AI Engineer: Generative AI, LLM & Data Solutions

HCL Technologies Limited; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

HCL Technologies Limited in Singapore seeks an AI Engineer to design and deliver AI/ML solutions across divisions. You’ll partner with stakeholders to translate needs into technical requirements and deploy AI apps and data science models on our in-house platform.

You will explore emerging AI techniques, wrangle data, build APIs, and create frontend interfaces for AI-powered products, while addressing security concerns and collaborating with cross-functional teams.

Qualifications

• Bachelor’s degree in CS/CE/ML/AI or related field.
• Experience with AWS cloud platforms and services.
• At least 3 years in AI.
• Familiar with LLM concepts, embeddings and vector DBs.
• Knowledge of agent paradigms (LangChain, LangGraph, DeepAgents).
• Experience with full-stack web development and REST APIs.

Responsibilities

• Collaborate with business users to understand priorities and use cases.
• Propose and develop AI/DS solutions to drive business value.
• Build and maintain deployed AI apps and data models, incl. in-house platform.
• Research emerging AI/DS techniques for adoption and exploration.
• Data wrangling, preprocessing, cleaning and feature engineering.
• Develop backend APIs and services for AI model deployment and integration.
• Build frontend interfaces and user experiences for AI apps.
• Review and fix security vulnerabilities in systems.

Skills

AI/ML experience

Cloud AWS

LLM concepts

Prompt optimization

Agent frameworks

RESTful APIs

Frontend UI/UX

Git

SQL

Data wrangling

Education

Bachelor’s Degree in Computer Science / Computer Engineering / ML / AI

Tools

LangChain

LangGraph

DeepAgents

Docker

Kubernetes

FastAPI

Flask

Express.js

React

Vue.js

TypeScript

SQL

Git

Vector databases

Embeddings

Tableau

Qlik

PowerBI

Microstrategy

Job description

HCL Technologies Limited in Singapore seeks an AI Engineer to design and deliver AI/ML solutions across divisions. You’ll partner with stakeholders to translate needs into technical requirements and deploy AI apps and data science models on our in-house platform.

You will explore emerging AI techniques, wrangle data, build APIs, and create frontend interfaces for AI-powered products, while addressing security concerns and collaborating with cross-functional teams.