Systems Analyst

Jobtailor; Ijuí; Presencial; BRL 120 000 - 240 000; Tempo integral

Resumo da oferta

Jobtailor is seeking an AI/backend engineer in Brazil to translate business needs into scalable API-driven solutions. You will design flowcharts, build backend services and integrate with major cloud AI platforms.

Your work involves Python development, REST APIs, data handling and collaboration with data science teams to deploy models, monitor performance and improve processes.

Qualificações

• Bachelor’s degree in IT or related field.
• Experience with API integration (REST/JSON, auth, error handling).
• Strong Python knowledge for API consumption and integration development.
• Backend fundamentals: endpoints, services and API best practices.
• Knowledge of SQL.
• Ability to create flowcharts and process diagrams.
• Familiarity with Git and PR workflows.
• Awareness of LGPD and data privacy best practices.
• Experience with enterprise data environments and cross-functional teams.
• Experience with cloud/AI services (Vertex AI, Foundry, Bedrock/SageMaker).
• Python scripting for data processing and automation.
• Developing ML models and pipelines (classification, NLP, etc.).
• Knowledge of orchestration tools (Airflow, Prefect, Dagster).
• Basic containers (Docker) and CI/CD deployment.
• Observability basics (logs, metrics, tracing).
• Experience with vector embeddings and semantic search (RAG).

Responsabilidades

• Gather and translate business needs into technical requirements.
• Design and maintain flowcharts and technical documentation (e.g., BPMN, sequence/architecture diagrams).
• Conduct experiments and PoCs to validate AI technologies and automations.
• Implement and test AI solutions via APIs (OpenAI, Azure Foundry, AWS Bedrock or equivalents).
• Develop backend services and REST APIs to production and 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 and support adjustments based on data.
• Contribute to the organization’s data and AI culture by sharing learnings.

Conhecimentos

Python programming

API integration

REST/JSON

Git workflows

SQL

Cloud AI services

ML model deployment

Data processing scripts

AI ethics & privacy

Documentation

Formação académica

Bachelor’s degree in Information Technology

Ferramentas

FastAPI/Flask/Django

Docker

Airflow/Prefect/Dagster

Git

Descrição da oferta de emprego

Responsibilities

• 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

• 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.