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3 days ago
About the role (summary) Our client - a regional technology platform scaling AI capabilities across products - seeks a Generative AI / Prompt Engineering Lead (PromptOps) to design, optimise and operationalise prompts, instruction pipelines, and prompt-driven product features. You will shape how LLMs are safely and reliably integrated into customer-facing and internal workflows, set prompt governance standards, and mentor engineers across the business.Key responsibilities Lead prompt design, prompt chaining and prompt templates for product features (chat, summaries, code generation, knowledge retrieval). Build and maintain PromptOps pipelines: prompt versioning, testing, evaluation metrics, A/B experiments and rollout processes. Develop evaluation frameworks (qualitative + quantitative) for LLM output quality, robustness, bias and hallucination risk. Collaborate with product managers, ML engineers, data engineers and UX to embed LLMs into features with good latency, cost and safety trade-offs. Implement guardrails and content safety checks; work with legal/compliance on regulatory and data-privacy considerations. Define prompt documentation, best practices and run internal training / prompt design workshops. Monitor model costs, automate prompt batching and optimisation to control inference spend. Mentor junior prompt engineers and guide sourcing of external LLM models/APIs. Requirements (must-have) Bachelor's or Master's in Computer Science, AI, Cognitive Science, or related discipline (or equivalent experience). 3-6 years in ML/AI product or applied NLP roles; demonstrable experience working with LLMs (OpenAI, Anthropic, Llama-class, PaLM, etc.). Hands-on prompt engineering experience - designing effective prompts, prompt chaining, few-shot prompting and evaluation. Strong Python skills and familiarity with deployment/inference frameworks (LangChain, LlamaIndex, Hugging Face pipelines or equivalent). Experience with A/B testing, offline/online evaluation metrics, and monitoring ML performance in production. Excellent stakeholder skills: able to translate product problems into prompt/model solutions. Preferred qualifications (nice-to-have) Production experience with PromptOps tooling (prompt versioning, CI for prompts). Background in ML safety/AI ethics, content moderation systems or model risk management. Experience optimising latency/cost at scale (e.g., batching, quantised models, retrieval augmentation). What the client offers Be a core leader in an AI product-centric team with rapid growth and strong funding. Competitive compensation (base + equity/bonus), flexible hybrid work and skills budget. Hands-on ownership of end-to-end PromptOps and opportunity to influence product roadmap. Please note: This is a client role managed by Octomate Staffing Pte Ltd.Recruitment services are provided by: Octomate Staffing Pte Ltd EA Licence No.: 23C1980 EA Personnel: Zachary Ng (Registration No.: R )
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AI Agent Engineer
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Singapore Manus AI Full timeGet AI-powered advice on this job and more exclusive features. Direct message the job poster from Manus AI Responsibilities Develop core modules of the Manus Agent, driving practical applications of generative AI in real-world scenarios Optimize Agent performance through prompt engineering, tool design, RAG, and Agent system architecture optimization...
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Director of Product Engineering, Ai
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Azure Open AI
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AI Agent Developer Evangelist
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AI Product Manager
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Generative AI Engineer
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Singapore HR Tech Full timeWe are looking for a Generative AI Engineer to join our team and help us develop and deploy innovative AI and ML solutions. The ideal candidate will have a strong understanding of Generative AI construct, machine learning models, NLP, prompt engineering, and Python. Responsibilities Develop and implement generative AI models to solve real-world problems in a...
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AI Engineer
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Generative AI Developer
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Singapore HR Tech Full timeJob Title: Generative AI Developer (3-5 YoE)Overview We are looking for a highly skilled and experienced Generative AI Developer to join our team. The ideal candidate will have a strong understanding of generative AI models and frameworks, techniques and be able to apply them to develop innovative solutions. The successful candidate will also have a proven...