Senior AI Developer

Smartidea Pte Ltd; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Smartidea Pte Ltd is seeking a senior AI practitioner to deploy and orchestrate AI capabilities into production-ready workflows. You will work hands-on with frontier models, turning them into reliable systems for real-world problems.

The role focuses on building AI-powered automation, agent systems, and integrations using Python and modern AI tooling, with emphasis on practical implementation over model training.

Qualifications

• 5+ years in software or AI engineering.
• Hands-on with LLMs: agents, prompts, RAG, workflows.
• Experience with Claude, Gemini, ChatGPT or equivalents.
• Proficient in Python for API integrations.
• Ability to compare AI tools critically.
• Strong debugging and logical thinking.
• Clear communicator to non-tech stakeholders.
• Familiar with LangChain, LlamaIndex, AutoGen, Claude Agent SDK, or n8n.
• Exposure to MCP and custom AI tool integrations.
• Experience with vector databases and embedding workflows.

Responsibilities

• Design AI-powered workflows and agent systems.
• Deploy AI agents using Claude/Gemini/LLMs.
• Develop prompts and system instructions.
• Build and maintain RAG pipelines and embeddings.
• Evaluate outputs and iterate on prompts and tool configs.
• Integrate AI capabilities into products via APIs.

Skills

LLMs

Prompt engineering

RAG

Python

APIs

Debugging AI

Communication

LangChain

LlamaIndex

AutoGen

Claude SDK

N8N

MCP

Vector DBs

Job description

About the role

This is an AI builder role focused on deploying and orchestrating AI capabilities, not building or training AI models. We are looking for a senior practitioner (5+ years of experience) who is deeply hands-on with AI tools and can design, build, and iterate on AI-powered workflows, agents, and integrations.

You will not be researching, training, or fine-tuning AI models. Instead, you will be the person who takes existing frontier AI models and turns them into reliable, production-ready systems that solve real problems.

Key responsibilities

• Design and build AI-powered workflows, automation pipelines, and agentic systems using AI-native platforms and APIs

• Configure and deploy AI agents using Claude, Gemini, or equivalent LLMs - including tool use, memory, and multi-step reasoning

• Engineer prompts and system instructions that produce reliable, structured, production-ready AI outputs

• Build and maintain RAG (Retrieval-Augmented Generation) setups: knowledge bases, embeddings, and retrieval pipelines

• Evaluate AI outputs, identify failure modes, and iterate on prompts, context, and tool configurations

• Integrate AI capabilities into existing products and internal tools using APIs and connectors - scripting in Python or similar as needed

• Stay ahead of the AI tooling landscape and proactively recommend better approaches as the ecosystem evolves

Requirements

• 5+ years of experience in software development or AI engineering

• Proven hands-on experience building with LLMs - agents, prompt engineering, RAG, or AI workflow automation

• Deep familiarity with AI platforms and tools: Claude, Gemini, ChatGPT, or equivalents

• Ability to evaluate and compare AI tools critically, not just use them, but know when and why to use each

• Proficient in Python or similar for API integrations, glue code, and workflow automation

• Strong logical thinking and systematic approach to debugging AI behaviour

• Clear communicator who can explain AI capabilities and limitations to non-technical stakeholders

• Experience with AI agent frameworks: LangChain, LlamaIndex, AutoGen, Claude Agent SDK, or n8n

• Familiarity with MCP (Model Context Protocol) or building custom AI tool integrations

• Exposure to vector databases (Pinecone, Weaviate, pgvector) and embedding workflows