出海雷达

LLM Engineer / Prompt Engineer

AI开发工程限定地区(需当地身份)
公司MicroSourcing
薪资未公开
工作地点Philippines
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 Philippines 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
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你将获得:竞争力奖励:享受市场上高于市场的补偿,第一天医疗保险,加上一个或多个受理人,付费休息,现金转换,团体生命保险和绩效奖金。协作精神:通过参与公司主办的活动和活动来促进积极和有吸引力的工作环境。工作-生活和:享受灵活的工作安排之间的平衡。职业生涯增长:作为 LLM 工程师/即时工程师,你将:为大型语言模型 (LLM) 应用程序设计,开发和优化提示和工作流程。构建和维护 AI 驱动解决方案如聊天机器人,副驾驶员和智能自动化系统。评估模型输出并实施策略以提高准确性,相关性和安全性。与数据工程师和软件开发人员合作,集成 LLM 能力进入生产系统。试验模型调整方法,检索增强生成 (RAG) 和快速工程技术。你需要什么:非可谈判的计算机科学,数据科学,人工智能或相关领域学士学位 25年的软件开发经验,AI/ML 工程或 NLP 相关角色与 LLC 合作的丰富熟练 Python 经验 (例如 OpenAI 模型,开源 LLM 或类似平台)了解快速工程原则和模型评估技术 优先技能/专业知识 RAG 框架和矢量数据库的经验 (如 Pinecone,FAISS,Weaviate). 熟悉 LLM 集成和配套工具的 API (例如,LangChain,LlamaIndex)云平台知识如 AWS,Azure 或 GCP 理解嵌入式,代码化和精细调等 NLP 概念 在敏捷或实验性产品环境中工作经验 关于微源与13个分发中心超过9000名专业人士,MicroSourcing 是菲律宾首创和最大的管理服务提供商。我们对100% YOU MicroSourcing 的承诺坚信我们的公司力量在于我们的专业能力。

查看英文原文

Discover your 100% YOU with MicroSourcing!
Position: LLM Engineer / Prompt Engineer
Location: Philippines
Work setup & shift: Onsite/Hybrid/Remote
Why join MicroSourcing?
You'll have:
Competitive Rewards: Enjoy above-market compensation, healthcare coverage on day one, plus one or more dependents, paid time-off with cash conversion, group life insurance, and performance bonuses
A Collaborative Spirit: Contribute to a positive and engaging work environment by participating in company-sponsored events and activities.
Work-Life Harmony: Enjoy the balance between work and life that suits you with flexible work arrangements.
Career Growth: Take advantage of opportunities for continuous learning and career advancement.
Inclusive Teamwork: Be part of a team that celebrates diversity and fosters an inclusive culture.
Your Role:
As an LLM Engineer / Prompt Engineer, you will:
Design, develop, and optimize prompts and workflows for large language model (LLM) applications.
Build and maintain AI-driven solutions such as chatbots, copilots, and intelligent automation systems.
Evaluate model outputs and implement strategies to improve accuracy, relevance, and safety.
Collaborate with data engineers and software developers to integrate LLM capabilities into production systems.
Experiment with model tuning approaches, retrieval-augmented generation (RAG), and prompt engineering techniques.
What You Need:
Non-negotiables
Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
2–5 years of experience in software development, AI/ML engineering, or NLP-related roles
Strong proficiency in Python
Experience working with LLMs (e.g., OpenAI models, open-source LLMs, or similar platforms)
Understanding of prompt engineering principles and model evaluation techniques
Preferred skills/expertise
Experience with RAG frameworks and vector databases (e.g., Pinecone, FAISS, Weaviate)
Familiarity with APIs for LLM integration and orchestration tools (e.g., LangChain, LlamaIndex)
Knowledge of cloud platforms such as AWS, Azure, or GCP
Understanding of NLP concepts such as embeddings, tokenization, and fine-tuning
Experience working in Agile or experimental product environments
About MicroSourcing

With over 9,000 professionals across 13 delivery centers, MicroSourcing is the pioneer and largest offshore provider of managed services in the Philippines.
Our commitment to 100% YOU
MicroSourcing firmly believes that our company's strength lies in our people's diversity and talent. We are proud to foster an inclusive culture that embraces individuals of all races, genders, ethnicities, abilities, and backgrounds. We provide space for everyone, embracing different perspectives, and making room for opportunities for each individual to thrive.
At MicroSourcing, equality is not merely a slogan – it's our commitment. Our way of life. Here, we don't just accept your unique authentic self - we celebrate it, valuing every individual's contribution to our collective success and growth. Join us in celebrating YOU and your 100%!
For more information, visit
*Terms & conditions apply.
Originally posted on Himalayas

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