Desenvolvedor IA | LLM & Agents in Brazil, Indiana at Jobgether
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Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Desenvolvedor IA | LLM & Agents in Brazil.
This role is focused on building and evolving cutting-edge AI and generative AI solutions powered by LLMs in production environments. You will work at the intersection of machine learning, software engineering, and product innovation, designing intelligent agents and scalable AI workflows. The position involves hands-on development of RAG pipelines, LLM orchestration, and API integrations for enterprise-grade applications. You will collaborate closely with product and engineering teams to transform business challenges into intelligent, data-driven solutions. The environment is highly innovative, fast-paced, and oriented toward continuous improvement and experimentation. This is an opportunity to contribute to impactful AI systems deployed at scale across multiple industries and geographies.
- 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.
- 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.
- Profit sharing and performance-based incentives.
- Health and dental insurance coverage.
- Flexible benefits card.
- TotalPass fitness and wellness access.
- Zenklub platform access for mental health support.
- Language learning program.
- Partnerships with educational institutions (e.g., FIAP).
- Hybrid work model with flexible hours.
- Structured career development and internal training programs.
- Mentorship programs to support professional growth.
- Extended parental leave and childcare assistance.
- Continuous learning culture with coding sessions, dojos, workshops, and team activities.