🌍 About Qatium

Qatium is the AI Water Platform for utility operations, helping utilities visualize networks, simulate decisions, and optimize performance — tackling one of the world’s most urgent challenges, where up to 50% of clean water is lost before it reaches the tap.

Our mission is to make water infrastructure smarter, more resilient and efficient — empowering utilities to operate their networks with full visibility and control in a seamless digital environment.

🧩 The Role

We’re looking for an AI Engineer to bring production-grade AI into Qatium’s water management platform.

You’ll design, build, and deploy LLM-powered features and AI agents that help utilities make smarter, faster decisions — from anomaly detection to conversational interfaces over network data.

You’ll also define the standards, frameworks, and tooling that allow the whole team to move faster.

🎯 What You’ll Do

Build and ship AI agents end-to-end (idea → production)
Own deployment, monitoring, and continuous improvement
Create reusable frameworks to accelerate AI development
Define evaluation standards (latency, cost, quality)
Enable other teams to build AI features independently

💡 What We’re Looking For

Must-haves

Experience shipping LLM/AI systems to production (not just demos or notebooks)
Strong Python (APIs, async, and production systems)
Experience with LLM orchestration frameworks (LangChain, LangGraph, or similar)
Solid AWS expertise (Bedrock, EKS/ECS, Lambda, S3) with experience running AI workloads.
Kubernetes fluency (deployments, debugging, CI/CD (Spinnaker, Travis, or similar)).
Experience designing multi-agent systems
End-to-end work mindset: from shaping the problem to production.

Nice-to-have

Familiarity with LLM observability / safety tooling (Langfuse, Guardrails, or equivalent).
Background in data-intensive systems or IoT domains (recs, pipelines, search) relevant to network monitoring.

🧠 How You Work

You think in systems, not demos — from prompts and agents to infrastructure and reliability
You care about latency, cost, and correctness from day one
You balance speed vs robustness, knowing when to prototype and when to harden
You take end-to-end ownership — from notebook to production system serving real users
You’re hands-on with cloud and infrastructure (AWS, Kubernetes, CI/CD) and understand real-world trade-offs
You build things others can use and extend, not just things you understand
You’re curious about the domain — you invest in understanding water networks to build AI that’s actually useful
You work with collaborative velocity — aligning fast, unblocking others, and documenting so the team moves forward

Why Qatium?

🌍 Work on something that matters

Help solve a global challenge where your work has real-world impact — improving how water is managed at scale.

🌐 Remote-first by design

Work from anywhere with the autonomy and flexibility to do your best work.

🤝 Strong team

Collaborate with talented people who care about quality, move fast, and support each other.

🚀 Growth

Learning budget, language platforms, and resources to keep improving your craft.

💰 Flexible compensation plan

Adapt part of your compensation to what matters most to you.

🌴 Time to recharge

Enjoy your holidays from wherever you call home.

🌈 Inclusive by default

We believe diverse perspectives lead to better decisions, better products, and a stronger team.

Let’s make every drop count 💧

Jobs

AI Engineer