Luma AI

Company Name: Luma AI
Job Title: Software Engineer - Backend
Job Description: Job Title: Software Engineer - Backend Role Summary: Develop core systems for generative AI products, focusing on scalable backend solutions, high-traffic APIs, and infrastructure for agentic systems. Expactations: Proactive, adaptable engineer with product instincts, thriving in fast-paced startup environments, taking initiative. Key Responsibilities: Design and maintain scalable backend systems; collaborate across product, design, research, and front-end teams to translate requirements into solutions; develop APIs, asynchronous workflows, infrastructure, billing, and moderation systems; own AI agent stack integration for agentic workflows; optimize ML inference pipelines for video and multimodal capabilities; contribute to technical roadmap and product strategy. Required Skills: 8+ years backend engineering; proficiency in Python or Go; experience designing/scaling high-traffic REST APIs; hands-on Docker/Kubernetes expertise; security/authentication best practices; generalist with cross-stack adaptability; startup environment experience. Required Education & Certifications: Not specified.

Palo alto, United states

Hybrid

Senior

14-09-2025

Company Name: Luma AI
Job Title: Software Engineer - AI Agents
Job Description: **Job Title:** Software Engineer - AI Agents **Role Summary:** Architect and build novel agentic systems for a multimodal AI Creative Partner platform. Focus on zero-to-one innovation in visual reasoning and creative interaction paradigms, scaling prototypes into reliable, low-latency, high-fidelity solutions for millions of users. **Expectations:** Proven technical builder with 5+ years engineering experience or advanced portfolio. Demonstrated ability to convert research into scalable products, strong product intuition, and passion for AI-augmented creativity. Thrives in ambiguous, fast-paced environments with first-principles thinking. **Key Responsibilities:** - Design and develop core agentic systems using first-principles approaches to redefine visual reasoning workflows. - Prototype and deploy advanced agentic workflows leveraging multimodal AI beyond current VLM/RAG limitations. - Architect distributed, low-latency, high scalability platforms for global user base. - Collaborate with research/design teams to integrate bleeding-edge models into intuitive, magical user experiences. **Required Skills:** - Proficiency in Python; backend/distributed systems design; databases. - Deep expertise in AI/LLM frameworks (e.g., VLMs, diffusion models), with history of extending standard capabilities. - Experience designing/buidling multimodal applications (video, image, speech). - Strong systems engineering for reliability/correctness at scale. **Required Education & Certifications:** Not specified.

Palo alto, United states

Hybrid

Mid level

14-09-2025

Company Name: Luma AI
Job Title: Software Engineer - Frontend UI
Job Description: Job title: Software Engineer - Frontend UI Role Summary: Lead the design, implementation, and optimization of a high‑performance web application built with React, TypeScript, and modern CSS. Translate Figma designs into production code, craft fluid animations with Framer Motion or GSAP, prototype innovative UI patterns for generative AI, and maintain a reusable component library. Expactations: Minimum 7 years of front‑end development experience; mastery of JavaScript/TypeScript, React, and modern CSS; design‑first mindset and proven collaboration with designers; ability to write clean, maintainable, reusable code for scalable design systems; strong eye for detail; performance tuning skills; capacity to handle asynchronous AI output flows; thrive in a high‑agency environment. Key Responsibilities: 1. Architect and develop core UI architecture (components, state, routing) using React and TypeScript. 2. Convert high‑fidelity Figma designs into pixel‑perfect, production‑ready code. 3. Build and integrate micro‑interactions and animations with Framer Motion, GSAP, or similar libraries. 4. Prototype and evaluate novel UI patterns that manage the asynchronous, unpredictable nature of generative AI outputs. 5. Identify performance bottlenecks, optimize rendering, and ensure responsiveness across devices. 6. Maintain and evolve a scalable component library and design system. 7. Collaborate cross‑functionally with design, product, and engineering teams in an agile environment. Required Skills: • React, TypeScript, JavaScript (ES6+) • Modern CSS (Sass, CSS‑in‑JS, Tailwind) • State management (Redux, Zustand, Context API) • Animation libraries (Framer Motion, GSAP) • Build tools (Vite, Webpack, Babel) • Responsive design, cross‑browser compatibility • Performance profiling and optimization • Figma hand‑off and asset management • Unit & integration testing (Jest, React Testing Library) • Agile development practices • Strong communication and teamwork skills Required Education & Certifications: Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent professional experience. Certifications not required but knowledge of modern front‑end frameworks and tooling is essential.

Palo alto, United states

Hybrid

Senior

16-09-2025

Company Name: Luma AI
Job Title: Software Engineer - ML, Creative Optimization Ads
Job Description: Job Title: Software Engineer - ML, Creative Optimization Ads Role Summary: Build and optimize AI-driven systems for generating high-impact video and image ads. Lead zero-to-one development of creative optimization platforms by integrating ML research with engineering execution. Expectations: 5+ years in ML/optimization for ad tech; apply advanced techniques (e.g., LoRA) to fine-tune vision-language models (VLMs); translate ad effectiveness insights into quantitative metrics; design scalable infrastructure for real-time optimization. Key Responsibilities: - Apply ML techniques to fine-tune VLMs for ad creative generation. - Develop offline (FID, CLIP score) and online (CTR, ROAS) metrics to evaluate ad performance. - Build scalable ML APIs and backend systems with feedback loops for continuous model improvement. - Execute A/B testing in ad environments to validate optimization strategies. - Define technical architecture for multimodal ad creative platforms. Required Skills: - Proficiency in Python, TensorFlow, PyTorch, or JAX. - Experience with distributed computing frameworks and cloud platforms (AWS, GCP, Azure). - Hands-on deployment experience with Docker, Kubernetes. - Strong understanding of ad campaign metrics (brand awareness, conversion KPIs). - Demonstrated ability to translate creative effectiveness into technical specifications. Required Education & Certifications: Not specified.

Palo alto, United states

Hybrid

Mid level

10-10-2025

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