Job Details

At Quintess AI, we're building AI agents for industrial maintenance teams – starting with a voice agent that eliminates tedious admin work, improves data quality, and gives technicians time back to focus on fixing complex assets.

We integrate directly with existing enterprise systems to orchestrate maintenance end‑to‑end: assigning the right person to the right job at the right time, surfacing critical context, and unlocking faster, smarter repairs.

We're live in the U.S. and Europe, serving major rail operators, and backed by top VCs.

The Role

We're looking for an AI Engineer who can move fast, build robust solutions, and work close to customers. As one of our first five engineers, you'll play a founding role in strengthening our AI stack and delivering delightful real‑time experiences to enterprise customers.

This role combines deep technical work (building real‑time agentic AI systems) with forward‑deployed execution (understanding customer needs, adapting flows, prototyping solutions).

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.

Required Skills & Qualifications

• 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).
• 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 Qualifications

• 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.
• Work directly with the CTO and CEO.
• Shape not just a product, but an entire category.
• Heavy exposure to cutting‑edge AI (LLMs, real‑time voice agents).
• Real‑world problems, not just demos.

Compensation

• $150K – $225K
• Offers Equity

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