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AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteMid Level

Location

Worldwide

Posted

53 days ago

Salary

0

Seniority

Mid Level

No structured requirement data.

Job Description

AI Engineer

Qatium

Role Description 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 Qualifications - 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 Requirements - 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 Benefits - 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

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