软件工程师（AI/数据平台）– 合同/远程
Software Engineer (AI / Data Platform) – Contract/Remote
我们正在打造一个基于AI的金融研究平台，专注于从SEC文件、市场数据和矿业、工业等领域的行业情报中获取实时洞察
我们的平台结合了大规模的数据管道、搜索基础设施和LLM驱动的工作流程，为AI股票研究助手、内部分析系统和面向投资者的工具提供支持
我们寻找一位能够从数据摄入到API再到生产部署全程负责系统的优秀工程师，帮助扩展一个实际运行的平台
你将直接与高影响力团队合作，拥有真正的所有权，并能影响技术方向
你将负责
- 构建并扩展一个基于AI的股票研究助手，实时处理SEC文件和财务数据
- 设计和维护用于摄入和转换大规模财务数据集（EDGAR、市场数据等）的数据管道
- 开发支持搜索、分析和AI工作流的后端系统和API
- 使用嵌入和向量数据库实现和优化语义搜索系统
- 构建用于分析、内容表现和投资者洞察的内部工具和仪表盘
- 提升生产系统的性能、可靠性和可扩展性
- 从设计到实现、部署、监控全程负责功能
所需技能
- 强大的Python后端经验（FastAPI或其他类似框架）
- 扎实的SQL知识（Postgres/MySQL）和数据建模能力
- 构建和维护生产级API的经验
- 熟悉AWS（EC2、RDS或类似服务）
- 数据管道/ETL系统的经验
- 对系统设计和可扩展架构有良好的理解
- 熟悉向量数据库（pgvector、Pinecone、Weaviate等）
- LLM系统或AI应用的经验
- 了解Docker、CI/CD或云部署
加分项
- 接触过财务数据/SEC文件（EDGAR）、金属和矿业数据
- 构建分析仪表盘或内部工具的经验
我们看重
- 强烈的责任心
- 独立调试和解决问题的能力
- 干净、可维护、高质量的代码
- 适应快速变化、结构不明确的环境
- 在远程团队中清晰沟通的能力
最初发布于喜马拉雅斯
查看英文原文
About the Role
We are building an AI-powered financial research platform focused on real-time insights from SEC filings, market data, and sector intelligence across mining, industrials, and beyond.
Our platform combines large-scale data pipelines, search infrastructure, and LLM-driven workflows to power an AI stock research assistant, internal analytics systems, and investor-facing tools.
We’re looking for a strong engineer who can own systems end-to-end from data ingestion to APIs to production deployment and help scale a live platform.
You’ll work directly with a high-impact team, with real ownership and the ability to influence technical direction.
What You’ll Do
- Build and scale an AI-powered stock research assistant that processes SEC filings and financial data in real time
- Design and maintain data pipelines for ingesting and transforming large-scale financial datasets (EDGAR, market data, etc.)
- Develop backend systems and APIs powering search, analytics, and AI workflows
- Implement and optimize semantic search systems using embeddings and vector databases
- Build internal tools and dashboards for analytics, content performance, and investor insights
- Improve performance, reliability, and scalability across production systems
- Take ownership of features from design to implementation, deployment, monitoring.
Required Skills
- Strong backend experience with Python (FastAPI or similar)
- Solid knowledge of SQL (Postgres/MySQL) and data modeling
- Experience building and maintaining production-grade APIs
- Hands-on experience with AWS (EC2, RDS, or similar services)
- Experience with data pipelines / ETL systems
- Good understanding of system design and scalable architectures
- Familiarity with vector databases (pgvector, Pinecone, Weaviate, etc.)
- Experience with LLM-based systems or AI applications
- Knowledge of Docker, CI/CD, or cloud deployments
Nice to Have
- Exposure to financial data / SEC filings (EDGAR), metals and mining data
- Experience building analytics dashboards or internal tools
What We Look For
- Strong ownership mindset
- Ability to debug and solve problems independently
- Clean, maintainable, production-quality code
- Comfort working in a fast-moving, unstructured environment
- Clear communication in a remote team
Originally posted on Himalayas