AI Senior Engineer (Graph)

Able · LATAMRemotesenior

In short

▸Ingeniero senior de IA especializado en grafos, construyendo y manteniendo un conocimiento estructurado a gran escala.
▸Día a día: diseño de pipelines ETL, ingestión de datos en tiempo real con Kafka, limpieza automática del grafo y optimización de consultas.
▸Destacado: el grafo es tratado como un organismo vivo que requiere mantenimiento constante y evolución.

Strong verbal and written communication skills in English are a requirement.

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

What they ask for

✓4+ años de experiencia práctica con Neo4j
✓Dominio de Cypher, diseño de esquemas y operación en producción
✓Experiencia sólida en construcción de pipelines ETL para grafos
✓Conocimiento en streaming de datos y CDC con Kafka
✓Habilidades avanzadas en Python para scripts de ingesta y mantenimiento
✓Enfoque en integridad de datos: deduplicación, resolución de entidades y calidad

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Neo4jCypherKafkaChange Data Capture (CDC)PythonETLGraph IngestionData PipelineTime ModelingIndex Optimization

Who should you write to at Able?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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. , 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.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.