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Salary
≈ $92k – $240k per year (Estimated)
Location
Hybrid (Tel Aviv, Israel)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 28, 2026.

Overview
Company
Impact
Profile match
Aquant is an agentic AI platform built for service organizations that maintain complex equipment. It analyses service data, from manuals to technician notes, to improve troubleshooting, speed up training and reduce costs. The company is headquartered in Newton, United States.

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.

  • Be Curious: Keep learning, and asking questions to understand complex situations. Embrace new challenges. Keep an open mind, and be receptive to feedback.

  • Take Ownership: Focus on achieving measurable and meaningful outcomes. Take decisive action, solve problems proactively, and take ownership for projects and results.

  • Act with Integrity: Act with Integrity. Do great things while doing the right thing for your customers and colleagues.

Some of our benefits:

  • Social benefits that go beyond the basics: Pension, managers' insurance (Bituach Menahalim), and education fund (Keren Hishtalmut), with contributions calculated on 100% of your salary.

  • Support yourself and those you love: We offer parental leave to full-time employees across all Aquant locations.

  • Vacation your way: We want to make sure you have time to meet your personal needs with generous PTO and flexible vacation planning.

  • Everyone is an owner: We want everyone to feel ownership over their work and what we are building here, which is why we offer equity to full-time employees.

  • Build your career: Every Aquant employee is in control of their career development with our learning stipends, tools, and training.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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