Full Stack Software Engineer | AdTech Product at LUMA AI INC
Palo Alto, California, United States -
Full Time


Start Date

Immediate

Expiry Date

06 Mar, 26

Salary

0.0

Posted On

06 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Systems Thinking, Creative Optimization, Data Structures, AI Integration, LLMs, Multimodal Models, Python, React, TypeScript, JavaScript, CSS

Industry

Software Development

Description
The Opportunity Luma AI is a full-stack AI lab. We train our own foundational models and build the products that utilize them. We are well-resourced to compete at the frontier of AI while maintaining a lean team structure. You will join the founding engineering team for a new product focused on intelligent ad creation, solving novel problems in how AI agents perceive and manipulate creative assets. Where You Come In You will build the intelligence layer that powers our autonomous agentic workflows. This role involves designing systems that can handle the complexity of generative AI, from managing inference pipelines to building the infrastructure for autonomous creative agents. You will work to bridge the gap between our foundational research and a reliable production application. What You Will Build Agent Infrastructure: Build the backend systems that enable autonomous AI agents to perform multi-step creative tasks on behalf of users. Generative Workflows: Design high-throughput systems capable of serving generative video and audio, solving challenges in job queuing and media processing. Optimization Loops: Implement the feedback loops that allow the system to learn from performance data and improve creative output over time. The Profile We Are Looking For Systems Thinker: You have a history of making high-stakes technical decisions for complex systems, balancing speed, reliability, and scale. Domain Expertise: You have worked extensively in the ads ecosystem (creative optimization, exchanges, or platforms) and understand the data structures required for ad performance. AI Integration: You have experience or strong familiarity with building applications that leverage LLMs, agents, or multimodal models. Stack Proficiency: You hold a command of Python backends and are comfortable contributing to frontend React, TypeScript/JavaScript, CSS.
Responsibilities
You will build the intelligence layer that powers autonomous agentic workflows, designing systems to manage the complexity of generative AI. This includes building backend systems for AI agents and implementing feedback loops for performance improvement.
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