обновлено 8 дней назад
AI Engineer
3 500 - 4 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (RAG/Agentic Systems): Building and deploying production AI systems, including backend AI modules, agentic workflows, retrieval pipelines, and reusable internal tools, with an accent on advanced RAG optimization, vector databases, and production infrastructure. Focus on designing reliable agent orchestration, improving retrieval accuracy, managing context constraints, and maintaining scalable deployments across client environments.
Location: Remote in Colombia
Salary: $3,500–$4,500 USD per month
Company
is an AI strategy and integration firm that builds production AI systems for B2B companies in private equity, wholesale lending, real estate, and SaaS.
What you will do
- Design and build production backend AI modules, agentic workflows, reasoning chains, and tool-use pipelines.
- Architect and optimize RAG pipelines for unstructured, messy, and multimodal data using chunking, embeddings, reranking, and vector databases.
- Build agentic systems with deliberate tool selection, memory architecture, context management, and failure recovery.
- Deploy AI services with infrastructure-as-code and containerized environments, including repeatable development and production deployments.
- Develop unit, integration, and AI evaluation tests, and maintain logging, alerting, and cost monitoring.
- Abstract reusable internal tools and libraries from client implementations and contribute to platform architecture reviews.
Requirements
- 3+ years of backend engineering experience, including at least 1 year building and shipping production AI agents.
- Hands-on experience with vector databases, advanced RAG optimization, and agentic orchestration.
- Strong Python and Node.js skills, including API design, asynchronous processing, parallel execution, and secure credential handling.
- Experience with Terraform or Pulumi, Docker, Kubernetes, and maintainable infrastructure at scale.
- Certified Claude Architect or the ability to earn the certification within the first 60 days.
- English at C1 level and availability to work remotely from Colombia.
Culture & Benefits
- End-to-end ownership of production AI systems without large-organization bureaucracy.
- AI-native working environment using coding assistants and current model capabilities.
- Access to new AI models through partnerships with Anthropic, OpenAI, and YC.
- Small pods, clear accountability, and a focus on reusable solutions.
- Bootstrapped, profitable company with growth upside for early team members.
Hiring process
- Submit an application with a CV, GitHub link, and salary expectations.
- Provide a short Loom video in English describing the most complex AI project completed, including the approach, challenges, and outcome.
- Applications without a Loom or recorded video in Colombia will not be considered.
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