About us
Flam is building the next generation of AI-native content formats that transform passive customer touchpoints into humanlike visual interactions. We power enterprises to create immersive, interactive experiences across marketing, communication, and commerce using cutting-edge generative AI.
Core Mission: We believe the most powerful interactions aren't transactional—they're creative, tactile, and alive. Flam is enabling businesses to go "beyond videos" with intelligent, interactive visual content.
Our Technology / AI Models
Fable 2.0
- Purpose: AI-native content generation and visual synthesis
- Technology: Flow matching diffusion transformer model
- Capabilities: Generates native RGBA content with dynamic motion, fine structural detail, and strong foreground presence
- Use Case: Creating immersive visual experiences from text prompts
Fantom 1.0
- Purpose: Identity-preserving video synthesis
- Technology: Advanced video synthesis model
- Capabilities: Creates temporally coherent video streams from a single face image and audio input
- Use Case: Personalized video communications and interactive avatars
Falcon 1.0
- Purpose: Conversational intelligence and personality-aware responses
- Technology: 30B parameter Mixture-of-Experts (MoE) large language model
- Capabilities: Delivers personality-aware and context-adaptive responses
- Use Case: Intelligent conversational layers within Flam experiences
Core Solution Pillars
- Engage (Marketing)- Make Flams part of your marketing mix by integrating interactive visual content across every customer touchpoint, driving higher engagement and brand recall.
- Connect (Communication) - Utilize Flam for personalized, immersive communication experiences that create deeper human-machine interactions and improve customer relationships.
- Convert (Commerce) - Transform visual interactions into measurable business outcomes with integrated checkout and commerce capabilities built into Flam experiences.
Key Technology Features
Interactive Streaming at Scale
- Immersive visuals and interactive controls with zero load time
- First frame loads in under 300 milliseconds
- No app download required (app-less infrastructure)
- Pro-grade immersion quality with humanlike interactions
- Omni-channel presence and integrated checkout
Prompt-Powered Creation
- Cut development weeks down to seconds with AI-driven generation
- Text-to-Flam conversion using natural language prompts
- One-click variant generation for A/B testing
- Integrated editor for fine-tuning (text, image, layers, audio, 3D, motion)
Distribution Channels - Flams can be distributed through multiple channels for maximum reach:
- Web Embed: Embed directly into websites with a simple code snippet
- Sharable Links: Distribute via digital ads, social media, SMS, and email
- Flam Codes: Integrate with physical channels (outdoor ads, CTV, retail stores, events)
Role Overview :We are seeking a talented and self-driven Backend Developer (SDE2) to join our engineering team. This role is ideal for someone who is passionate about building scalable backend systems, enjoys solving complex problems, and thrives in a collaborative, fast-paced environment. You will play a key role in designing and implementing core services and features that power our platform.
Key Responsibilities
- Design, build, and maintain scalable and maintainable backend services using Golang and Node.js.
- Architect and implement microservices using Docker and Kubernetes.
- Collaborate with cross-functional teams to develop features and improve system performance.
- Apply computer vision techniques to real-world problems, optimizing backend processing pipelines.
- Contribute to infrastructure design and ensure seamless deployment through CI/CD pipelines.
- Follow best practices in version control using Git, including branching, merging, and code review workflows.
- Monitor, debug, and enhance the performance of backend services in production.
Required Qualifications :
- Proficiency in Golang and Node.js.
- Strong experience with Docker and Kubernetes.
- Solid understanding of computer vision algorithms and applications.
- Proven experience in designing scalable backend architectures.
- Proficiency with Git and effective branching strategies.
- Familiarity with CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI.
- Sound understanding of microservices architecture.
Soft Skills:
- Sound understanding of microservices architecture.
- Excellent problem-solving and analytical thinking.
- Strong verbal and written communication skills.
- Team player who thrives in a dynamic and fast-paced setting.
- Proactive, self-motivated, and able to take ownership of deliverables.
Nice-to-Have (Bonus):
- Experience with machine learning frameworks like TensorFlow or PyTorch.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
Why Join Flam?
- Flam is building the future of AI-native content. We're at the intersection of:
- Generative AI: Cutting-edge models for content creation
- Enterprise Scale: Trusted by Fortune 500 companies
- Product Innovation: Transforming how brands communicate
- Rapid Growth: Scaling new technology to global enterprises