Senior IA Product Engineer

Aviso de fuente externaen Intellias

At Intellias, we're always on the lookout for exceptional talent to join our team. Over 20 years of market experience, Intellias brings together technologists, creators and innovators in...

Fuente externa - sin verificarhace 6 díasVigente hasta: 15 sep 2026

Salario

No especificado

Ubicación

Bogotá, Colombia

Tipo de empleo

Tiempo completo

Modalidad

No especificado

Senior IA Product Engineer

Bogotá, Colombia

Descripción del empleo

At Intellias, we're always on the lookout for exceptional talent to join our team. Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow!
Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation.
What we offer you in Colombia📄 Indefinite contract with Intellias Colombia SAS, payment in COP🛡️ Health, life, funerary and pet insurance for the employee🌴 Extra vacation days (19 days/year)✈️ Workation up to 90 days outside Colombia🎓 Training and certifications🏠 100% work from home + internet subsidy🗣️ 100% English environment🎁 Recognition: kudos, anniversary & birthday gifts 🎉🎂
Requirements:6+ years of experience in software engineering or product engineering.Strong experience with:Primary stacks: JavaScript/TypeScript (React, Next.js, Node.js), Python (FastAPI, Django, Flask).Hands-on experience using AI-assisted development tools such as GitHub Copilot, Claude, Cursor, or similar.Experience with MCPs ecosystem and tool integrationsUnderstanding of:AI-native engineering workflowsAgent orchestration and multi-agent collaborationAutomated AI output validationPrompt engineering and TokenOps fundamentalsContext management and tool routing strategiesAbility to independently translate product requirements into feature specifications and executable implementation workflows.Strong understanding of software architecture, testing strategies, CI/CD, and cloud engineering practices.Strong communication, collaboration, and problem-solving skills. Product-oriented mindset.
Will be a plus:Familiarity with multi-agent workflows and AI evaluation techniques.Experience with integrating LLMs into real-world systems, including:LLM APIs (OpenAI, Anthropic, Hugging Face),RAG pipelines,vector databases (Pinecone, Weaviate, FAISS).
Responsibilities:Design and implement fullstack product solutions using AI-assisted engineering workflows.Translate product requirements into clear specifications, architecture decisions, and implementation plans.Orchestrate AI tools and agents across coding, testing, validation, refactoring, and documentation workflows.Implement automated testing and validation approaches to ensure delivery quality.Optimize AI workflow efficiency through effective context management and token usage.Collaborate with product managers, designers, and engineers to rapidly iterate on product capabilities.Contribute to reusable templates, accelerators, and AI-enabled engineering best practices
At Intellias, where technology takes center stage, people always come before processes. We're dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.

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