Agentic Systems Engineer

职位要求 / 描述

About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy.   We are looking for a Senior AI Agent Engineer with deep Java/Kotlin expertise to design and build the agentic backend layer powering Unlimit’s global financial platform. You will not just write backend services. You will design AI agents that generate, operate, validate, monitor, and evolve backend services. This role is for engineers who understand that the future of software is Human + AI co-creation, and soon — AI-to-AI collaboration. What You’ll Be Doing： • At Unlimit, backend engineering is evolving into agent engineering. • You won’t simply write Java or Kotlin services. You will design and implement AI agents that build, refactor, test, and optimize those services — agents that actively participate in the software lifecycle rather than passively assisting it. Instead of creating microservices only for human consumption, you will architect systems that are self-describing, agent-consumable, and machine-operable by design. • Your APIs will not just be called — they will be reasoned about. AI systems will understand their contracts, constraints, and behaviors. You will help construct a full pipeline from requirements to deployment, where validation agents automatically enforce PCI-DSS rules, regulatory constraints, scalability requirements, and architectural standards. Compliance will not be a checklist at the end — it will be continuously verified by intelligent systems embedded in the flow. • And it won’t stop at build-time automation. You will develop autonomous monitoring agents capable of detecting anomalies, diagnosing root causes, and triggering corrective workflows in production environments operating at global financial scale. Traditional microservices will be redesigned into agent-ready execution units — modular, observable, introspectable components that machines can safely evolve. • You will collaborate closely with DevOps, Data, and AI teams who are building their own agents, uniting these systems into a coordinated multi-agent ecosystem that powers our financial infrastructure. • The outcome is simple but transformative: your code will not only serve production. It will serve the agents that run production. Qualifications You Will Bring ： • A mindset that sees AI not as a tool, but as a new execution layer. You design systems where agents act, validate, and evolve software — not just assist humans. • Proven experience integrating LLMs, MCP servers, and multi-agent systems into real engineering workflows — not experiments, but production-oriented pipelines. • Hands-on work with frontier models such as Claude Opus 4.x, GPT-5.x Codex or similar — using them for structured reasoning, code generation, validation, orchestration, and system design. • Strong understanding of context engineering and token economics — including prompt architecture, reusable memory patterns, retrieval layers (RAG), persistent state management, and optimizing token consumption for long-horizon agent workflows.

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