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AI 高级工程师(图)

雇主

Able

地点

远程 · 中国

待遇

面议

工作模式

远程

截止日期

12月11日

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岗位摘要

Back in 2012, we were a group of engineers and designers who decided we wanted to build things—so we did. Able started as an engineering and product hub building for a portfolio of early-stage startups. We built many relationships while developing products that were thoughtful, effective, and genuinely useful. But, since then, we’ve grown… and…

岗位职责

Back in 2012, we were a group of engineers and designers who decided we wanted to build things—so we did. Able started as an engineering and product hub building for a portfolio of early-stage startups. We built many relationships while developing products that were thoughtful, effective, and genuinely useful. But, since then, we’ve grown… and so has our ambition.
Now, we’re entering our next chapter—defined by applied AI. AI is a powerful force in the end-to-end software development cycle, and we’re creating practices that allow us to deliver software fast and more effectively than traditional approaches, creating meaningful value for our partners. Today, our builder mindset is driving us to become an AI-native organization across every function. We’re still evolving, and that’s part of the opportunity. If you want to build, learn, and tackle challenges alongside an ambitious team, let’s build together.
This position is 100% remote within LatAm.
What you’ll be doing
We are seeking someone who views the Knowledge Graph not just as a database, but as a living organism that requires constant care, feeding, and pruning. You understand that a RAG system is only as good as the data underlying it. You are intrigued by the complexity of ingesting massive, messy datasets and transforming them into clean, connected knowledge.
In short, someone who likes:
Architecting GraphETL: Designing and developing robust ETL pipelines specifically for graph ingestion. You aren't just dumping rows into tables; you are determining how disparate data sources connect, evolve, and relate in a graph structure.
Data Ingestionat Scale: Managing high-volume data streams using tools like Kafka and implementing CDC (Change Data Capture) patterns to ensure the graph reflects real-time reality.
Automated Graph Hygiene: Writing scripts and jobs for deduplication, orphan node detection, and data consistency checks. You take pride in a clean schema.
Modeling Time: Handling complex temporal relationships (e.g., how property ownership or financial status changes over time) within the graph.
Performance Tuning: Ensuring that as the graph grows (25k+ reports and beyond), the underlying query performance remains snappy through optimizing indexes and storage.
What we’re looking for
We want to work with people who have a passion for collaborating with their teams, building software while nurturing inclusive and respectful relationships with their coworkers. With the ones that are open about their shortcomings and what they do not know now, but remain eager to keep on growing and closing those gaps.
Ideally, they would also have:
Neo4j Expertise (Must Have): 4+ years of hands-on experience. You master Cypher, schema design, and the operational side of managing a production graph.
ETL & Pipeline Mastery: Strong background in building data pipelines. You know how to take raw data, clean it, and structure it for graph ingestion.
Streaming & CDC: Familiarity with event streaming platforms like Kafka and Change Data Capture methodologies to sync operational databases with the graph.
Python Proficiency: Strong Python skills for writing ingestion scripts, maintenance jobs, and custom graph algorithms.
Data Integrity Focus: Experience implementing automated jobs for entity resolution, deduplication, and quality assurance.
Nice-to-Have:
C# Knowledge: Ability to read or contribute to C# codebases.
Domain Experience: Prior work in Finance or Real Estate sectors.
Able is powered by curious, thoughtful people who care about what they build and how they build it. We’re actively investing in our team through AI training, knowledge-sharing, and hands-on experimentation to ensure everyone grows alongside the technology.
This position is 100% remote within LatAm. Strong verbal and written communication skills in English are a requirement. As a team member, you can expect:
To work 40 hours per week, and be available during normal business hours as needed.
Payments made in USD.
18 days of PTO per year, observance of local holidays, and an annual break between Christmas and New Years.
Wellness + Remote Stipend
AI Voucher
About Able
Able builds technology products in a portfolio model. We believe that people, teams, and processes are more important than the ideas themselves, so we’ve focused on bringing great people together, and investing in their growth.
We’ve built products in a variety of industries. Everything from media to finance to toys to healthcare. Sometimes we work with management teams to help their businesses grow faster or unlock value using technology. Other times we start or buy businesses outright. Each time, we look for opportunities to leverage technology built at the portfolio-level to drive value faster.
Able is committed to inclusion and diversity and is an equal-opportunity employer. All applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability, or veteran status.
This is but the beginning of a conversation we’d love to have with you.
Apply, and let’s get this adventure started!

申请条件

- 具备图 ETL 架构设计经验,能够设计和开发面向图数据摄入的 ETL 管道
- 理解不同数据源在图结构中的连接、演变和关联方式
- 具备大规模数据摄入经验,熟悉 Kafka 等高吞吐数据流工具
- 熟悉 CDC(变更数据捕获)模式,确保图数据实时反映现实
- 能够编写脚本和任务实现自动化图数据维护,包括去重、孤立节点检测和数据一致性检查
- 对干净的 schema 有高标准和自豪感
- 具备处理复杂时间数据建模的能力
- 将知识图谱视为需要持续维护的活体系统,而非静态数据库
- 理解 RAG 系统的质量取决于底层数据质量
- 对摄入大规模、杂乱数据集并将其转化为干净、互联知识充满兴趣
- 具备构建、学习和在雄心勃勃的团队中迎接挑战的意愿
- 能够在 LatAm 地区远程全职工作

雇主简介

Able是一家AI原生软件开发和产品工程公司,专注于应用人工智能技术,提供端到端软件开发服务,包括知识图谱和RAG系统构建。

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