AI Engineer

Talent-Merge; Singapore; On-site; SGD 106,000 - 117,000; Full time

Job summary

Talent-Merge is seeking a skilled AI/ML software engineer to design and deliver Generative AI solutions within a cloud-based environment in Singapore. You will collaborate with internal teams to identify automation opportunities and build scalable systems.

The role requires hands-on experience with TypeScript, C#, ML pipelines, AWS, and modern AI frameworks. You will also work on data prep, model integration, and user-facing interfaces to enable business outcomes.

Qualifications

• Degree in CS/CE/AI/DS/ML or related field.
• Hands-on experience building AI/ML apps and Generative AI in cloud-based systems.
• Strong knowledge of LLM frameworks, RAG, vector databases, prompt engineering and multi-agent tech.
• Proficiency in TypeScript, C#, SQL, Git, FastAPI/Flask, Express.js/React/Vue.js, Docker and Kubernetes.
• Familiar with data visualization tools like Power BI/Tableau/Qlik/MicroStrategy.

Responsibilities

• Evaluate business processes with internal departments to identify AI-driven opportunities.
• Architect and deliver scalable Generative AI/ML solutions to streamline workflows.
• Enhance AI apps and automation platforms using advanced data science techniques.
• Investigate AI developments (LLMs, predictive modelling, NLP) for potential applications.
• Prepare and transform complex data for reliable AI model development.
• Engineer backend systems, APIs and integration for AI models and enterprise apps.
• Construct responsive web interfaces for interacting with AI-powered tools and systems.
• Use RAG, vector search, embeddings and context engineering to improve outputs.
• Manage cloud-hosted AI solutions and containerized environments for stability and security.
• Test, assess performance and troubleshoot with stakeholders to meet business outcomes.

Skills

TypeScript

C#

SQL

Git

FastAPI

Flask

Express.js

React

Vue.js

LangChain

LangGraph

DeepAgents

Education

Bachelor's Degree in Computer Science / Computer Engineering / AI / DS / ML

Tools

Docker

Kubernetes

AWS

Job description

Salary Range: S$9,500 - S$10,500

Job Responsibilities

• Workwith internal departments to evaluate business processes and uncoveropportunities for AI-driven innovation and automation.
• Architectand deliver scalable Generative AI and Machine Learning solutions tostreamline workflows, enhance productivity and support businessdecision-making.
• Enhanceexisting AI applications and intelligent automation platforms byincorporating advanced data science techniques and agent-based AIcapabilities.
• Investigatenew developments in Artificial Intelligence, including Large LanguageModels (LLMs), predictive modelling, anomaly detection and naturallanguage processing, to identify potential applications.
• Processand organise complex datasets through data preparation, transformation andfeature engineering to support reliable AI model development.
• Engineerrobust backend systems, APIs and integration components to enableefficient communication between AI models and enterprise applications.
• Constructresponsive web-based interfaces that allow users to interact effectivelywith AI-powered tools and intelligent systems.
• LeverageRetrieval-Augmented Generation (RAG), vector search, embeddings andcontext engineering techniques to improve the accuracy and relevance ofAI-generated outputs.
• Administercloud-hosted AI solutions and containerised environments, ensuring systemstability, security compliance and effective deployment.
• Conductapplication testing, performance assessments and technical troubleshootingwhile coordinating with stakeholders to refine AI solutions and achievedesired business outcomes.

Job Requirements

• Bachelor'sDegree in Computer Science, Computer Engineering, Artificial Intelligence,Data Science, Machine Learning or a related technical discipline.
• Hands-onexperience in developing AI/ML applications, Generative AI solutions andcloud-based systems, preferably using AWS, with exposure to end-to-endsoftware development.
• Solidknowledge of LLM frameworks, RAG implementations, vector databases, promptengineering, context optimisation and multi-agent technologies such asLangChain, LangGraph or DeepAgents.
• Technicalproficiency in programming and web development technologies, includingTypeScript, C#, SQL, Git, FastAPI, Flask, Express.js, React, Vue.js,Docker and Kubernetes, with familiarity in data visualisation toolssuchas Power BI, Tableau, Qlik or MicroStrategy.
• Strongproblem-solving, interpersonal and communication abilities, with aproactive approach to learning emerging technologies and explainingtechnical concepts to business stakeholders.

Clarence Khoh
R1552376