Python Development, AWS, AI – Mid/Senior

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Mid/Senior-level professional specializing in Python, AWS, and AI.

• Thrive in a collaborative team environment and take ownership of your responsibilities.

• Embrace challenges and seek out new growth opportunities.

• Transform ideas into innovative solutions while maintaining a commitment to quality in all work.

• Possess strong problem-solving abilities.

• Capable of working independently and effectively managing your own schedule.

• Eager to engage with challenging and innovative technological scenarios.

⛳️ Requirements

• Proficiency in developing high-performance applications using Python and frameworks like LangChain, LangGraph, Flask, Django, FastAPI, pytest, and asyncio.

• Understanding of development design patterns, including: Creational (Factory Method, Abstract Factory, Builder); Structural (Adapter, Bridge, Composite); Behavioral (Chain of Responsibility, Command, Interpreter).

• Familiarity with AWS and/or Azure tools and services.

• Adherence to development best practices utilizing SOLID principles.

• Experience with container technologies such as Docker, EKS, ECS, and AKS.

• Knowledge of database systems, both NoSQL and relational; familiarity with DynamoDB and RDS is a plus.

• Experience with CI/CD pipelines: GitHub Actions, GitLab, CodePipeline, CodeBuild, and other CI/CD tools.

• Background in the banking ecosystem, including processes and services.

• Experience with observability tools.

• Familiarity with monitoring tools like Datadog and CloudWatch.

• Strong analytical and troubleshooting skills.

• Knowledge of language models (LLMs) such as GPT, Claude, Gemini, LLaMA.

• Experience with LLM solutions from OpenAI, Azure OpenAI, or AWS Bedrock.

• Proficiency in using frameworks such as LangChain, LangGraph, and Semantic Kernel.

• Understanding of GenAI agent concepts: RAG (Retrieval-Augmented Generation), tool-based agents, embeddings, and vector stores (Weaviate, AI Search).

• Skills in building agents, copilots, and autonomous workflows utilizing LLMs.

• Familiarity with traditional machine learning concepts such as regression, classification, and testing.

🏝️ Benefits

• Multi-benefit card — you select how and where to utilize it.

• Tuition assistance for undergraduate, graduate, MBA, and language courses.

• Incentives for certification programs.

• Flexible working hours.

• Competitive salary packages.

• Annual performance evaluations accompanied by a structured career development plan.

• Opportunities for international career advancement.

• Access to Wellhub and TotalPass.

• Private pension plan.

• Childcare support.

• Comprehensive health insurance.

• Dental insurance coverage.

• Life insurance benefits.