Ai Development

Lead AI Engineer / Forward Deployed AI Engineer (FDE)

Location: Kuala Lumpur, Malaysia

Duration: Permanent

Employment Type: Full-time

Experience Required: 10+ years in software engineering, including at least 2 years of production-grade Generative AI experience

Job Overview

We are seeking a seasoned Lead AI Engineer / Forward Deployed AI Engineer to architect, develop, implement, and optimize enterprise-level Generative AI (GenAI) and Agentic AI solutions.

The successful candidate will merge extensive software engineering skills with practical experience in creating production-ready AI applications. You will collaborate closely with business leaders, subject matter experts, UX designers, and enterprise architects to convert intricate business challenges into secure, scalable, and dependable AI-driven solutions.

Key Responsibilities

• Architect, build, and deploy comprehensive Generative AI and Agentic AI applications tailored for enterprise scenarios.
• Create scalable backend services and APIs utilizing Python, FastAPI, or Flask, along with contemporary frontend technologies like React and TypeScript.
• Design multi-agent AI workflows leveraging LangGraph, AutoGen, CrewAI, or custom orchestration frameworks.
• Devise and execute enterprise Retrieval-Augmented Generation (RAG) systems employing vector databases and sophisticated retrieval methodologies.
• Develop AI-enabled solutions for engineering automation, project foresight, cost analysis, operational risk assessment, and automated reporting.
• Establish LLM evaluation frameworks, implement safety measures, manage source citations, and validate processes with human oversight.
• Integrate AI applications with enterprise databases, document storage systems, APIs, and existing business infrastructures.
• Deploy and sustain production applications using Docker, Kubernetes, CI/CD pipelines, and cloud platforms.
• Engage with technical and non-technical stakeholders to collect requirements, showcase solutions, and convert business objectives into technical outputs.
• Deliver functional software through agile development cycles, ongoing testing, user input, and iterative refinements.
• Ensure that solutions comply with enterprise standards for security, reliability, scalability, traceability, and performance.

Required Skills and Qualifications

• At least 10 years of professional experience in full-stack software development and systems engineering.
• A minimum of 2 years of direct experience deploying and maintaining production-grade Generative AI applications.
• Expertise in Python and backend frameworks such as FastAPI or Flask.
• Familiarity with frontend technologies such as React, TypeScript, Streamlit, Chainlit, or similar.
• Hands-on experience in developing Agentic AI workflows using LangGraph, AutoGen, CrewAI, or custom state-machine designs.
• Comprehensive knowledge of enterprise RAG architectures, embeddings, vector search, retrieval enhancement, and reranking techniques.
• Experience with vector databases including Qdrant, Milvus, Pinecone, Chroma, or comparable technologies.
• Solid understanding of relational and NoSQL databases, data pipelines, ETL processes, and enterprise data integration.
• Proficiency in Docker, Kubernetes, CI/CD, automated testing, and best practices for production deployment.
• Acquaintance with LLM evaluation frameworks such as Ragas or TruLens, as well as safety protocols, source attribution, and human-in-the-loop processes.
• Exceptional problem-solving abilities and system design skills.