AI Solutions Engineer: Enterprise LLM & RAG Architect

NXERA SG PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

NXERA SG PTE. LTD. is seeking an AI Solutions Engineer to design, build and deploy enterprise AI solutions using LLMs, RAG and AI Agents. You will develop production-ready AI applications that automate knowledge-intensive workflows and integrate with enterprise systems.

The role focuses on creating scalable AI workflows, improving retrieval quality, and ensuring model governance with stakeholder collaboration for production rollouts.

Qualifications

• Bachelor's Degree in Computer Science, AI, Data Science or related discipline.
• 3-5 years of software engineering experience with Python.
• Hands-on experience building LLM applications, AI Agents or RAG solutions.
• Experience with LangChain, LangGraph, LlamaIndex or similar AI frameworks.
• Experience integrating APIs, databases and enterprise systems.
• Knowledge of vector databases, semantic search and prompt engineering.
• Experience with Git, CI/CD and container technologies.

Responsibilities

• Design, build and deploy enterprise AI solutions using LLMs, RAG and AI Agents.
• Develop production-ready AI applications that automate knowledge-intensive workflows.
• Integrate AI solutions with enterprise systems and APIs.
• Create reusable prompt workflows, tool-calling capabilities and structured outputs.
• Build and optimize RAG pipelines connected to enterprise knowledge sources.
• Monitor and improve AI application performance and governance.

Skills

Python

LLM applications

AI Agents

RAG solutions

Prompt engineering

Git

CI/CD

Container technologies

Education

Bachelor's Degree in Computer Science

Bachelor's Degree in Artificial Intelligence

Bachelor's Degree in Data Science

Tools

LangChain

LangGraph

LlamaIndex

APIs

Databases

Vector databases

Semantic search

Open-source LLMs

MLOps tooling

Job description

NXERA SG PTE. LTD. is seeking an AI Solutions Engineer to design, build and deploy enterprise AI solutions using LLMs, RAG and AI Agents. You will develop production-ready AI applications that automate knowledge-intensive workflows and integrate with enterprise systems.

The role focuses on creating scalable AI workflows, improving retrieval quality, and ensuring model governance with stakeholder collaboration for production rollouts.