Senior AI Engineer

Base Camp Recruitment Pte Ltd; Singapore; On-site; SGD 180,000 - 240,000; Part time

Job summary

Base Camp Recruitment Pte Ltd in Singapore is seeking a Senior AI Engineer who blends deep AI expertise with product sense to own AI outcomes end-to-end. You’ll architect, deploy and optimise generative AI solutions, evaluate model performance in real user environments, and ensure robust guardrails, cost control and scalable tooling across the AI stack.

You’ll work closely with PMs, engineers and data scientists to ship reliable AI capabilities for government-related applications while

Qualifications

• Advanced degree in computer science, data science, NLP, ML or deep learning
• 8+ years of experience
• Experience fine-tuning and scaling generative AI models with transformer-based LLMs
• Experience deploying and scaling AI products in production on AWS, GCP or Azure
• Working knowledge of RAG, knowledge graphs, context engineering and prompt engineering
• Experience building evaluations and guardrails for agentic AI
• Experience with AI protocols (MCP, AG-UI, A2A, A2UI, etc.)
• Experience architecting a scalable AI tooling ecosystem

Responsibilities

• Own AI outcomes end-to-end: architecting and delivering AI solutions.
• Evaluate and optimise model performance in the hands of real users.
• Communicate tradeoffs between cost, latency and reliability.
• Scale AI products in production and address failure modes such as hallucination.
• Design clear documentation and decision records for AI systems.
• Collaborate with PMs, engineers and analysts to ship reliable AI capabilities.
• Implement guardrails and evaluations for agentic AI.

Skills

AI system design

Fine-tuning LLMs

RLHF & prompt tuning

Production AI deployment

Context engineering

Evaluation & guardrails

AI protocols MCP/AG-UI/A2A

Scalable AI tooling

Education

Advanced degree in computer science / data science / NLP / ML

Tools

AWS

GCP

Azure

RAG

Knowledge graphs

Prompt engineering

LLM deployment

Job description

What's On Offer: 1 Year Contract
Based in Singapore

Job Summary: We’re hiring Senior AI Engineers who combine deep AI expertise with strong product instinct on behalf of our client. You’ll own AI outcomes end-to-end: architecting and delivering AI solutions, then evaluating and optimising model performance in the hands of real users. Our client is building something new to make government interactions simpler and more valuable for businesses.

Job Responsibilities:

• Customer-obsessed: You talk directly to users (businessowners, accountants, agency officers) to find where models fall short in ways benchmarks miss.
• Outcome-driven: You judge success by task completion, accuracy, latency and cost per inference, not architectural elegance.
• Decisive and iterative: You make clear calls under ambiguity, ship to generate signal, instrument everything, and close the loop quickly.
• Domain expert: You’ve scaled AI products in production and design for LLM failure modes such as hallucination, context degradation, prompt injection and latency under load.
• Commercially aware: You treat cost, latency and reliability as product constraints and can articulate tradeoffs clearly.
• A force multiplier: You make AI systems legible to PMs, engineers and analysts through clear documentation, decision records and honest communication of limitations.
• Optimistic problem-solver: You treat failures and constraints as engineering problems with tractable solutions.

Job Requirements:

• Advanced degree in computer science, data science, NLP, ML or deep learning
• 8+ years of experience
• Experience fine-tuning and scaling generative AI models, with strong knowledge of transformer-based LLMs, RLHF and fine-tuning at inference scale
• Experience deploying and scaling AI products in production on AWS, GCP or Azure
• Working knowledge of RAG, knowledge graphs, context engineering and prompt engineering
• Experience building evaluations and guardrails for agentic AI
• Experience with AI protocols (MCP, AG-UI, A2A, A2UI, etc.)
• Experience architecting a scalable AI tooling ecosystem