AI Developer

WSP en Colombia

Colombia

On-site

COP 90,000,000 - 140,000,000

Full time

2 hours ago
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Job summary

WSP en Colombia is seeking a senior software engineer to lead the design and deployment of scalable AI-enabled platforms in a Colombian context. You will build backend APIs and cloud-native components, integrate LLMs and NLP into production systems, and help shape knowledge-driven pipelines and data integration.

The role emphasizes collaboration with analytics, data science, and product teams, ensuring secure, maintainable code, and supporting CI/CD and DevOps practices.

Qualifications

  • 5+ years in professional software development.
  • 2+ years leading the design, deployment, and scaling of LLM-based or agentic AI systems in production.
  • End-to-end AI architectures including data ingestion, retrieval, reasoning, and user-facing apps.
  • Strong experience with LLM workflows: prompts, evaluation, orchestration, tool integration.
  • Hands-on with embeddings, vector search, and RAG pipelines, with focus on performance.

Responsibilities

  • Design, build, and maintain scalable full‑stack apps integrating AI and data capabilities.
  • Develop backend APIs and cloud‑native components for scalable data workflows.
  • Integrate LLMs, agentic workflows, and NLP techniques into production systems.
  • Contribute to knowledge-based and data-driven platform design and evolution.
  • Develop data pipelines and knowledge-driven components in apps.

Skills

LLM AI systems
Backend API design
Python FastAPI
Node.js
Cloud Azure
DevOps CI/CD
English proficiency
Knowledge graphs

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

Docker/Kubernetes
Embeddings & vector search
RAG pipelines
SPARQL / Cypher

Job description

DESCRIPTION
  • 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.
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.

QUALIFICATIONS

#Colombia

SCHEDULE

Full‑time

EMPLOYEE STATUS

Regular

JOB POSTING

Oct 19, 2026, 10:15:55 PM

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