Karumi
The Opportunity
Join our AI engineering team in the US to build the core intelligence behind our platform. You'll work at the intersection of voice AI, browser automation, and large language models - creating agents that can listen, speak, navigate interfaces, and interact naturally with users in real-time.
This role combines cutting-edge AI with practical systems work. You'll design voice experiences, build browser agents that understand and control web applications, and optimize LLM behavior for production reliability. We ship working AI features that solve real problems, balancing innovation with pragmatic constraints.
We sponsor visas for qualified candidates.
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
Build 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
#J-18808-Ljbffr
This role combines cutting-edge AI with practical systems work. You'll design voice experiences, build browser agents that understand and control web applications, and optimize LLM behavior for production reliability. We ship working AI features that solve real problems, balancing innovation with pragmatic constraints.
We sponsor visas for qualified candidates.
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
Build 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
#J-18808-Ljbffr