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GolderAI Developer
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Before you apply
LocationColombia
SenioritySenior
Experience5+ yrs
Company size10,000+ people
First seenOct 22, 2026 · 2w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline
5+ years of professional software development experience
2+ years leading the design, deployment, and scaling of LLM-based or agentic AI systems in production environments
Demonstrated experience designing end-to-end AI architectures including data ingestion, retrieval, reasoning layers, and user-facing applications
Strong experience with LLM workflows including prompt engineering, evaluation strategies, agent orchestration, and tool integration
Hands-on experience with embeddings, vector search, and RAG pipelines including performance optimization and retrieval quality improvements
Proven ability to design and build scalable backend systems and APIs (Python - FastAPI preferred, or Node.js) including microservices architectures
Experience integrating structured and unstructured data into scalable AI applications
Experience applying NLP techniques (e.g., entity extraction, entity resolution) in real-world applications
Strong experience with cloud-native development (Azure preferred) including deployment, monitoring, and cost/performance optimization
Experience with DevOps practices including CI/CD pipelines, Git workflows, and multi-environment deployments (dev, UAT, production)
Advanced English proficiency, both written and spoken
Experience with knowledge graphs and graph query languages (e.g., SPARQL, Cypher)
Experience with microservices
Experience with Docker/Kubernetes
Experience with ETL pipelines
Experience with engineering-heavy data environments
Skills
FastAPI
Node.js
Python
Azure
Docker
Kubernetes
SPARQL
Cypher
LLM
NLP
RAG
vector search
embeddings
CI/CD
Git
AI Developer
YOUR IMPACT
· Design, build, and maintain scalable full‑stack applications that integrate advanced AI and data capabilities.
· Develop backend APIs and cloud‑native components that support scalable data and analytics workflows.
· Integrate LLMs, agentic workflows, and NLP techniques (e.g., entity recognition and entity resolution) into production-ready systems.
· Contribute to the design and evolution of knowledge‑based and data‑driven platforms.
· Develop and integrate data pipelines and knowledge-driven components (e.g., structured data, semantic layers, or knowledge graphs) into applications.
· Collaborate closely with analytics, data science, knowledge engineering, and digital product teams.
· Work directly with internal teams and clients to translate requirements into scalable, production-ready solutions.
· Implement secure, maintainable, and testable code aligned with industry best practices.
· Support CI/CD, Git workflows, and DevOps automation.
THE SKILLS THAT SET YOU APART
· Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline.
· 5+ years of professional software development experience, including 2+ years leading the design, deployment, and scaling of LLM-based or agentic AI systems in production environments.
· Demonstrated experience designing end-to-end AI architectures, including data ingestion, retrieval, reasoning layers, and user-facing applications.
· Strong experience with LLM workflows, including prompt engineering, evaluation strategies, agent orchestration, and tool integration.
· Hands-on experience with embeddings, vector search, and RAG pipelines, including performance optimization and retrieval quality improvements.
· Proven ability to design and build scalable backend systems and APIs (Python – FastAPI preferred, or Node.js), including microservices architectures.
· Experience integrating structured and unstructured data into scalable AI applications.
· Experience applying NLP techniques (e.g., entity extraction, entity resolution) in real-world applications.
· Strong experience with cloud-native development (Azure preferred), including deployment, monitoring, and cost/performance optimization.
· Experience with DevOps practices, including CI/CD pipelines, Git workflows, and multi-environment deployments (dev, UAT, production).
· Advanced English proficiency, both written and spoken.
NICE TO HAVE
Experience with knowledge graphs and graph query languages (e.g., SPARQL, Cypher), microservices, Docker/Kubernetes, ETL pipelines, or engineering‑heavy data environments.
#Colombia