Tech Lead – AI

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November 25

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Teddy Open Finance

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Fintech • SaaS • API

Teddy Open Finance is a Brazilian fintech infrastructure company providing SaaS platforms and open finance-enabled APIs that connect banks, fintechs and credit originators. The company offers modular solutions for credit origination, compliance, document management, bancarization, payment split, white-label platforms and automation, supported by AI-driven assistant SAM IA and enterprise-grade security. Teddy operates as a digital correspondent (correspondente bancário) and primarily serves banks, fintechs and financial agents to scale distribution of multiple credit products with embedded compliance and integrations to major financial institutions.

51 - 200 employees

Founded 2020

💳 Fintech

☁️ SaaS

🔌 API

📋 Description

• Lead the AI team in creating, maintaining, and evolving AI-based solutions, with a focus on Open Finance products. • Design and implement robust architectures using LLMs, especially for use with ChatGPT and GPT-4 (and subsequent versions). • Implement autonomous agents and RAG (Retrieval-Augmented Generation) workflows connecting vector databases, APIs, and internal data sources. • Ensure engineering and MLOps best practices (CI/CD for models, monitoring, and model retraining). • Collaborate closely with Product, Engineering, Data, and Compliance teams. • Mentor the team by providing technical guidance and promoting a culture of excellence and continuous learning. • Test and evaluate different generative AI approaches to build smarter, more responsive customer-facing interfaces.

🎯 Requirements

• Hands-on experience with ChatGPT-based models (OpenAI) and other LLM architectures (e.g., Claude, Falcon, LLaMA, Mistral). • Proficiency in Python, and PyTorch or TensorFlow; experience with OpenAI APIs, LangChain, and RAG frameworks. • Knowledge of natural language processing (NLP) and vector embeddings (Pinecone, FAISS, etc.). • Experience with MLOps: model versioning (MLflow, DVC), Docker, Kubernetes, and cloud deployment (AWS, GCP, or Azure). • Experience working in agile environments and with a DevOps culture. • Experience delivering AI projects in real business contexts, preferably in the financial sector.

🏖️ Benefits

• Health insurance • Dental insurance • Career development plan • Meal allowance