2 дня назад
Agentic AI Expert (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Agentic AI Expert (AI Engineering): Building and optimizing the Neo Autonomous Agentic Platform with an accent on scalable solution architectures, agent orchestration, and engineering standards. Focus on designing reusable agentic patterns, implementing context pipelines, and ensuring reliable autonomy at scale.
Location: Must be based in Colombia or Chile (Remote/Office)
Company
is a global engineering and technology company developing an autonomous agentic platform called Neo.
What you will do
- Shape the technical direction of the production-grade Autonomous Agentic Platform.
- Define reusable agentic engineering patterns, contracts, interfaces, and workflows for SDLC execution.
- Lead implementation strategy across agent workflows, MCP tools, context pipelines, and orchestration patterns.
- Partner with architects and product owners to translate vision into executable technical systems.
- Establish engineering standards for code quality, observability, and agentic workflow governance.
- Mentor technical leads and engineers to raise the overall quality bar of the platform.
Requirements
- 10+ years of experience designing and scaling complex software platforms, including AI-centric distributed systems.
- Strong hands-on expertise with Python, TypeScript/JavaScript, React, Node.js, and cloud-native deployment patterns.
- Advanced AI/ML engineering experience with LLM-based systems and agentic workflows.
- Deep understanding of microservices architecture, C4 modeling, and contract-first engineering.
- Proven experience leading cross-functional teams through complex technical decisions and delivery risks.
- Location: Must be based in Colombia or Chile.
Culture & Benefits
- Inclusive work environment as an Equal Opportunity Employer.
- Leadership focus on building trust, coaching growth, and delivering results.
- Opportunity to drive high-impact technical decisions in the agentic AI domain.
- Global collaboration across diverse engineering and business teams.
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