DiscoverStartupsAZXJobs at AZX: Explore current Opportunities
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AZX
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We deliver AI solutions for energy, real estate, supply chain and other infrastructure industries11-50 Employees

Jobs at AZX

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Engineering

Forward Deployed AI Engineer (Senior)

NewPosted 1 month ago

Forward Deployed AI Engineer (Senior)

  • Own your client's technical delivery end to end — discovery support, solution design, build, deployment into the client's environment, and a handover their team can actually run.
  • Build the trust machinery behind every system you ship: eval harnesses, replay loops, guardrails, cost/latency budgets, monitoring, and a defined "what happens when it's unsure" path.
Engineering

Senior Product Engineer (AI, Full-Stack)

NewPosted 1 month ago

Senior Product Engineer (AI, Full-Stack)

  • Build and evolve the chat surface and agent workspaces — streaming protocol on both client and server, message/run persistence, tool-call and approval UX, and citation rendering.
  • Partner with the platform team on the app builder: the fixed app template and toolchain it generates against, the preview sandbox seam, and the generation/repair loop UX.
Engineering

Senior ML Engineer (Energy & Utilities)

NewPosted 1 month ago

Senior ML Engineer (Energy & Utilities)

  • Own the reusable utility ML libraries — forecasting, disaggregation, demand response, detection, and asset health — each shipped with its own evaluation harness and documentation.
  • Build capabilities once as tested libraries with validation harnesses, so client pods deploy proven components (like meter disaggregation or load forecasting with abstention and monitoring built in) instead of reinventing them per engagement.
Engineering

Senior ML Engineer (Client Solutions)

NewPosted 1 month ago

Senior ML Engineer (Client Solutions)

  • Own the full ML delivery lifecycle: data discovery and cleaning, modeling, evaluation, deployment into the client environment, scheduling, monitoring, and retraining policy.
  • Build forecasting and detection models that hold up against real-world data quality issues (late feeds, revised rows, missing labels).
Engineering

Senior Backend Engineer (AI Platform)

NewPosted 1 month ago

Senior Backend Engineer (AI Platform)

  • Own the LLM gateway: routing, metering, budgets, guardrail composition, and provider/backend adapters across hosted and self-hosted models.
  • Manage the retrieval and knowledge service: connectors, chunking, hybrid search and reranking, grounded answers, and the MCP surface.
Engineering

Senior Software Engineer (AI Inference & Runtime Platform)

NewPosted 1 month ago

Senior Software Engineer (AI Inference & Runtime Platform)

  • Manage the serving tier for open-weight models: engine deployment and configuration, cold-start strategy, per-model SLOs, and upgrade/canary discipline.
  • Administer the Kubernetes layer for inference and sandbox workloads: operators and CRDs, autoscaling (KEDA/Karpenter-class), GPU scheduling and sharing, and node lifecycle.