Design, build, and deploy AI agents to help utilities make smarter decisions. Develop reusable frameworks and define evaluation standards. Collaborate with the team to move faster and improve AI development.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
๐ About Qatium
Qatium is the AI Water Platform for utility operations, helping utilities visualize networks, simulate decisions, and optimize performance โ tackling one of the worldโs 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 โ empowering utilities to operate their networks with full visibility and control in a seamless digital environment.
๐งฉ The Role
Weโre looking for an AI Engineer to bring production-grade AI into Qatiumโs water management platform.
Youโll design, build, and deploy LLM-powered features and AI agents that help utilities make smarter, faster decisions โ from anomaly detection to conversational interfaces over network data.
Youโll also define the standards, frameworks, and tooling that allow the whole team to move faster.
๐ฏ What Youโll Do
- Build and ship AI agents end-to-end (idea โ 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
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.
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- 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.
- You think in systems, not demos โ 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 โ from notebook to production system serving real users
- Youโre 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
- Youโre curious about the domain โ you invest in understanding water networks to build AI thatโs actually useful
- You work with collaborative velocity โ aligning fast, unblocking others, and documenting so the team moves forward
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
๐ Work on something that matters
Help solve a global challenge where your work has real-world impact โ improving how water is managed at scale.
๐ Remote-first by design
Work from anywhere with the autonomy and flexibility to do your best work.
๐ค Strong team
Collaborate with talented people who care about quality, move fast, and support each other.
๐ Growth
Learning budget, language platforms, and resources to keep improving your craft.
๐ฐ Flexible compensation plan
Adapt part of your compensation to what matters most to you.
๐ด Time to recharge
Enjoy your holidays from wherever you call home.
๐ Inclusive by default
We believe diverse perspectives lead to better decisions, better products, and a stronger team.
Letโs make every drop count ๐ง
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