AI/ML Engineer

Tech Aalto Pte ltd; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

Tech Aalto Pte ltd seeks an experienced AI/ML Engineer to design, implement, and optimize prompt strategies for cutting-edge large language models. You will build RAG datasets, fine-tune models, and apply RLHF to improve agent decisions.

You will deploy AI agents using Vertex AI, PaLM, and Gemini, collaborating with cross-functional teams to define architecture, orchestration, and evaluation frameworks. Proficient in Python and major ML frameworks is essential.

Qualifications

• Minimum 3 years of experience in AI/ML engineering.
• Strong understanding of Large Language Models (LLMs).
• Experience with prompt engineering and prompt optimization.
• Hands-on experience with RAG architectures.
• Experience fine-tuning foundation models using domain-specific datasets.
• Practical experience applying RLHF techniques.
• Knowledge of transformer-based architectures.

Responsibilities

• Design, develop, and optimize prompt engineering strategies for large language models.
• Build and curate high-quality datasets for RAG and model fine-tuning.
• Fine-tune large language models using domain-specific datasets.
• Apply RLHF techniques to improve model accuracy and agent decision-making.
• Design, develop, and deploy AI agents using Vertex AI, PaLM, and Gemini.
• Collaborate with engineering teams to define agent architecture, orchestration strategies, and evaluation frameworks.
• Implement Agent-to-Agent (A2A) communication and orchestration mechanisms.
• Standardize agent interactions using the MCP.
• Develop and maintain scalable machine learning pipelines.
• Evaluate model performance and implement continuous optimization strategies.
• Conduct experiments involving prompt tuning, chain-of-thought reasoning, and agent workflows.
• Stay current with the latest developments in generative AI, agent frameworks, and LLM optimization techniques.

Skills

Prompt Engineering

LLM Fine-Tuning

RAG Dataset Curation

RLHF

Agent Architecture

A2A Protocols

MCP

Vertex AI

PaLM

Gemini

Python

TensorFlow

JAX

PyTorch

LoRA

PEFT

Quantization

Prompt Tuning

Chain-of-Thought Reasoning

Tools

Vertex AI

PaLM

Gemini

ADK

Agentspace

Model Context Protocol (MCP)

A2A Protocols

Job description

Role Overview

We are seeking for our client an experiencedAI/ML Engineerwith strong expertise inLarge Language Models (LLMs), Agentic AI, prompt engineering, model fine-tuning, Reinforcement Learning from Human Feedback (RLHF), Retrieval-Augmented Generation (RAG), and agent orchestration frameworks.
The ideal candidate will have hands-on experience building, fine-tuning, and optimizing AI agents using client's AI ecosystem, includingVertex AI, PaLM, and Gemini. This role requires a deep understanding of transformer architectures, prompt optimization techniques, model evaluation, and emerging agent communication protocols.
The successful candidate will collaborate with cross-functional teams to design, develop, evaluate, and deploy next-generation AI solutions for complex business use cases.

Key Responsibilities

• Design, develop, and optimize prompt engineering strategies for large language models.
• Build and curate high-quality datasets for Retrieval-Augmented Generation (RAG) and model fine-tuning.
• Fine-tune large language models using domain-specific datasets.
• Apply RLHF techniques to improve model accuracy and agent decision-making.
• Design, develop, and deploy AI agents using Vertex AI, PaLM, and Gemini.
• Collaborate with engineering teams to define agent architecture, orchestration strategies, and evaluation frameworks.
• Implement Agent-to-Agent (A2A) communication and orchestration mechanisms.
• Standardize agent interactions using the Model Context Protocol (MCP).
• Develop and maintain scalable machine learning pipelines.
• Evaluate model performance and implement continuous optimization strategies.
• Conduct experiments involving prompt tuning, chain-of-thought reasoning, and agent workflows.
• Stay current with the latest developments in generative AI, agent frameworks, and LLM optimization techniques.

Required Skills and Qualifications

AI/ML Expertise

• Minimum 3 years of experience in AI/ML engineering.
• Strong understanding of Large Language Models (LLMs).
• Experience with prompt engineering and prompt optimization.
• Hands-on experience with RAG architectures.
• Experience fine-tuning foundation models using domain-specific datasets.
• Practical experience applying RLHF techniques.
• Knowledge of transformer-based architectures.

Agentic AI Frameworks

Experience with:

• Agent Development Kit (ADK)
• Agentspace
• Agent-to-Agent (A2A) protocols
• Model Context Protocol (MCP)

Model Optimization Techniques

Knowledge of:

• LoRA (Low-Rank Adaptation)
• Quantization
• PEFT (Parameter-Efficient Fine-Tuning)
• Prompt tuning
• Chain-of-thought methodologies

Programming Skills

Strong programming experience in:

• Python
• TensorFlow
• JAX
• PyTorch

Language Requirement

• Fluent Chinese language skills are mandatory.
• Ability to communicate effectively with Chinese-speaking stakeholders and technical teams.

Primary Skills

• Prompt Engineering
• RAG Dataset Curation
• LLM Fine-Tuning
• RLHF
• Vertex AI
• PaLM
• Gemini
• Agent Architecture
• Agent Evaluation
• MCP
• A2A
• ADK
• Agentspace
• Python
• TensorFlow
• JAX
• PyTorch
• LoRA
• PEFT
• Quantization
• Prompt Tuning
• Chain-of-Thought Reasoning

Preferred Qualifications

• Experience building production-grade AI applications.
• Experience developing and deploying AI agents at scale.
• Exposure to enterprise AI implementations.
• Experience working in cloud-based machine learning environments.

If you are passionate about building next-generation AI solutions and have hands-on experience with LLMs and Agentic AI frameworks, we would love to hear from you.