Desenvolvedor IA | LLM & Agents
BrazilFull-Time
Salary not disclosed
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Job Details
- Required Skills
- DockerPythonCloud ComputingETLMicroservicesLLMLangChain
Requirements
- Strong experience in Python development and software engineering best practices.
- Hands-on experience with LLM orchestration frameworks such as LangGraph, CrewAI, LangChain, or equivalents.
- Proven experience integrating AI APIs (OpenAI, Gemini, or open-source models) into production systems.
- Solid knowledge of data engineering concepts and ETL/ELT pipeline development.
- Experience with microservices architecture, Docker, and distributed systems.
- Familiarity with cloud platforms such as AWS, GCP, or Azure for deploying and operating applications.
- Strong advantage if you have experience with RAG architectures and knowledge base integration.
- Plus: exposure to Kubernetes, observability tools, performance optimization, and product-oriented thinking.
Responsibilities
- Develop and maintain AI and Generative AI applications using Python, with a strong focus on LLM-based solutions in production contexts.
- Design and implement autonomous agent architectures and AI workflows using tools such as LangGraph, CrewAI, LangChain, or similar frameworks.
- Build and optimize data pipelines and Retrieval-Augmented Generation (RAG) systems for efficient ingestion, processing, and contextual use of data.
- Integrate LLMs and AI services into enterprise systems through APIs, microservices, and distributed architectures.
- Deploy, monitor, and continuously improve AI solutions in cloud environments, ensuring scalability, reliability, and performance.
- Collaborate with cross-functional teams to translate business needs into robust and scalable AI-driven products.
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