**Job Description:** ---------------------- Automation Orchestration (n8n & Logic): Develop and maintain complex workflows in n8n, integrating diverse APIs, ensuring robust error handling and advanced conditional logic. AI and Agent Engineering: Design and implement AI agents capable of reasoning and executing tasks. This includes advanced Context Engineering to ensure the model receives the correct data at the right time (RAG – Retrieval-Augmented Generation). Serverless Backend & Cloud (AWS): Create AWS Lambda functions (Python/Node.js) for data processing and integrate storage and query solutions using Amazon S3 and AWS Athena. Data Manipulation (SQL & Python): Manage and query large volumes of data in PostgreSQL and data lakes, optimizing queries for performance and structuring data for consumption by AI agents. Hybrid Scripting: Switch between Python (for heavy data manipulation and AI libraries) and JavaScript (for JSON manipulation and scripts within n8n/Lambda), as required by the solution. **Mandatory Requirements:** ------------------------------ Bachelor’s degree in Data Analysis, Data Science, Data Engineering, or related fields. Strong experience in Python for analysis and automation. Solid experience in advanced SQL. Experience with process automation tools (e.g., n8n, Airflow). Knowledge of AWS (Athena, S3, Glue). Experience in AI projects applied to data and/or prompt engineering. Hands-on experience in data engineering and best practices in versioning and governance. **Desirable Requirements:** -------------------------- Programming Languages: Strong proficiency in Python (pandas, requests) and JavaScript (ES6+ for automation scripts). Databases: Expertise in PostgreSQL (complex queries, CTEs, indexing) and familiarity with Data Lake concepts (AWS Athena/S3). Integration Tools: Proven experience with n8n (or similar tools such as Airflow/Logic Apps, provided willingness to transition to n8n). Cloud Computing (AWS): Practical experience with serverless services (Lambda) and storage (S3). Prompt/Context Engineering: Deep understanding of how to structure inputs for LLMs (OpenAI, Anthropic, etc.) to produce structured (JSON) and reliable outputs. **Employment Type:** -------------------------- CLT (Consolidation of Labor Laws) **PwD (Persons with Disabilities):** -------- NOT APPLICABLE **Salary:** ------------ $6,500.00 **Benefits:** --------------- Partnerships with educational institutions Psychological support On-site meals Transportation allowance Health insurance Life insurance Semi-annual Profit Sharing Program (PPR) Dental plan Discounts on vehicle and product purchases Gympass **Work Location:** ---------------------- Setor Bueno – T7 **Working Hours:** ------------------------ Monday to Saturday