AI Solutions Engineer — RAG & LLM Platform Specialist

Nxera; Singapore; On-site; Confidential; Full time

Job summary

Nxera is seeking an AI Software Engineer to design and deploy AI agents, RAG pipelines and enterprise-grade AI solutions in Singapore. The role focuses on translating business needs into scalable AI workflows and secure tool-calling capabilities.

You will collaborate with product, engineering and business teams to deliver AI-powered solutions, integrate with enterprise systems and ensure production readiness with governance and testing.

Qualifications

• Bachelor's degree in CS/AI/Data Science or related field.
• 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, develop and deploy AI agents using LLMs, RAG and prompt engineering.
• Build scalable AI workflows that automate enterprise business processes.
• Translate business requirements into practical AI solutions.
• Develop reusable prompt workflows, tool-calling capabilities and structured outputs.
• Build and optimise RAG pipelines connected to approved enterprise knowledge sources.
• Improve retrieval quality through chunking, embeddings, indexing and metadata strategies.

Skills

Python

LLM applications

RAG solutions

LangChain

LangGraph

LlamaIndex

API integration

Vector databases

Git & CI/CD

Containerization

Education

Bachelor's Degree in Computer Science, AI, Data Science or related

Tools

LangChain

LangGraph

LlamaIndex

Git

Docker

Job description

Nxera is seeking an AI Software Engineer to design and deploy AI agents, RAG pipelines and enterprise-grade AI solutions in Singapore. The role focuses on translating business needs into scalable AI workflows and secure tool-calling capabilities.

You will collaborate with product, engineering and business teams to deliver AI-powered solutions, integrate with enterprise systems and ensure production readiness with governance and testing.