Software Architect (Python com Langflow/AI)

• Define and evolve the technical architecture for AI-driven and Python-based applications, ensuring scalability, reliability, and maintainability across systems


• Design and implement AI-assisted development workflows using tools such as Langflow, agentic frameworks, and LLM APIs like OpenAI API and Anthropic API


• Build and oversee orchestration of AI agents and automation pipelines using frameworks such as CrewAI and similar agent-based systems


• Review, validate, and improve AI-generated code, ensuring quality, security, and adherence to engineering best practices


• Structure and govern development workflows using Git-based processes and AI-assisted coding tools such as GitHub Copilot


• Collaborate with engineering, product, and data teams to design end-to-end solutions powered by AI, ensuring alignment with business objectives


• Establish standards for prompt engineering, model evaluation, and AI output quality across development teams

Requirements:

This role requires strong experience in software architecture and advanced Python development, combined with hands-on exposure to AI-powered engineering environments. The ideal candidate has experience building scalable systems, defining development standards, and working with modern AI tooling in production contexts.

• Strong experience as a Senior Software Engineer or Software Architect with solid exposure to system design and distributed architectures


• Advanced Python development experience, including backend systems, APIs, and automation frameworks


• Hands-on experience with AI-assisted development tools and LLM APIs (OpenAI, Anthropic, Copilot, or similar)


• Practical experience with Langflow and AI orchestration / agent-based development frameworks


• Strong ability to review and critically evaluate AI-generated code for correctness, security, and maintainability


• Experience designing AI-driven development workflows (code generation, testing automation, refactoring pipelines)


• Knowledge of prompt engineering and evaluation of LLM outputs


• English at intermediate to advanced level for technical communication in global teams


• Strong architectural thinking, problem-solving skills, and ability to work in fast-paced innovation environments

Benefits:

• Health and dental insurance


• Meal and food allowances


• Childcare assistance


• Extended parental leave


• Gym and wellness partnerships (Wellhub / TotalPass)


• Profit sharing program (PLR)


• Life insurance coverage


• Continuous learning platforms and internal university programs


• Discounts and partner benefits programs


• Mental health and well-being support platforms


• Language learning and professional development resources


• Additional benefits and corporate perks depending on location and eligibility