Open role

Senior Full-Stack AI Engineer (Knowledge Graphs, RAG & Agents)

• Location: Remote, Latin America only
• Hours: Overlap with US Pacific time
• Type: 40 hours per week, long-term
• Experience: 7+ years

About the company

Our client is a US software company building a new AI product for specialists in a demanding technical field. The product turns that field into a structured, queryable knowledge graph and puts AI on top of it: search that understands the domain, answers grounded in the graph, recommendations, and guidance inside the app.

We share the company’s name with shortlisted candidates before the first interview.

About the role

You’ll build the core of the product end to end: the ontology and graph that model the domain, the retrieval and agent layer that reasons over it, and the web app specialists work in. The team is small and senior, so you’ll own large pieces of it and stay hands-on.

What success looks like

• The ontology models the domain well enough that experts trust what the graph tells them.
• Retrieval and agent answers stay grounded in the graph, and evaluations show when quality moves.
• Specialists use the app for real work and find complex information easy to navigate.
• The team has clear standards for code quality, testing and security, and you helped set them.

What you’ll do

• Model the domain. Design the ontology and knowledge graph, and decide how graph and vector storage work together.
• Build the AI layer. Retrieval pipelines, agents with custom tools, and the evals that prove they work.
• Own the app. Choose the frameworks and build the web app with its APIs, data models and pipelines.
• Ship AI features. Domain-aware search, recommendations and in-app guidance.
• Make the calls. Pick tools and architecture, and explain the trade-offs to the people they affect.
• Work with the experts. Turn input from product, design, specialists and leadership into working software.

What we’re looking for

• 7+ years building software, with recent hands-on production work
• Production experience with knowledge graphs and ontologies, and with RAG or retrieval systems
• Agent systems built past the demo stage: tools, loops, evaluation
• User-facing web apps you designed, shipped and maintained
• Comfortable across frontend, backend, data and cloud
• AI-assisted coding is part of your daily workflow
• Good product sense: you make dense information easy to use
• Startup or small-team experience, and you do your best work without close oversight

Tech stack

• Python and TypeScript
• React
• Neo4j (Cypher) plus a vector database
• PostgreSQL
• A major cloud platform

How it works

1. 01Apply below with your CV and LinkedIn profile.
2. 02If your experience fits, we invite you to the screening process with Remgu.
3. 03Candidates who pass the screening are presented to the client.