AI Transformation Lead

eTeam; Kuala Lumpur; On-site; MYR 240,000 - 360,000; Full time

Job summary

eTeam seeks an experienced Lead AI Engineer / Forward Deployed AI Engineer to design, develop, deploy, and scale enterprise‑grade Generative AI solutions. You will drive production‑grade GenAI apps, collaborate with stakeholders, and own end‑to‑end delivery from backend services to UI layers.

The role requires 10+ years in software engineering with 2+ years in GenAI, and hands‑on experience building scalable, secure AI applications using modern stacks and orchestration tools.

Qualifications

• 10+ years of professional full‑stack software development and systems engineering.
• At least 2 years deploying production‑grade Generative AI apps.
• Strong Python backend skills (FastAPI/Flask).
• Experience with React/TypeScript, Streamlit, Chainlit or equivalents.
• Hands‑on with LangGraph, AutoGen, CrewAI or custom state machines.
• Knowledge of enterprise RAG architectures, embeddings, vector search & retrieval.
• Experience with vector databases like Qdrant/Milvus/Pinecone/Chroma.
• Familiar with Docker, Kubernetes, CI/CD, testing & production deployment.
• Understanding of data integration (ETL, SQL/NoSQL) and enterprise systems.
• Familiar with LLM evaluation frameworks, safety guardrails, and attribution.

Responsibilities

• Design, develop, and deploy end‑to‑end GenAI and Agentic AI apps for enterprise use cases.
• Build scalable backend services and APIs with Python and modern frontend tech (React/TS).
• Develop multi‑agent AI workflows using LangGraph, AutoGen, CrewAI, or custom state machines.
• Design enterprise RAG systems with advanced retrieval and vector databases.
• Create AI‑driven solutions for automation, planning, cost estimation, and reporting.
• Implement evaluation, safety, citations, and human‑in‑the‑loop validation.
• Integrate AI apps with databases, repos, APIs, and business systems; ensure security & scalability.
• Deploy and maintain production apps using Docker, Kubernetes, CI/CD, and cloud infra.

Skills

Python

FastAPI/Flask

React

TypeScript

LangGraph

AutoGen

CrewAI

RAG architectures

Vector DBs

Docker

Kubernetes

CI/CD

LLM evaluation

Tools

Streamlit

Chainlit

Qdrant

Milvus

Pinecone

Chroma

Job description

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.