Backend Engineer - AI Agent Platform

Tgjapan — Japan · Posted ~6 hours ago

Senior Visa History ✓

Skills

Python Backend Engineering Distributed Systems High-Scale Production Services API Integration AI/ML Systems Retrieval Systems Observability Security Go Java APIs AI/ML Search

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

Help build infrastructure for next-generation AI agents that can understand intent, interact with complex APIs, retrieve fresh information, and execute multi-step workflows safely. You will design scalable backend services, distributed systems, retrieval and grounding capabilities, security safeguards, and production monitoring. Strong Python expertise is required; Go or Java is a plus.

Highlights

Build production infrastructure for next-generation AI agents, including scalable backend services, secure API integrations, retrieval systems, safeguards, monitoring, and observability. The role emphasizes reliability, latency, and cost optimization.

Description

We’re looking for an experienced Backend Engineer for our clients to help build the infrastructure behind next-generation AI agents for commerce. You’ll work on systems that enable AI agents to understand user intent, interact with complex business APIs, retrieve real-time product information, and safely execute multi-step actions. What you’ll do Build scalable backend services for AI-powered agents and workflowsDevelop secure tool/API integrations for commerce and transactional systemsSolve large-scale retrieval, grounding, and data freshness challengesDesign safeguards including authorization, idempotency, rollback, and auditabilityBuild evaluation, monitoring, and observability for production AI systemsOptimize AI applications for latency, reliability, and cost What we’re looking for 5+ years of backend engineering experienceStrong Python skills; Go/Java is a plusExperience with distributed systems and high-scale production servicesBackground in ML-powered systems such as search, recommendation, ranking, personalization, or riskHands-on experience deploying LLM/AI systems to productionUnderstanding of AI agents, tool calling, orchestration, and multi-turn workflowsExperience with Kubernetes, CI/CD, cloud infrastructure, and IaC Location: Tokyo, Japan (Hybrid) Salary: Around ¥7M–¥10M