AI/ML Engineer(LLM & Agentic AI)

Job Description: AI/ML Engineer(LLM & Agentic AI)Location: SingaporeEmployment Type: Full-time onsiteExperienceRequired: 3+ yearsLanguageRequirement: Mandatory - Fluent in bothEnglish and Chinese (spoken and written)Role OverviewWe are seeking for our client an experienced AI/ML Engineer with strong expertise in Large 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, including Vertex 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 ResponsibilitiesDesign, 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 QualificationsAI/ML ExpertiseMinimum 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 FrameworksExperience with:Agent Development Kit (ADK)Agen t paceAgent-to-Agent (A2A) protocolsModelContext Protocol (MCP)Model Optimization TechniquesKnowledge of:LoRA (Low-Rank Adaptation)QuantizationPEFT (Parameter-Efficient Fine-Tuning)Prompt tuningChain-of-thought methodologiesProgramming SkillsStron gprogramming experience in:PythonTensorFlowJAXPyTorchLanguage RequirementAbility to communicate effectively with Chinese-speaking stakeholders and technical teams.Primary SkillsPrompt EngineeringRAG Dataset CurationLLM Fine-TuningRLHFVertex AIPaLMGeminiAgent ArchitectureAgent EvaluationMCPA2AADKAgentspacePythonTensorFlowJAXPyTorchLoRAPEFTQuantizationPrompt TuningChain-of-Thought ReasoningPreferred QualificationsExperience 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.When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the TechAalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/)Confidentiality is assured,and only shortlisted candidates will be notified for interviews.Tech Aalto Pte Ltd | 24S2130 EA | Pushpanjli Kir |R1657306.