Gen AI Engineer

LAVU TECH SOLUTIONS SDN. BHD.; Kuala Lumpur; Presencial; MYR 180.000 - 230.000; Jornada completa

Descripción de la vacante

LAVU TECH SOLUTIONS SDN. BHD. is building advanced software products that leverage GenAI and cloud-native architectures.

You will collaborate across teams to engineer features for MVPs, ensure scalable multi-tenant platforms, and deliver rapid proof-of-concepts and prototypes while prioritizing time-to-market. You will implement serverless and microservice patterns using AWS services, maintain production systems, and contribute to architectural decisions.

Formación

• Experience with AWS services and cloud architectures.
• Proficient in Node.js, ReactJS, NextJS, TypeScript.
• Knowledge of GenAI concepts, LangChain, LangGraph, Python.
• Familiar with serverless and microservice patterns in production.
• Experience with NoSQL databases (MongoDB, DynamoDB).
• CI/CD tooling and IaC (Terraform) experience.
• Experience with Git-based workflows (GitHub/GitLab/Bitbucket).
• Agile/Lean methodologies and tooling (JIRA, Confluence).
• Strong written and verbal communication skills.

Responsabilidades

• Design and build software products to solve business use cases.
• Collaborate with multiple teams and stakeholders to engineer features for MVPs.
• Develop and maintain scalable multi-tenant enterprise platforms.
• Provide production support, triage incidents, and fix defects promptly.
• Integrate GenAI capabilities into platforms and solutions.
• Document technical designs and build artifacts for maintainability.

Conocimientos

AWS stack

Serverless architecture

Microservice architecture

Node.js

ReactJS

NextJS

TypeScript

MERN stack

GenAI knowledge

LangChain

LangGraph

Python

NoSQL databases

CI/CD tooling

Terraform

Git/GitHub/GitLab/Bitbucket

WebRTC

Unit testing (Jest/Playwright/Cypress)

IaC (Infrastructure as Code)

Networking (VPC, Ingress, Egress)

Herramientas

AWS Connect

S3

SQS

SNS

API Gateway

EC2

AWS Lambda

AppSync

Kinesis

Lex

Polly

Transcribe

ECS

EKS

ECR

Descripción del empleo

Designing and building software product to meet the needs of Artificial

Intelligent solutions. You will be collaborating and working with multiple teams and business stakeholders to understand the different business use cases and engineer this into the software technical build before proceeding to build and test the software ensuring that it is a working product.

You will be responsible for…

Build cutting-edge technology that provides bolttech with a unique value proposition allowing it to become a leader in the market.

Ensure timely development of proof of concepts, and prototypes prioritizing time to market with MVP features.

Utilize Agile and Lean techniques to deliver key features quickly

Continuously research new technical capability and solutions for adoption.

Build, enhance and maintain AI solutions.

Document and elaborate on the technical design and building of the completed product.

Provide production support for the platform, perform triage and troubleshooting of incidents raised, and restore/fix defects identified in a timely manner

Build and integrate GenAI capability into platform and solution to build future-proof solutions.

Ensure the application/platform built is scalable and maintainable at a multi-tenant/international enterprise production level.

You will require the following qualifications and skills

Know-how of the AWS technology stacks and services. Familiar with other cloud providers and technology is a plus.

Experience building applications using services provided by AWS such as Connect, S3, SQS, SNS, API Gateway, EC2, AWS lambda, AppSync, Kinesis, Lex, Polly, Transcribe, ECS, EKS (is a plus), ECR, etc.

Experience on building Serverless Architecture solutions using Docker, Lambda, ECS, EKS, etc. and Microservice Architecture.

Familiar with knowledge of Networking such as VPC, Ingress, Egress, Security Group, Load Balancer.

Having certifications like AWS Solutions Architect or other equivalent is a

In depth experience working with Node.js, ReactJS, NextJS, Typescript, MERN equivalent stacks.

Having knowledge about WebRTC is a plus.

Experience working with Contact Center is a plus.

Experience working with building GenAI applications and have experience with GenAI Knowledge, such as. Context, Token, Completions, Temperature,

Experience working with LangChain, LangGraph and Python.

Experience working with Google ADK is a strong plus.

Experience working with Text-to-Speech, Speech-to-Text and Speech-to-Speech is a plus.

Experience working with NoSQL databases such as MongoDB, DynamoDB, etc.

Experience working with CI/CD tooling such as BitBucket pipeline

Experience working with Unit Testing tools such as Jest/Playwright/Cypress.

Experience working with Infrastructure-as-a-Code (IaC) such as Terraform.

Knowledge in source code repository and branching models in Git and usage of tools such as GitHub, GitLab, BitBucket etc.

Working knowledge of Agile and/or Lean methodologies along with tools such as Confluence, JIRA and Sharepoint.

Demonstrated exceptional written and verbal communication skills.