AI Engineer

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

As an AI Engineer, you will use Generative AI techniques complemented with data science modelling to develop models and products that support a range of Company's divisions across investment promotion, industry development and corporate functions. You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate user needs into technical requirements, and deliver AI and Machine Learning solutions that drive measurable outcomes.

Your roles and responsibilities include:

• Collaborating with business users to understand their key priorities and use cases
• Proposing and developing solutions using data science and/or Generative AI techniques to drive business value
• Working directly on building Company's portfolio of deployed AI applications and data science models, including our in-house agentic platform
• Researching emerging AI/data science techniques and identifying relevant ones for Company to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
• Data wrangling & analysis - preprocessing, cleaning and feature engineering
• Developing backend APIs and services to support AI model deployment and integration
• Building frontend interfaces and user experiences for AI-powered applications
• Reviewing and implementing fixes for reported security vulnerabilities

JOB REQUIREMENTS

To perform this role, you must have/ be:

• Minimum of Bachelor's Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;
• Experience in cloud platform and services preferably in AWS
• Atleast 3 years of experience in AI
• Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG), including Knowledge of vector databases and embedding techniques
• Experience with harness engineering, context engineering techniques and prompt optimization strategies
• Understanding of AI agent frameworks and multi-agent systems (e.g. LangChain, LangGraph, DeepAgents)
• Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
• Experience in Docker/Kubernetes for deploying production grade applications
• Proficient in git, SQL, modern programming languages (e.g. typescript, C#)
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)
• Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience