[ASP] 高级 AI 工程师（Palantir）
[ASP] Senior AI Engineer with Palantir
Software Mind 为全球公司提供具有影响力的解决方案。科技巨头与独角兽企业、变革性项目、新兴技术以及无限的机会——这些是我们的日常写照。我们组建跨职能的工程团队，他们拥有责任感并追求卓越，因此我们一直在寻找那些为每个项目带来激情和创造力的优秀人才。我们的文化倡导开放、尊重、坚韧与勇气，并将工作与乐趣结合。
项目 – 你将承担的角色
你将加入一个为期15个月的国际管理咨询客户的AI转型项目，为多种业务用例交付可投入生产的代理型AI解决方案。你将加入两个跨职能小组之一，由高级数据与AI工程师组成，从概念验证和实验到部署，全程参与解决方案的开发。该项目在快节奏环境中提供与Palantir Foundry和AIP、现代大语言模型（LLM）、Azure和Databricks的实际操作机会。
角色 – 你将如何贡献
· 在整个用例生命周期中设计、构建、测试并实现生产级代理型AI解决方案。
· 开发模块化AI代理、工具和可复用功能，以支持多个业务用例。
· 使用Palantir Foundry构建结构化和非结构化数据的数据管道和数据产品。
· 设计和维护Foundry本体，包括对象类型、链接类型、动作类型、接口和属性集。
· 使用Palantir AIP Logic、AIP Automate和AIP Assist构建和部署基于大语言模型的工作流。
· 集成并评估来自OpenAI、Anthropic等大语言模型供应商的模型，考虑质量、安全性和成本。
· 实现自动化测试、可观测性、防护机制和安全的CI/CD流水线，以支持生产部署。
· 与客户利益相关者和小组成员协作，分享Palantir的专业知识并提升其他工程师的能力。
要求 – 你需要的经验
· 在生产环境中设计、构建和部署代理型AI和多代理解决方案的丰富商业经验。
· 熟悉Palantir Foundry和Palantir AIP，涵盖数据工程、本体开发和AI/LLM工作流。
· 强大的Python技能，以及使用LangGraph、LangChain、LlamaIndex或其他类似代理框架的实际经验。
· 具备使用结构化和非结构化数据构建数据管道和语义或上下文层的经验。
· 实际操作经验
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Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
Project – the aim you’ll have
You will join a 15-month AI transformation engagement for an international management consulting client, delivering production-ready Agentic AI solutions across diverse business use cases. Working in one of two cross-functional pods of Senior Data and AI Engineers, you will take solutions from ideation and experimentation through deployment. The project offers hands-on work with Palantir Foundry and AIP, modern LLMs, Azure and Databricks in a fast-paced environment.
Role – how you’ll contribute
· Design, build, test and productionize Agentic AI solutions across the end-to-end use case lifecycle.
· Develop modular AI agents, tools and reusable capabilities supporting multiple business use cases.
· Engineer data pipelines and data products for structured and unstructured data using Palantir Foundry.
· Design and maintain Foundry ontologies, including Object Types, Link Types, Action Types, Interfaces and Property Sets.
· Build and deploy LLM-powered workflows using Palantir AIP Logic, AIP Automate and AIP Assist.
· Integrate and evaluate models from OpenAI, Anthropic and other LLM providers, considering quality, security and cost.
· Implement automated testing, observability, guardrails and secure CI/CD pipelines supporting production deployments.
· Collaborate with client stakeholders and pod members, sharing Palantir expertise and upskilling other engineers.
Expectations – the experience you need
· Strong commercial experience designing, building and deploying Agentic AI and multi-agent solutions in production environments.
· Hands-on experience with Palantir Foundry and Palantir AIP, covering data engineering, ontology development and AI/LLM workflows.
· Strong Python skills and practical experience with agent frameworks such as LangGraph, LangChain, LlamaIndex or similar.
· Experience building data pipelines and semantic or context layers using structured and unstructured data.
· Hands-on experience with leading LLM providers, RAG architectures, vector databases and model integration.
· Experience with Git-based development, automated testing, CI/CD pipelines and DevSecOps practices.
· Understanding of LLM evaluation, AI guardrails, observability and responsible AI principles.
· Strong English communication skills and the ability to collaborate with clients, cross-functional teams and other engineers.
Additional skills – the edge you have
· Experience with advanced Palantir capabilities such as CBAC attribute sets, Data Lineage, Ontology Linter and Foundry Marketplace.
· Hands-on knowledge of Azure AI Foundry, Databricks and Databricks Genie.
· Experience designing semantic layers, ontologies or context spines across Azure, AWS or GCP environments.
· Knowledge of LLM model selection, performance optimization and cost management.
· Previous experience in consulting, rapid prototyping or upskilling engineering teams.
What we offer:
· Flexible and remote cooperation options
· International projects with leading global clients
· Travels related to international projects
· Non-corporate atmosphere
· Access* to language classes
· Access* to knowledge-sharing initiatives
· Access* to private healthcare and life insurance
· Access* to multisport card
*The availability and terms of individual benefits may vary depending on the chosen form of cooperation.