ETeam Hiring! Full Time AI Transformation Lead in Federal Territory - Ricebowl

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 looking for an experienced Lead AI Engineer / Forward Deployed AI Engineer to design, develop, deploy, and scale enterprise-grade Generative AI (GenAI) and Agentic AI solutions.

The ideal candidate will combine strong software engineering expertise with hands-on experience building production-ready AI applications. You will work closely with business stakeholders, domain experts, UX designers, and enterprise architects to transform complex business challenges into secure, scalable, and reliable AI-powered solutions.

Key Responsibilities

• Design, develop, and deploy end-to-end Generative AI and Agentic AI applications for enterprise use cases.
• Build scalable backend services and APIs using Python, FastAPI, or Flask, alongside modern frontend technologies such as React and TypeScript.
• Develop multi-agent AI workflows using LangGraph, AutoGen, CrewAI, or custom orchestration frameworks.
• Design and implement enterprise Retrieval-Augmented Generation (RAG) systems using vector databases and advanced retrieval techniques.
• Build AI-driven solutions for engineering automation, project planning, cost estimation, operational risk analysis, and automated reporting.
• Implement LLM evaluation frameworks, safety guardrails, source citations, and human-in-the-loop validation processes.
• Integrate AI applications with enterprise databases, document repositories, APIs, and existing business systems.
• Deploy and maintain production applications using Docker, Kubernetes, CI/CD pipelines, and cloud infrastructure.
• Collaborate with technical and non-technical stakeholders to gather requirements, present solutions, and translate business needs into technical deliverables.
• Deliver working software through rapid development cycles, continuous testing, user feedback, and iterative improvements.
• Ensure solutions meet enterprise standards for security, reliability, scalability, traceability, and performance.

Required Skills and Qualifications

• Minimum 10 years of professional experience in full-stack software development and systems engineering.
• At least 2 years of hands-on experience deploying and maintaining production-grade Generative AI applications.
• Strong proficiency in Python and backend frameworks such as FastAPI or Flask.
• Experience with React, TypeScript, Streamlit, Chainlit, or similar frontend technologies.
• Practical experience developing Agentic AI workflows using LangGraph, AutoGen, CrewAI, or custom state-machine architectures.
• Strong knowledge of enterprise RAG architectures, embeddings, vector search, retrieval optimization, and reranking.
• Experience with vector databases such as Qdrant, Milvus, Pinecone, Chroma, or equivalent technologies.
• Strong understanding of relational and NoSQL databases, data pipelines, ETL, and enterprise data integration.
• Experience with Docker, Kubernetes, CI/CD, automated testing, and production deployment practices.
• Familiarity with LLM evaluation frameworks such as Ragas or TruLens, safety guardrails, source attribution, and human-in-the-loop workflows.
• Strong problem-solving, system design,