AI Engineer

TALENT-MERGE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TALENT-MERGE PTE. LTD. is seeking an experienced AI/ML professional to architect and deliver scalable generative AI solutions and cloud-based systems. The role emphasizes end-to-end development, LLMs, and advanced data science techniques.

You will collaborate with internal teams to optimize processes, assess AI opportunities, and deploy robust AI-driven platforms for enterprise use.

Qualifications

• Degree in a technical discipline as listed.
• Hands-on experience in AI/ML applications and cloud systems.
• Solid knowledge of LLM frameworks, RAG, vector databases, and multi-agent tech.

Responsibilities

• Evaluate business processes to identify AI-driven opportunities.
• Architect and deliver scalable Generative AI and ML solutions.
• Enhance AI applications with advanced data science techniques.
• Explore LLM trends and potential applications.
• Prepare data through transformation and feature engineering.
• Build robust backend systems and APIs for AI tools.
• Create responsive web interfaces for AI-powered tools.
• Apply RAG, vector search, embeddings to improve outputs.
• Manage cloud-hosted AI solutions and container environments.
• Test, assess performance, and coordinate with stakeholders.

Skills

Generative AI

Machine Learning

End-to-end development

LLM frameworks

Prompt engineering

Multi-agent tech

Problem solving

Communication with stakeholders

Education

Bachelor's Degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Machine Learning

Tools

LangChain

LangGraph

DeepAgents

Docker

Kubernetes

TypeScript

C#

SQL

Git

FastAPI

Flask

Express.js

React

Vue.js

Power BI

Tableau

Job description

Job Responsibilities

• Work with internal departments to evaluate business processes and uncover opportunities for AI-driven innovation and automation.
• Architect and deliver scalable Generative AI and Machine Learning solutions to streamline workflows, enhance productivity and support business decision-making.
• Enhance existing AI applications and intelligent automation platforms by incorporating advanced data science techniques and agent-based AI capabilities.
• Investigate new developments in Artificial Intelligence, including Large Language Models (LLMs), predictive modelling, anomaly detection and natural language processing, to identify potential applications.
• Process and organise complex datasets through data preparation, transformation and feature engineering to support reliable AI model development.
• Engineer robust backend systems, APIs and integration components to enable efficient communication between AI models and enterprise applications.
• Construct responsive web-based interfaces that allow users to interact effectively with AI-powered tools and intelligent systems.
• Leverage Retrieval-Augmented Generation (RAG), vector search, embeddings and context engineering techniques to improve the accuracy and relevance of AI-generated outputs.
• Administer cloud-hosted AI solutions and containerised environments, ensuring system stability, security compliance and effective deployment.
• Conduct application testing, performance assessments and technical troubleshooting while coordinating with stakeholders to refine AI solutions and achieve desired business outcomes.

Job Requirements

• Bachelor's Degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Machine Learning or a related technical discipline.
• Hands-on experience in developing AI/ML applications, Generative AI solutions and cloud-based systems, preferably using AWS, with exposure to end-to-end software development.
• Solid knowledge of LLM frameworks, RAG implementations, vector databases, prompt engineering, context optimisation and multi-agent technologies such as LangChain, LangGraph or DeepAgents.
• Technical proficiency in programming and web development technologies, including TypeScript, C#, SQL, Git, FastAPI, Flask, Express.js, React, Vue.js, Docker and Kubernetes, with familiarity in data visualisation tools such as Power BI, Tableau, Qlik or MicroStrategy.
• Strong problem-solving, interpersonal and communication abilities, with a proactive approach to learning emerging technologies and explaining technical concepts to business stakeholders.

Clarence Khoh
R1552376