Quintess AI · 2 months ago
AI Engineer
Quintess AI is building AI agents for industrial maintenance teams, focusing on enhancing efficiency and data quality. The AI Engineer will play a crucial role in developing real-time AI systems and engaging with customers to adapt solutions to their needs.
Computer Software
Responsibilities
Deploy new customers: Build and adapt AI agents for new use cases, often from scratch
Build AI features: Design and implement features that solve real customer problems (e.g. RAG-powered search integrated into a voice flow)
Push the stack: Improve our real-time voice AI capabilities - low-latency, robust, and reliable
Partner with customers: Engage directly to understand their needs, validate solutions, and iterate quickly
Feed the platform: Turn learnings from bespoke builds into reusable blueprints for the core product
Qualification
Required
Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or related fields
Proven experience in machine learning and AI, with a focus on generative models
Experience building AI agents (ideally, voice)
Strong backend engineer (Python, cloud deployment, AI tooling)
Curious about customer problems; comfortable talking to users and iterating on real workflows
Builder mindset: rapid prototyping, creative problem-solving, pragmatic execution
Excellent problem-solving skills and the ability to thrive in fast-paced environments
Preferred
Experience with real-time / low-latency AI, voice, or streaming systems
Hands-on experience orchestrating speech-to-text, LLM, and text-to-speech systems into real-time flows
Knowledge of retrieval-augmented generation (RAG) pipelines and their implementation
Experience integrating AI into enterprise systems (APIs, auth, data pipelines)
Prior startup / early-stage experience with high ownership
Benefits
Early equity upside
Company
Quintess AI
Quintess's AI teammates revolutionize maintenance operations across industries.
Funding
Current Stage
Early StageCompany data provided by crunchbase