Our client is looking for an AI / Backend Systems Engineer to build and scale the core systems behind AI‑powered products. This role sits at the intersection of backend engineering, applied AI, and platform infrastructure. You’ll design reliable, production‑grade systems that power intelligent workflows—everything from data ingestion and APIs to agent orchestration, evaluation, and monitoring.

What You’ll Do

• Design, build, and own backend services and APIs using TypeScript (Node.js)
• Develop AI‑enabled systems such as tool‑using agents, RAG/search pipelines, classification & extraction workflows, and human‑in‑the‑loop flows
• Build and maintain data ingestion pipelines (APIs, webhooks, async jobs, files)
• Architect scalable systems: queues, background workers, orchestration, retries, rate‑limiting, and fault tolerance
• Implement observability for AI systems: logging, metrics, tracing, quality evals, drift detection, and cost/latency monitoring
• Collaborate with ML and product teams to productionize models and prompts safely and reliably
• Ensure systems meet high standards for security, performance, and reliability
• Contribute to technical design reviews and help set backend and AI engineering best practices

What We’re Looking For

• 4 years of backend or platform engineering experience (or equivalent)
• Strong proficiency in TypeScript (or similar)
• Experience building and operating production backend systems (REST/GraphQL APIs, services, data stores)
• Familiarity with AI/ML concepts and production AI workflows (e.g., LLMs, RAG, embeddings, evals)
• Experience with asynchronous systems, queues, and distributed architectures
• Solid understanding of data modeling, schema design, and API contracts
• Comfort owning systems end‑to‑end—from design to deployment to on‑call