Deskripsi Pekerjaan
Are you a visionary engineer passionate about the next frontier of artificial intelligence? Luxoft is seeking an elite AI Agent Architect to join our innovative team in George Town, Penang. In this pivotal role, you will design, develop, and scale autonomous agentic systems that transform business operations through intelligent automation.
As an AI Agent Architect, you will lead the technical strategy for multi-agent workflows, bridging the gap between cutting-edge research and enterprise-grade deployment. You will work within a collaborative environment, utilizing the latest agentic frameworks to build sophisticated, goal-oriented AI ecosystems that solve complex, real-world challenges.
If you are a problem-solver who thrives on building scalable AI architectures and staying ahead of the curve in LLM orchestration, we want to hear from you. Join us in shaping the future of AI technology at one of the world's leading digital transformation consultancies.
Tanggung Jawab
- Architect and implement autonomous AI agents capable of reasoning, planning, and executing multi-step business tasks.
- Design and maintain high-performance orchestration pipelines using LangChain, AutoGen, or CrewAI.
- Integrate Large Language Models (LLMs) with enterprise data sources and custom API infrastructures.
- Collaborate with cross-functional product and engineering teams to identify automation opportunities.
- Develop robust testing and evaluation frameworks to ensure the reliability and safety of agentic outputs.
- Optimize system performance, latency, and token efficiency for large-scale production deployments.
- Mentor junior engineering staff on best practices for Prompt Engineering and AI workflow design.
Kualifikasi
- Bachelor’s or Master’s degree in Computer Science, AI, Robotics, or a related quantitative field.
- Proven professional experience in building and deploying Agentic AI architectures.
- Deep hands-on proficiency with frameworks such as LangChain, AutoGen, CrewAI, or Microsoft Semantic Kernel.
- Strong foundational knowledge in Python and experience with asynchronous programming.
- Experience working with vector databases (Pinecone, Milvus, Weaviate) and RAG (Retrieval-Augmented Generation) patterns.
- Demonstrated ability to debug and optimize complex LLM chains and prompt workflows.
- Strong analytical mindset with the ability to translate ambiguous business requirements into technical AI roadmaps.