Generative AI Engineer & Enterprise Solutions Architect

FLINTEX CONSULTING PTE. LTD.; Singapore; On-site; SGD 90,000 - 180,000; Full time

Job summary

FLINTEX CONSULTING PTE. LTD. seeks an AI Specialist to design, develop, and implement AI-driven solutions across business functions.

You will collaborate with stakeholders to identify automation opportunities, build Generative AI applications, and leverage data analytics to improve decision-making. The role requires 3–8 years in AI/ML, strong Python skills, and experience with LLMs, RAG, vector databases, and cloud platforms.

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, Software Engineering or related discipline.
• 3–8 years of experience in AI, ML or Data Science.
• Strong programming skills in Python.
• Hands-on with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with LLMs, prompt engineering, and Generative AI.
• Knowledge of RAG architecture, embeddings, and vector databases (FAISS, ChromaDB, Pinecone).
• Familiarity with SQL, REST APIs, Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).
• Experience integrating AI into enterprise applications.

Responsibilities

• Design, develop, and deploy AI and ML solutions to address business challenges.
• Build Generative AI applications using LLMs.
• Develop AI-powered chatbots, virtual assistants and automation solutions.
• Implement RAG solutions using vector databases.
• Gather requirements and translate into AI use cases.
• Develop, test, and optimize prompts for enterprise AI.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

LLMs

Prompt engineering

RAG architecture

Embeddings

Vector databases

LangChain

LlamaIndex

SQL

REST APIs

Docker

Kubernetes

AWS

Azure

GCP

Enterprise integration

Education

Bachelor's degree in Computer Science / AI / Data Science / Software Engineering

Tools

FAISS

ChromaDB

Pinecone

LangChain

LlamaIndex

Job description

FLINTEX CONSULTING PTE. LTD. seeks an AI Specialist to design, develop, and implement AI-driven solutions across business functions.

You will collaborate with stakeholders to identify automation opportunities, build Generative AI applications, and leverage data analytics to improve decision-making. The role requires 3–8 years in AI/ML, strong Python skills, and experience with LLMs, RAG, vector databases, and cloud platforms.