
LLM/Backend Developer – Graph Engineer
Capco
full-time
Posted on:
Location Type: Remote
Location: Brazil
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About the role
- Implement and optimize LLM agents and AI-driven reasoning flows.
- Develop and maintain backend services that support GenAI applications.
- Create, test, and refine prompts and prompt-engineering strategies for various use cases.
- Integrate grounding logic with graph structures and graph databases.
- Collaborate with graph engineers on modeling, ingesting, and consuming graph data.
- Contribute to the evolution of the GenAI PRT Tool proof of concept (POC), ensuring scalability, performance, and technical quality.
- Participate in architectural and solution-design discussions involving generative AI.
Requirements
- Experience with language models (LLMs) and developing intelligent agents.
- Hands-on experience with prompt engineering.
- Strong knowledge of backend development (Python, Node.js, Java, or similar).
- Experience with graph databases or graph frameworks (Neo4j, AWS Neptune, GraphQL Federation, etc.) is highly desirable.
- Understanding of modern AI architectures, data pipelines, and API integrations.
- Ability to work in a collaborative, POC/MVP-oriented environment.
- Degree in IT or related fields.
- Advanced English.
Benefits
- Capco fosters an inclusive culture.
- We value diversity in all its forms.
- Opportunities for everyone.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
language modelsLLMsbackend developmentPythonNode.jsJavaprompt engineeringgraph databasesNeo4jAWS Neptune
Soft Skills
collaborativePOC-orientedMVP-oriented
Certifications
degree in IT