AI Solutions Engineer

Singtel Group singtel.com Open · verified Sep 25, 2026

Nxera Mid-level Solutions & Sales Engineering

At a glance

Mid-level Solutions & Sales Engineering role at Singtel Group. Nxera.

Pay not stated

RoleSolutions & Sales Engineering

SeniorityMid-level

LocationNxera

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

Design, build and launch AI agents with LLMs, RAG and prompt engineering for enterprise workflows
Turn business needs into practical AI applications with reusable prompts, tool calls and structured outputs
Improve retrieval by tuning chunking, embeddings, indexing and metadata across approved knowledge sources
Connect AI applications to APIs, databases, enterprise systems and internal platforms, then support production deployment
Measure response quality, retrieval accuracy and hallucination risk while supporting guardrails, governance and human review

What you bring

A bachelor's degree in computer science, artificial intelligence, data science or a related discipline
Three to five years of Python software engineering experience
Hands-on delivery of LLM applications, AI agents or RAG solutions using frameworks such as LangChain, LangGraph or LlamaIndex
Experience connecting APIs, databases and enterprise systems, plus familiarity with vector databases, semantic search and prompt engineering
Working knowledge of Git, CI/CD and container technologies

Who this fits

This role suits a mid-level software engineer who can build production AI solutions and explain technical ideas to both technical and non-technical stakeholders. You’ll work with product, engineering and business teams and support demos, UAT, rollout and documentation. The role is based in Nxera, Singapore.

From the employer

Passionate about making a real impact? Be at the forefront of the data centre (DC) industry with a unique focus on sustainability, connectivity and AI which sets us apart as the next generation DC operator. You will also get to gain invaluable experience in a fast-growing industry that is powering the digitalisation wave. Be empowered to co-create the future with our dynamic teams!”

We are seeking an AI Solutions Engineer (Agentic AI) to design, build and deploy enterprise AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and AI Agents. You will develop production-ready AI applications that automate knowledge-intensive workflows, integrate with enterprise systems and deliver secure, scalable and trustworthy AI experiences.

How You will Make An Impact:

AI Solution Development

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.

Knowledge & RAG Engineering

Build and optimise RAG pipelines connected to approved enterprise knowledge sources.
Improve retrieval quality through chunking, embeddings, indexing and metadata strategies.
Maintain trusted knowledge bases and ensure source-grounded AI responses.

AI Platform & Integration

Integrate AI applications with enterprise systems, APIs, databases and internal platforms.
Develop secure tool-calling capabilities and support deployment into production.
Monitor and optimise AI application performance.

Model Quality & Governance

Design evaluation frameworks to measure response quality, retrieval accuracy and hallucination risks.
Optimise prompts, guardrails and model performance.
Support governance, version control and human-in-the-loop review processes.

Stakeholder Collaboration

Partner with product, engineering and business teams to deliver AI solutions.
Support demonstrations, UAT, production rollout and technical documentation.
Communicate technical concepts clearly to technical and non-technical stakeholders.

Skills for Success:

Bachelor's Degree in Computer Science, Artificial Intelligence, 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.

Preferred Skills:

Experience with Azure OpenAI, AWS Bedrock or Google Vertex AI.
Knowledge of MCP (Model Context Protocol) or AI agent orchestration.
Experience deploying open-source LLMs (e.g. vLLM, Ollama).
Exposure to MLOps, model fine-tuning or domain adaptation.