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Able

Remote opportunity at

Able

AI Senior Engineer (Graph)

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…

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Role Snapshot

Work arrangement
Remote
Where applicants may be
Not specified
Salary
Not specified
Apply by
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Employment type
Full-time
Experience
Not specified
Added to Jobsiz1mo ago
Listing Views15
Applications0
Apply BeforeNo deadline

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AI Summary

This role focuses on designing, building, and maintaining production Knowledge Graph ETL pipelines and real-time streaming architectures using Neo4j, Cypher, and Python. Day-to-day responsibilities include automated graph hygiene, temporal data modeling, CDC implementation, and query performance tuning for high-volume datasets to power downstream AI and RAG applications. It is tailored for a LatAm-based senior engineer with deep graph database expertise who can work autonomously within a collaborative team.

About this role

AI Senior Engineer (Graph) at Able is a full-time role. Work arrangement: Remote. Location: Not specified. No salary is shown in this listing. It was posted on Sep 11, 2026. This listing is paused and not taking applications at the moment.

Original Employer Job Description

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 Graph ETL: 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 Ingestion at 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!

Core Skills

Role DNA (AI assessment)

High technical complexity and strong autonomy define this specialized engineering position, supported by steady cross-functional team collaboration.

Job ComplexityHigh
Pace & PressureModerate
Autonomy LevelHigh
Communication LoadModerate

Salary Analysis

No salary was disclosed in the posting, but market estimates for specialized senior graph engineers based in LatAm working for US companies typically range from $65,000 to $110,000 USD annually.

Employer-Listed Salary

Not disclosed

As stated in this job posting.

AI salary estimate (not from the employer)

USD 65,000/yrMedian: USD 85,000/yrUSD 110,000/yr

AI-estimated market range based on role, seniority, and location — not a guaranteed offer, and independent of the employer's own figure above.

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Posted by Able

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Posted by employer: Not specified

Added to Jobsiz: Sep 11, 2026

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