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
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 ForMust‑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.
#J-18808-Ljbffr