Qatium is the AI Water Platform for utility operations helping utilities visualize networks simulate decisions and optimize performance tackling one of the worlds 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
Were looking for an AI Engineer to bring production-grade AI into Qatiums water management platform.
Youll 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.
Youll also define the standards frameworks and tooling that allow the whole team to move faster.
What Youll Do
Build and ship AI agents end-to-end (idea production)
Own deployment monitoring and continuous improvement
Create reusable frameworks to accelerate AI development
Enable other teams to build AI features independently
What Were 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
Youre 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
Youre curious about the domain you invest in understanding water networks to build AI thats actually useful
You work with collaborative velocity aligning fast unblocking others and documenting so the team moves forward
Why Qatium
Work on something that mattersHelp solve a global challenge where your work has real-world impact improving how water is managed at scale.
Remote-first by designWork from anywhere with the autonomy and flexibility to do your best work.
Strong teamCollaborate with talented people who care about quality move fast and support each other.
GrowthLearning 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 rechargeEnjoy your holidays from wherever you call home.
Inclusive by defaultWe believe diverse perspectives lead to better decisions better products and a stronger team.
Lets make every drop count
About QatiumQatium is the AI Water Platform for utility operations helping utilities visualize networks simulate decisions and optimize performance tackling one of the worlds most urgent challenges where up to 50% of clean water is lost before it reaches the tap.Our mission is to make water infrast...
About Qatium
Qatium is the AI Water Platform for utility operations helping utilities visualize networks simulate decisions and optimize performance tackling one of the worlds 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
Were looking for an AI Engineer to bring production-grade AI into Qatiums water management platform.
Youll 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.
Youll also define the standards frameworks and tooling that allow the whole team to move faster.
What Youll Do
Build and ship AI agents end-to-end (idea production)
Own deployment monitoring and continuous improvement
Create reusable frameworks to accelerate AI development