Software Engineer – Backend-Focused

Job not on LinkedIn

🔥 0 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $140k - $225k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 0%

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AZX

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2024

💼 Consulting

📦 Logistics

🏗️ Construction

Consulting • Logistics • Construction

AZX is a public benefit corporation delivering AI solutions specifically tailored for the energy, real estate, and supply chain industries. They focus on solving client problems expediently by leveraging innovative strategies and engineering AI-enabled solutions that provide measurable results. With a mission-driven approach, AZX emphasizes creating impact in both organizational efficiency and environmental sustainability.

📋 Description

• Work on software projects in client engagements and, over time, internal platform capabilities • Build and maintain backend services for the LLM gateway, including routing, rate limiting, key management, and observability in front of the inference fleet • Contribute to sandboxing and isolation infrastructure that keeps agent-generated code safe to execute • Support Kubernetes-based platform services, including operators and autoscaling logic adjacent to the inference platform • Write high-performance backend code in Go, Rust, or async Python (FastAPI/Starlette), working with Envoy and gRPC • Instrument services with OpenTelemetry to maintain observability of behavior, latency, and cost as the platform scales • Collaborate across gateway, sandbox, and inference platform teams, flexing across areas as priorities shift • Own the technical backbone of model serving and evaluation at scale, including GPU scheduling, autoscaling, and serving infrastructure for vLLM/SGLang across cloud and customer-managed clusters

🎯 Requirements

• 4+ years of experience in backend engineering fundamentals: distributed systems, API design, and production experience in Go, Rust, or async Python • Familiarity with LLM-specific backend concerns (rate limiting, caching, token accounting) is a plus, though not required on day one • Exposure to Kubernetes and containerization • Interest in sandboxing or security is a plus • Comfort working across a range of platform concerns rather than one narrow specialty • Eagerness to grow into deeper specialization in gateway, sandbox, or inference infrastructure over time • High emotional intelligence and a learning mindset • Strong collaboration skills • Enjoy others' success and a fun, positive environment • Comfortable making decisions in the face of ambiguity and course correcting as needed • Experience in both startup and enterprise environments is a bonus • Past work in energy, real estate, utilities, climate or related fields is a bonus • Applicants must be currently authorized to work in the United States on a full-time basis • Must be willing to travel to Seattle area for final interview and travel 2x/year for company summits

🏖️ Benefits

• Competitive early-stage startup compensation (based on capabilities, experience, and location) • Bonus eligibility • Health insurance with meaningful coverage for dependents • Flexible paid time off • Equity • Fully remote culture with a cluster of teammates in Seattle • Training and learning opportunities • Be part of a fast-growing, profitable, mission-driven company with industry leading clients tackling the massive opportunity of AI transformation in critical industries