AI/ML Engineer(LLM & Agentic AI)

TECH AALTO PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

TECH AALTO PTE. LTD. in Singapore is seeking an experienced AI/ML Engineer to lead development of LLM-based agents and orchestration.

You will work on prompt engineering, fine-tuning, RLHF, RAG, and integration with Vertex AI, PaLM, and Gemini, collaborating with cross-functional teams.

Qualifications

• 3+ years of AI/ML engineering experience.
• Strong knowledge of LLMs and agentic AI concepts.
• Experience with prompt engineering and RAG.
• Hands-on model fine-tuning and RLHF.
• Familiarity with MCP, A2A protocols and orchestration.

Responsibilities

• Design and implement prompt engineering strategies for LLMs.
• Build and curate datasets for RAG and fine-tuning.
• Fine-tune foundation models on domain data.
• Apply RLHF to improve accuracy and agent decisions.
• Develop and deploy AI agents using Vertex AI, PaLM, Gemini.
• Define agent architectures and evaluation frameworks.
• Enable Agent-to-Agent communication and MCP standards.
• Maintain scalable ML pipelines and monitor model performance.
• Stay updated with generative AI and agent frameworks.

Skills

LLMs

Prompt engineering

RAG

RLHF

Agent orchestration

Transformer architectures

Python

TensorFlow

PyTorch

Tools

ADK

Agentpace

MCP

Vertex AI

PaLM

Gemini

Job description

Job Description: AI/ML Engineer(LLM & Agentic AI)

Location: Singapore

Employment Type: Full-time onsite

ExperienceRequired:3+ years

LanguageRequirement:Mandatory - Fluent in bothEnglish and Chinese (spoken and written)

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.
• Knowledgeof transformer-based architectures.

Agentic AI Frameworks

Experience with:

• Agent Development Kit (ADK)
• Agen t pace
• Agent-to-Agent (A2A) protocols
• ModelContext 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

Stron gprogramming experience in:

• Python
• TensorFlow
• JAX
• PyTorch

Language Requirement

• 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.

Confidentiality is assured,and only shortlisted candidates will be notified for interviews.