GenAI Software Engineer

LAVU TECH SOLUTIONS SDN. BHD.; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

LAVU TECH SOLUTIONS SDN. BHD. in Kuala Lumpur is seeking a seasoned GenAI engineer to design and implement cutting-edge AI platforms.

You will work with LangChain, Python and modern AI tooling to deliver scalable, multi-tenant solutions while applying Agile practices.

The role emphasizes rapid prototyping, solid documentation and production support to ensure reliable, market-leading capabilities.

Qualifications

• Experience building GenAI applications and understanding GenAI knowledge such as context, tokens, completions, temperature, and RAG.
• Proficiency with LangChain, LangGraph and Python.
• Experience with NoSQL databases like MongoDB or DynamoDB.
• Familiar with CI/CD tooling, Bitbucket pipelines.
• Experience with unit testing tools (Jest/Playwright/Cypress).
• IaC experience with Terraform.
• Knowledge of Git workflows (GitHub/GitLab/Bitbucket) and branching models.
• Familiar with Agile/Lean methodologies and tools (Confluence, JIRA, SharePoint).

Responsibilities

• Build cutting-edge technology that provides 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.

Skills

GenAI concepts

LangChain

LangGraph

Python

Google ADK

Text-to-Speech / Speech-to-Speech

NoSQL databases

CI/CD (Bitbucket)

Unit testing (Jest/Playwright/Cypress)

IaC (Terraform)

Git workflows (GitHub/GitLab/Bitbucket

Agile/Lean (Confluence/JIRA/SharePoint

Tools

LangChain

LangGraph

Google ADK

MongoDB

DynamoDB

Bitbucket

Jest

Playwright

Cypress

Terraform

GitHub

GitLab

Confluence

JIRA

SharePoint

Job description

• §Experience working with building GenAI applications and have experience with GenAI Knowledge, such as. Context, Token, Completions, Temperature, RAG, Hallucination, etc.
• §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.

Responsibilities

• §Build cutting-edge technology that provides 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.