AI/ML Applied Engineer

About the role

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.

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
• Maintain the AI System's performance in production environments
• Debug complex AI behaviors and build observability tools
• Develop software engineering fundamentals for production AI systems
• Build autonomous agents or multi-step AI workflows
• Understand computer vision for UI understanding and visual grounding
• Fine-tune or train language models for specialized tasks
• Develop real-time audio processing and streaming architectures

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
• 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

Qualifications

• Background in NLP, machine learning research, or AI systems

Skills

• Python

Benefits

• 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

Pay

• $120 - $170

Schedule

• New York, NY, US / San Francisco, CA, US