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Gen AI Developer
Experience: 2 to 5 Years
Role Overview:
We are looking for a GenAI Developer with expertise in large language models, computer vision, and edge AI to build intelligent reasoning and perception layers for autonomous quadruped inspection systems. The role involves developing generative models, multimodal pipelines, and automated insight engines that enhance situational understanding and decision support for field robotics.
Key Responsibilities:
-Build and integrate LLM and multimodal AI pipelines for Robotic Perception use-cases.
-Develop GenAI-based modules for scene summarization, anomaly description, obstacle avoidance.
-Fine-tune foundation models for robotics-specific inspection datasets (text, images, video, PCD).
-Develop APIs and microservices to deploy GenAI components in edge or on-device environments.
-Build agentic workflows using popular frameworks and Implement workflow orchestrations
-Collaborate with robotics teams to integrate AI models at Edge.
-Support testing, validation, and optimization of AI models for real-time inference.
-Follow best practices in Python development, prompt engineering, and scalable AI architecture.
Required Skills:
-Programming: Python
-AI/ML Expertise: LLMs, Multimodal Models, Vision-Language Architectures
-Frameworks: PyTorch, TensorFlow, HuggingFace, LangChain, FastAPI, Orchestration Tools (like n8n)
-Data Skills: Dataset preparation, fine-tuning workflows, prompt design
-Software Practices: Git, modular development, CI/CD
Preferred Qualifications:
-Experience with GenAI applications for Computer Vision, Video Analytics, or Robotic Perception
-Understanding of real-time streaming and edge inference constraints
-Familiarity with ROS2 ecosystems for AI integration (good to have)
-Exposure to autonomous systems or inspection workflows
Educational Qualification:
- Bachelor’s or Master’s Degree in AI, Computer Science, Robotics, Data Science, or related areas.