Flam is building the next generation of interactive media through its content format. We are an AI-native technology company transforming how brands and consumers interact through immersive, interactive content. Our technology enables rich, app-less experiences that can be launched instantly on smartphones, creating a fundamentally different way for brands to engage consumers. We are backed by leading investors and already work with some of the world's largest brands. We are now building Flicks, our interactive media format for the US market.
Flam builds multimodal AI systems that ship to real customers. Falcon — Our LLM system, built on a sparse-MoE backbone.
Whoever joins will own systems end-to-end training, evaluation, serving, and the latency budget.

Fine-tune and evaluate open-weight models LoRA/QLoRA, full SFT, preference tuning) and get them into production without a quality regression.
Take research to production: read the paper, replicate it, decide honestly whether it's worth shipping, and then ship it.
2+ years building ML systems that ran in production, not only in notebooks.




Strong Python and PyTorch. You can read a model implementation and modify it, not just call .fit.
Hands-on experience with at least one modern inference stack (vLLM, SGLang, TensorRTLLM, or TGI) and a real understanding of what makes it quick.
Demonstrated fine-tuning experience — you've trained something, evaluated it properly, and know why your eval numbers meant what you claimed.
Experience in one or more of: speech ASR/TTS, diffusion and image generation, or video/avatar generation.
Quantization experience beyond running an off-the-shelf script.
Real-time streaming systems WebRTC, low-latency audio/video pipelines).
Indic language NLP, multilingual tokenizer work, or code-mixed data.
Cloud GPU deployment on GCP, AWS, or RunPod — including the unglamorous parts.

PyTorch · vLLM · SGLang · TensorRT / ONNX · Unsloth · LLaMAFactory · TRL Milvus · BGEM3 · Redis · NATS · Docker · GCP · RunPod · WebRTC · ComfyUI.

📌 Tech / AI Specialist (Bengaluru)
🏢 Flam
📍 Bengaluru