AI Developer – LLMs & Agents

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🕒 June 8

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Smarthis

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🤖 Artificial Intelligence

Artificial Intelligence • Automation • Data Analytics

Smarthis is a company that specializes in providing customized solutions for businesses seeking automation and problem-solving through data analytics. With a presence in over 25 countries and more than 2000 projects completed, Smarthis helps organizations achieve operational efficiency by simplifying tasks through robotic process automation (RPA), transforming raw data into strategic insights, and implementing artificial intelligence processes that continuously learn and improve. Their commitment to customer support ensures monitoring and maintenance of automation cycles, making them a reliable partner for digital transformation.

📋 Description

• Develop AI and Generative AI applications using LLMs and Python. • Design and implement autonomous agent architectures and AI workflows (LangGraph, CrewAI or similar). • Build data pipelines and RAG solutions for ingestion, transformation, and intelligent use of data. • Integrate language models and AI services into enterprise applications via APIs and microservices. • Deploy, monitor, and evolve AI solutions in cloud environments, ensuring scalability and performance. • Collaborate with product and engineering teams to turn business challenges into AI-driven solutions.

🎯 Requirements

• Strong experience with Python and software development. • Experience with LLM orchestration frameworks (LangGraph, CrewAI, LangChain or similar). • Experience integrating AI model APIs (OpenAI, Gemini or open-source models). • Knowledge of data engineering and building ETL/ELT pipelines. • Experience with microservices architectures, Docker, and distributed environments. • Experience with cloud platforms (GCP, AWS or Azure) for deploying and operating applications. • Nice to have: • Experience with RAG architectures and integration with knowledge bases. • Familiarity with Kubernetes and scalable cloud architectures. • Experience with observability, monitoring, and performance optimization of AI applications. • Product-minded approach and experience working closely with the business.

🏖️ Benefits

• Profit-sharing • Health and dental insurance • Flexible benefits card • TotalPass • Access to Zenklub • Language program • Partnership with FIAP • Hybrid work • Internal training and a structured career plan • Flexible working hours • Mentorship program • Extended parental leave • Childcare assistance