Software Engineer

3 days ago

bangalore, India Machani Robotics Full time

Location: Bengaluru, India — On-site (Full-time) Compensation: Competitive package based on experience Who We AreAt Machani Robotics , we are building the future of human–robot interaction through our advanced Humanoid Framework , powering humanoid robots like RIA and others. Our mission is to create humanoids that can think, understand, and respond with human-like intelligence — combining deep learning, retrieval-augmented reasoning, and local-first AI execution. If you’ve ever wanted to bring AI models to life — to make them move, speak, and feel present in the world — this is your stage. Role OverviewAs an AI Engineer (NLP) , you will take a leading role in developing, fine-tuning, and deploying large language and multi-modal models for humanoid systems. You’ll design efficient retraining pipelines, integrate LoRA adapters , and build frameworks that enable continuous learning , contextual recall , and offline adaptability across distributed edge devices. You will collaborate closely with the Systems , Robotics , and Cloud Infrastructure teams to optimize inference pipelines for performance, reliability, and scalability. What You’ll Work OnFine-tune and adapt foundation models using LoRA , PEFT , or QLoRA methodologies. Design retraining workflows using Unsloth.ai, PyTorch Lightning , or Hugging Face pipelines. Implement RAG (Retrieval-Augmented Generation) layers with hybrid memory stores such as Vector Store , Redis , and GraphDB . Optimize model inference through GGUF , GGML , or ONNXRuntime pipelines for real-time humanoid interaction. Contribute to the AI Daemon layer — orchestrating multimodal models for speech, vision, and cognition. Build automation around data curation , evaluation , and model versioning using CI/CD workflows. Collaborate with cross-functional teams to deploy models across cloud , edge , and on-device environments. What You BringBachelor’s or Master’s degree in Computer Science , Artificial Intelligence , Machine Learning , or related fields. Deep understanding of transformer architectures , attention mechanisms , and tokenization . Hands-on experience in LoRA/PEFT fine-tuning , embedding generation , and inference optimization . Proficiency in Python and PyTorch (experience with TensorFlow , vLLM , or Hugging Face Transformers is a plus). Strong grasp of vector databases , RAG frameworks , and model evaluation metrics . Comfortable working with Linux-based systems , Docker , and Kubernetes . Excellent collaboration skills and curiosity to explore AI-driven robotics applications . Nice-to-HaveFamiliarity with Go or Rust for backend model integration. Experience with quantization , distillation , or ONNX graph optimization . Exposure to speech or vision models and multi-modal alignment. Contributions to open-source model optimization or training frameworks. Why Join Machani RoboticsBuild AI that lives inside humanoid robots. Work with a passionate, cross-disciplinary team combining software , hardware , and AI research . Access to cutting-edge compute infrastructure and model experimentation pipelines. Opportunity to publish, innovate, and lead next-gen AI integrations. Competitive compensation and long-term career growth within a frontier robotics company.

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