16 часов назад
AI Engineer Senior (Generative AI)
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 Senior (Generative AI): Building production-ready generative AI applications with an accent on LLM integration, RAG pipelines, agentic architectures, and scalable AI infrastructure. Focus on designing multi-agent systems, optimizing prompts and models, developing Python backend services, and monitoring AI performance, quality, and costs.
Location: Remote, Brazil
Company
helps large enterprises transform AI potential into business impact through AI deployment, AI-native execution, application modernization, Data & AI, Martech, and business strategy.
What you will do
- Design, develop, and deploy production-ready applications using LLMs and foundation models such as GPT, Gemini, and Claude through AWS Bedrock.
- Build and optimize RAG architectures for large-scale document repositories and implement multi-agent systems using AWS Bedrock Agents and AgentCore.
- Design scalable AI pipelines integrated with enterprise systems and develop Python backend services and APIs.
- Implement containerization, deployment, monitoring, and observability for AI applications, including performance, quality, and cost tracking.
- Design prompts, evaluate and fine-tune models, experiment with configurations and architectures, and contribute to documentation and best practices.
- Collaborate with product managers, data scientists, solution architects, stakeholders, and vertical teams; participate in Generative AI sales initiatives.
Requirements
- Professional software engineering experience and full-stack development experience.
- Hands-on experience with LLMs and foundation model APIs.
- Knowledge of Python, modern frameworks, and libraries.
- Knowledge of DevOps practices and CI/CD pipelines for AI applications.
Nice to have
- Experience with agentic architectures and implementation using tools such as LangChain, LlamaIndex, CrewAI, or AutoGen.
- Prompt engineering and optimization experience.
- Experience with vector databases such as Pinecone, Weaviate, or OpenSearch, embedding models, or knowledge graphs for agentic data consumption.
Culture & Benefits
- Remote home-office work in Brazil.
- Collaboration with cross-functional teams across an organization of 8,000 employees in more than 25 countries.
- Access to company benefits described in the CI&T careers materials.
Hiring process
- Present an assessment during the selection process; applicants without the assessment can receive support in obtaining it.
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