AI Developer

WSP en Colombia; Bogotá; Presencial; COP 120.000.000 - 200.000.000; Jornada completa

Descripción de la vacante

WSP en Colombia seeks a senior software engineer to design, build, and scale AI-enabled, full‑stack applications in production. You will develop backend APIs, cloud-native components, and data pipelines supporting analytics workflows.

The role requires hands‑on experience with LLM workflows, embeddings, vector search, and RAG pipelines, plus strong Python/FastAPI or Node.js capabilities in a cloud environment such as Azure.

Formación

• 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.
• 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.

Responsabilidades

• Design, build, and maintain scalable full‑stack applications integrating AI and data capabilities.
• Develop backend APIs and cloud‑native components for scalable data workflows.
• Integrate LLMs, agentic workflows, and NLP into production systems.
• Contribute to knowledge‑based and data‑driven platform evolution.
• Develop data pipelines and knowledge components (semantic layers, knowledge graphs).
• Collaborate with analytics, data science, knowledge engineering, and digital product teams.
• Translate requirements into scalable, production‑ready solutions with secure, testable code.
• Support CI/CD, Git workflows, and DevOps automation.

Conocimientos

Python

FastAPI

Node.js

LLM workflows

Prompt engineering

Leading AI systems

Embeddings

Vector search

RAG pipelines

Azure cloud

Git / CI-CD

DevOps

Educación

Bachelor's or Master’s in CS/Software Eng or related

Herramientas

Docker/Kubernetes

Azure

CI/CD tooling

Descripción del empleo

• 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.
• 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).

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.