
B2B • HR Tech • SaaS
Runtalent is a technology services company that specializes in the allocation of qualified professionals across various tech platforms for project needs. They focus on agile squads and managed services, ensuring operational efficiency and project success. With over 20 years in the market, Runtalent has established a strong talent pool and collaborates with multiple industries including finance, healthcare, and entertainment to provide tailored solutions for each client.
501 - 1000 employees
Founded 2003
🤝 B2B
👥 HR Tech
☁️ SaaS
October 25
🗣️🇧🇷🇵🇹 Portuguese Required

B2B • HR Tech • SaaS
Runtalent is a technology services company that specializes in the allocation of qualified professionals across various tech platforms for project needs. They focus on agile squads and managed services, ensuring operational efficiency and project success. With over 20 years in the market, Runtalent has established a strong talent pool and collaborates with multiple industries including finance, healthcare, and entertainment to provide tailored solutions for each client.
501 - 1000 employees
Founded 2003
🤝 B2B
👥 HR Tech
☁️ SaaS
• Responsible for developing and maintaining AI applications and pipelines using Python • Implement Retrieval-Augmented Generation (RAG) solutions integrated with LLMs such as OpenAI, Claude, Gemini, Anthropic, or Mistral • Create and integrate RESTful APIs and microservices (e.g., FastAPI) • Ensure typing and data consistency with Pydantic, enforcing clear API contracts • Build workflows with LangChain/LangGraph • Work with vector databases (e.g., LanceDB) • Implement automated tests • Conduct code reviews and apply observability practices (logging and monitoring) • Collaborate with Data, Product, and Security teams in an agile environment (Scrum/Kanban)
• Strong experience with Python • Hands-on knowledge of Artificial Intelligence, Machine Learning, LLMs, and RAG • Experience with frameworks and libraries: FastAPI or Django, LangChain, Pydantic • Familiarity with SQL/NoSQL databases and vector stores • Cloud experience (AWS, Azure, or GCP) and CI/CD practices • Version control with Git and familiarity with DevOps practices • Experience with MLOps (e.g., MLflow, Kubeflow) and ML libraries (TensorFlow, PyTorch) • Knowledge of security and compliance for AI applications
• Remote work
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