# Senior AI Engineer at Aquant

> Hybrid · Israel · Senior · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3AAquant%3A3e44e990-2fc3-48a2-a359-2cdc7f6bcbbb (read 2026-11-05).

## Facts (observed)

- Company: [Aquant](https://alderhq.app/companies/aquant)
- Location text: Tel Aviv, IL
- Where it can be done from (inferred): Hybrid · Israel (evidence: "Location: Tel Aviv, IL")
- Posted: 2026-10-28 (8 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/Aquant/3e44e990-2fc3-48a2-a359-2cdc7f6bcbbb
- Skills listed (inferred): TypeScript, Python, Go, Java, C#/.NET, LLMs

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

Aquant is an AI platform transforming how enterprises support customers, employees, and service operations. Purpose-built for companies that manufacture and maintain complex equipment, our Conversational AI and Agentic AI platforms help organizations solve problems faster, automate workflows, and scale expert knowledge across the business. Trusted by global industry leaders, Aquant combines deep domain expertise with cutting-edge AI to help organizations reduce downtime, improve productivity, and deliver exceptional service. Learn more at www.aquant.ai

We're looking for a Senior AI Engineer who wants to build AI that works in the real world, on real enterprise data, with problems that don't have textbook answers. You'll join a team where AI isn't just the product. It's how we work.

We care more about your growth curve than your years. If AI has made you a dramatically better engineer over the last 2–3 years, and you have the projects to show it, we want to hear from you.

Based in Israel, working hybrid from our Tel Aviv office.

### Why this role

Own a whole area. Knowledge pipelines, agents or evals, end to end, not one slice of a large platform.

See your impact fast. What you ship reaches technicians and service agents at enterprise customers within weeks.

Work on hard, real data. Messy manuals, tickets and work orders, where a wrong answer has real consequences.

Join an AI-native team today. Agents already run in our daily engineering work, and you'll help build the next ones.

### What you'll build and own

Knowledge pipelines. Turn manuals, tickets and work orders into trusted knowledge that powers chat and text experiences, with voice and video on the roadmap.

Production AI agents. Build multi-step agents that use tools and APIs, handle failures gracefully, and balance reliability, speed and cost.

Measurable AI. Build automated evals, define success metrics, and catch regressions before they reach production.

Real business problems. Understand customer workflows, find what's worth automating, and deliver it with product and customer-facing teams.

Security by design. Protect customer data, prevent cross-customer exposure and prompt injection, and keep agent tool use safe.

How we build. Share what works, build tools and agents the team adopts, and help raise the bar for AI-native engineering.

Outcomes, not just code. Drive solutions from design to production, and keep improving them once they're live.

### Requirements

A hands-on developer with a steep growth curve. Ideally 5+ years of development experience, but what you can build matters more than how long you've been building.

AI-native in practice. AI is part of how you plan, build, test and review, and you know when its output isn't good enough.

Agents in production. You've built agents that call tools and APIs, and you know what it takes to keep them reliable, fast and affordable.

You measure AI quality. You've built evals, defined success metrics and used them to decide what ships.

Real problems, real results. You've turned a complex workflow into an AI-powered solution and can show measurable impact.

Solid backend engineering. Production services and pipelines in Python, TypeScript, Go, C#, Java or similar.

Ownership and clear communication. You take initiative, see things through to production, and explain AI behaviour clearly to product, CS and customers.

### Nice to have

RAG, data ingestion, retrieval and reranking.

A security background: secure coding, OWASP (including the LLM Top 10), threat modelling.

LLM data pipelines: labelling, classification or extraction at scale.

Experience in DevOps, QA, data or support roles alongside development.

Enterprise B2B experience, especially working directly with customers or customer-facing teams.

### It's not enough to have a cool product; join us because you share our values

These guiding values inspire every Aquant employee. They are how we operate and enable our company as a whole to have a greater impact and achieve our vision:

Be Humble and Respectful: We are one team, where collective success is more important than individual ego. Treat your colleagues with respect and empathy, act with good intent and value everyone’s contributions.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3AAquant%3A3e44e990-2fc3-48a2-a359-2cdc7f6bcbbb and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.
