3 дня назад
AI Engineer (GenAI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (GenAI) (LLMs/RAG/AI Agents): Designing and deploying production-ready intelligent systems, including RAG solutions, assistants, agentic workflows, and enterprise integrations with an accent on reliability, evaluation, and operational performance. Focus on engineering agent behavior, building automated quality controls, and optimizing AI capabilities for performance, latency, and cost.
Location: Remote from any city in Colombia or Mexico
Company
is an international data and AI consulting group that designs and operationalizes intelligent systems for business use.
What you will do
- Design and deploy production-ready GenAI solutions, including RAG systems, intelligent assistants, and agentic workflows.
- Engineer AI agent behavior covering tool use, context management, memory, routing, failure handling, and human oversight.
- Integrate LLMs, APIs, enterprise applications, and data sources while balancing performance, latency, and cost.
- Build evaluation frameworks, automated tests, observability, and quality controls to measure reliability and detect regressions.
- Monitor, troubleshoot, and continuously improve AI capabilities in production.
- Document reusable engineering patterns and enable client teams to maintain deployed solutions.
Requirements
- Hands-on experience designing, developing, and deploying production-ready GenAI and LLM-based solutions.
- Proven experience with RAG architectures, AI agents, and multi-step intelligent workflows.
- Experience evaluating, monitoring, and optimizing AI systems for reliability, performance, and cost.
- Strong software engineering background, including API development, testing, and enterprise integrations.
- Strong Python programming and software development fundamentals.
- Knowledge of LLM integration, prompt engineering, embeddings, retrieval, grounding, agent orchestration, tool calling, context management, memory, and human-in-the-loop workflows.
- Experience with LLM evaluation, automated testing, observability, and production monitoring.
- Familiarity with Azure, AWS, or GCP, CI/CD, and LLMOps/MLOps practices.
- Senior-level profile based in Colombia or Mexico; the role is fully remote.
Nice to have
- Experience with LangGraph, LangChain, LlamaIndex, or Semantic Kernel.
- Knowledge of multi-agent systems, multimodal AI, fine-tuning, or open-source models.
- Experience integrating AI with CRM, ERP, MCP, or enterprise automation platforms.
- Consulting experience or exposure to regulated industries.
Culture & Benefits
- International and multicultural projects.
- Continuous learning and professional development.
- Career growth and internal mobility opportunities.
- Collaborative, innovative, and entrepreneurial culture.
- Local benefits and working arrangements will be confirmed before publication.
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