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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in backend development, API integration, and the application of generative AI technologies. Proficient in creating technical documentation and flowcharts while adhering to best practices in version control and collaborative workflows.
Highest-signal resume keywords
Python ProgrammingAPI Integration (REST/JSON)Backend Development (FastAPI/Flask/Django)Cloud Services (AWS Bedrock, Azure Foundry)Data Processing and Machine Learning
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLAPI DevelopmentBPMNFlowchart CreationMachine Learning PipelinesData ProcessingGenerative AI ImplementationVersion Control (Git)Cloud Services
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
OpenAIAzure OpenAIAWS BedrockDockerAirflowPrefectDagster
Certifications & Qualifications
Bachelor’s Degree in Information Technology
Industry Keywords
AI EthicsData SecurityEnterprise Data EnvironmentsObservabilitySemantic Search
Tech Stack
Tools & technologiesAirflowAWSAzureCloudDjangoDockerFlaskPythonSQL
About the role
Key responsibilities & impact- Support the gathering and understanding of business needs, translating requests into technical requirements;
- Design and maintain flowcharts and technical documentation (e.g., BPMN, sequence/architecture diagrams, data journeys and integrations);
- Conduct experiments and proofs of concept (PoC) to validate the feasibility of new AI technologies and automations;
- Implement and test solutions using generative AI, consuming APIs (OpenAI, Azure OpenAI, AWS Bedrock or equivalents), including basic evaluation of quality, cost and latency;
- Develop backend services and integrations (REST APIs) to put solutions into production and connect with internal systems;
- Participate in the delivery lifecycle within the Foundry ecosystem (publishing, versioning, traceability, asset organization and team collaboration);
- Apply best practices for version control, testing, documentation and reproducibility (Git, environments, logs and traceability);
- Monitor basic performance metrics (technical and product) and support adjustments/iterations based on data;
- Contribute to the organization’s data and AI culture by sharing learnings and proposing continuous improvements.
Requirements
What you’ll need- Bachelor’s degree in Information Technology (or related fields);
- Professional experience with integration and consumption of APIs (REST/JSON, authentication, error handling);
- Strong knowledge of Python (for API consumption, project organization and integration development);
- Backend fundamentals: building endpoints, structuring services and API best practices (e.g., FastAPI/Flask/Django or equivalent);
- Knowledge of SQL;
- Ability to create and maintain flowcharts and process/system documentation (e.g., BPMN, architecture diagrams and integration diagrams);
- Familiarity with Git and collaborative development workflows (pull requests, code review);
- Awareness of AI ethics, privacy and data security (LGPD and best practices);
- Experience (or practical familiarity) with enterprise data environments and working with multidisciplinary teams.
- Experience with cloud and AI services (Google Vertex AI, Azure Foundry, AWS Bedrock/SageMaker);
- Writing Python scripts for data processing, model training/execution and automation routines;
- Developing/evolving machine learning models and/or pipelines (classification, regression, clustering, NLP);
- Knowledge of pipelines and orchestration (Airflow, Prefect, Dagster or similar);
- Basic knowledge of containers (Docker) and deployment (CI/CD);
- Fundamentals of observability/monitoring (logs, metrics, tracing);
- Experience with vector embeddings and semantic search (RAG), where applicable.
Benefits
Comp & perks- Meal or food allowance
- On-site cafeteria
- Transportation voucher
- Dental plan
- Statewide Unimed health plan
- Life insurance
- Annual profit-sharing bonus (PPR)
- Partnership discount program with educational institutions.
