Candiotto Valle Advogados

Solutions Engineer

• Develop and maintain applications that use generative language models (LLMs).
• Create pipelines and automations using LangGraph, LangChain, and FastAPI. Implement and optimize integrations with AI APIs, including OpenAI, Anthropic, Mistral, or similar providers.
• Work with SQL Server / basic SQL for data integration and persistence.
• Collaborate with the data and machine learning teams in designing, testing, and deploying intelligent agents.
• Build and evolve standalone autonomous chatbots capable of reasoning and executing tools and tasks.
• Automate processes and workflows using tools like n8n (desirable). Familiarity with visual scripting to construct complex, modular AI workflows.

AI Solutions and Language Model Developer

QA Engineer

• Test and validate deliveries: work on projects in development and production, verifying they meet the specifications and building tools, scripts, and continuous monitoring routines.
• Structure test plans: define scenarios, edge cases, acceptance criteria, and quality documentation for heterogeneous solutions.
• Test automation: build and maintain automated scripts for web applications, APIs, and internal and external integrations.
• Database testing: validate integrity, synchronization between tables, and data consistency in critical routines.
• Validation of AI solutions: assess the behavior of conversational systems and AI-based agents, using criteria adapted to the non-deterministic nature of these solutions.
• QAOps / CI/CD: include automated validations in the deployment pipeline to ensure continuous quality.
• Reporting and traceability: record bugs, root causes, regression history, and work with the technical team to anticipate problems.

QA Engineer – Quality, Automation and Development

Business Intelligence Developer

• Dashboards and reports: build and evolve BI dashboards with a focus on usability, visual clarity and performance, both in Looker Studio and in the internal tool.
• Business KPIs: define, track and evolve metrics such as CPC, campaigns, payments, performance per negotiator and dialer metrics.
• Analysis and insights: cross-reference information, identify patterns and anomalies, and translate data into concrete recommendations for operations.
• Report auditing: review existing dashboards, identify inconsistencies and ensure that what leadership sees is reliable.
• Collaboration with the technical team: clearly communicate internal tool evolution needs to developers and data engineering.
• Business communication: present results clearly and didactically to non-technical teams, turning numbers into decisions.
• Security and LGPD (Brazilian Data Protection Law): handle financial and personal data in full compliance with privacy regulations.

AI Solutions and Language Model Developer

QA Engineer – Quality, Automation and Development

BI Analyst – Business Intelligence