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Regional Field AI Development Engineer (Global Tech | LLM & Agent Solutions | Enterprise | 5-8m Bonus)

Adecco

14 ч назад

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Regional Field AI Development Engineer (Global Tech | LLM & Agent Solutions | Enterprise | 5-8m Bonus)
Компания: Adecco
Город: Kuala Lumpur
Our client is a global technology leader building a fully connected, intelligent world—driven by strong R&D and innovation in cloud, AI, and more across 100+ countries.
**Role Summary**
You will connect complex enterprise business needs with next-generation agentic AI. You will architect and build tailored demos and POC to prove the business value of the Enterprise AI stack—including Agent Engine frameworks, ModelArts, and AI infrastructure—for tier-1 clients, system integrators, and strategic partners across APAC.
**Core Responsibilities**
* Build and maintain impactful **AI Agent** demos for key sectors like Banking & Financial Services, Public Sector, Energy, or Telecom.
* Turn complex operational problems into visual multi-agent workflows, Retrieval-Augmented Generation (RAG) pipelines, and Model Context Protocol (MCP) / tool integrations.
* Run live coding, configuration demos, and technical pitches for C-level executives, enterprise architects, and developers.
* Lead full-lifecycle technical POCs for priority deals throughout APAC.
* Partner with sales teams and client stakeholders to define project scope, evaluation matrices, and technical KPIs (accuracy benchmarks and latency targets).
* Deploy, configure, and tune enterprise AI Agent platforms, vector databases, and **LLM** orchestration engines across on-premise, hybrid, and private cloud environments.
* Co-create custom Agent Skills, SDK extensions, and integration hooks for core enterprise systems.
* Optimize agent performance, token usage, and inference speed on the NPUs using PyTorch.
* Channel frontline deployment insights, technical friction points, and client feature requests directly to the R&D and product teams.
**Requirements**
* **Education:** Bachelor’s degree or higher in Computer Science, Software Engineering, AI, or a related quantitative field.
* **Experience:** 3+ years in solutions engineering, technical presales, AI/software architecture, or Developer Relations (DevRel) within enterprise IT or cloud.
* **Agent & LLM Stack:** Hands-on experience with modern AI Agent frameworks and orchestration concepts (multi-agent workflows, RAG, function calling, tool use).
* **Software Engineering:** Strong Python skills (plus TypeScript, Go, or Java) with experience in REST APIs, microservices, Docker/Kubernetes, and Linux.
* **Infrastructure & Hardware:** Knowledge of LLM deployment, quantization/fine-tuning (SFT/LoRA), and GPU/NPU acceleration.

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