AI/ML Applied Engineer

Core Responsibilities

• Build and optimize voice AI systems using speech-to-text and text-to-speech models
• Design browser agents that navigate, understand, and interact with web applications
• Implement browser automation with computer vision and DOM understanding
• Engineer prompt systems and LLM workflows for consistent, intelligent behavior
• Create evaluation frameworks to measure voice quality, agent accuracy, and user experience
• Integrate multimodal AI - combining voice, vision, and language understanding
• Create real-time AI pipelines where latency and reliability are critical
• Manage the AI infrastructure and take care of it
• Monitor and improve AI system performance in production environments

Technical Requirements

• Production experience with LLMs (OpenAI, Anthropic, or open-source models)
• Hands-on work with speech AI (STT/TTS systems like Deepgram, ElevenLabs, Whisper)
• Experience with browser automation (Playwright, Puppeteer, Selenium) or computer vision
• Strong Python skills with async programming and real-time systems
• Understanding of prompt engineering, retrieval systems, and agent frameworks
• Ability to debug complex AI behaviors and build observability tools
• Software engineering fundamentals for production AI systems

Nice to Have

• Experience building autonomous agents or multi-step AI workflows
• Knowledge of computer vision for UI understanding and visual grounding
• Fine-tuning or training language models for specialized tasks
• Real-time audio processing and streaming architectures
• Background in NLP, machine learning research, or AI systems

Why Karumi

Meaningful equity stake in a backed, fast-growing company
Work on cutting-edge voice AI and browser agents in production
Shape how AI systems interact with users and software interfaces
Small team with direct impact on core product capabilities
Gym Visa sponsorship available