обновлено 5 дней назад
Master Generative AI Developer (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Master Generative AI Developer (Generative AI) (Python/AWS Bedrock): Building production-ready generative AI applications, RAG pipelines, multi-agent systems, and backend APIs for enterprise use cases with an accent on LLM integration, scalable architectures, and model optimization. Focus on designing agentic workflows, retrieving information from large document repositories, monitoring AI performance and costs, and deploying reliable systems at production scale.
Location: Remote, Brazil
Company
CI&T helps large enterprises transform artificial intelligence into business impact through AI deployment, AI-native execution, application modernization, data and AI, martech, and business strategy.
What you will do
- Design, develop, and deploy production-ready applications using large language models and foundation model platforms such as AWS Bedrock, Gemini, and OpenAI SDK.
- Build and optimize retrieval-augmented generation pipelines that process and retrieve information from large-scale document repositories.
- Implement multi-agent AI systems using AWS Bedrock Agents and AgentCore frameworks.
- Develop Python backend services, APIs, scalable AI pipelines, containerized deployments, and enterprise integrations.
- Design prompts, evaluate and fine-tune models, and experiment with configurations, hyperparameters, and architectures.
- Collaborate with product managers, data scientists, solution architects, stakeholders, and engineers to deliver production-ready AI solutions.
Requirements
- Professional software engineering and backend development experience; full-stack experience is a plus.
- Hands-on experience with large language models and foundation model APIs.
- Experience with agentic architectures and implementation, including LangChain, LlamaIndex, CrewAI, or AutoGen.
- Knowledge of prompt engineering, vector databases such as Pinecone, Weaviate, or OpenSearch, embedding models, or knowledge graphs.
- Knowledge of Python, modern frameworks and libraries, DevOps, public cloud practices, and CI/CD pipelines for AI applications.
Nice to have
- Full-stack development experience.
- Experience participating in sales initiatives related to generative AI.
Culture & Benefits
- Remote work arrangement for professionals based in Brazil.
- Collaboration with cross-functional teams across an organization of more than 8,000 professionals in over 25 countries.
- Opportunities to contribute to technical documentation, best practices, and knowledge sharing.
- Benefits are provided through CI&T's Brazil employment program.
Hiring process
- Present an assessment during the selection process.
- Support is available for obtaining the assessment if needed.
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