Remote Backend AI Engineer, Agent Systems

Protingent; Washington; Hybrid; USD 120,000 - 160,000; Full time

Job summary

Protingent Staffing is seeking a Backend Engineer, AI (Agent Systems) for a fully remote role. You will own the inference and orchestration layer powering AI interactions, balancing latency, correctness, reliability, and cost in production environments.

You will design and operate production systems that turn model capability into fast, observable APIs used by mobile and desktop clients, driving scalable AI-powered features across the product.

Qualifications

• Strong backend engineering fundamentals in production environments.
• Experience running high-throughput, low-latency services.
• Familiarity with AI inference patterns (LLMs, embeddings, multimodal).
• Comfortable debugging distributed systems under load.
• Bias toward shipping and learning from production behavior.

Responsibilities

• Build and operate backend systems that serve AI-powered features in production.
• Design inference pipelines, orchestration layers, and service boundaries around models.
• Own production concerns: monitoring, logging, alerting, and incident response.
• Optimize latency and throughput across inference, caching, batching, and streaming.
• Ensure backend systems run reliably at scale, handling production AI traffic with low latency and high throughput.
• Make APIs stable, clear, and supportive of seamless integration with frontend and ML systems.
• Detect, diagnose, and resolve production incidents quickly, minimizing user impact.
• Use iterative improvements based on real usage to continuously increase system performance and reliability.

Skills

Python

NodeJs

PyTorch

OpenAI / Anthropic / open-source LLMs

SQL

NoSQL

Kubernetes

Docker

Tools

Kubernetes

Docker

PyTorch

Job description

Protingent Staffing is seeking a Backend Engineer, AI (Agent Systems) for a fully remote role. You will own the inference and orchestration layer powering AI interactions, balancing latency, correctness, reliability, and cost in production environments.

You will design and operate production systems that turn model capability into fast, observable APIs used by mobile and desktop clients, driving scalable AI-powered features across the product.