inherent variability in generative AI outputs
• Design and implement comprehensive evaluation frameworks, monitoring systems, and dashboards assess model performance
• Treat prompt engineering as both an art and a science via iteration, analysis, and collaboration with cross-functional teams to translate human workflows into LLM instructions
• Implement and refine advanced Retrieval-Augmented Generation (RAG) systems, optimizing embedding models, text chunking, and vector storage
• Drive innovation by researching LLM and Generative AI advancements, sharing insights, and proposing new product initiatives that leverage emerging AI capabilities
• Mentor and champion best practices across the engineering team, fostering an environment of open feedback and shared learning that pushes our team forward

Benefits

• Equity and health/vision/dental benefits associated with your country of residence
• Competitive salaries
• Wellness stipends
• Additional perks based on your country of residence

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Bachelor's degree