
Senior Developer Analyst – Tech Growth & Innovation
Posted Aug 6

Posted Aug 6
This is a fully remote position, open to applicants in Brazil.
• Design and implement applied AI solutions along with integrations for both internal and external systems.
• Create and sustain AI agents, RAG flows, tools for querying internal databases, and automations focused on business processes.
• Execute ingestion, processing, enrichment, and querying pipelines for both structured and unstructured data.
• Develop APIs, backend services, and reusable components that facilitate intelligent assistants, automations, and corporate integrations.
• Seamlessly integrate AI solutions with databases, CRMs, ERPs, automation tools, external services, and the company’s internal platforms.
• Employ best practices for security, traceability, access control, versioning, testing, and observability in the solutions developed.
• Assess business requirements from a technical standpoint, suggest feasible approaches, and convert operational needs into actionable technical solutions.
• Contribute to the advancement of the team's AI platform architecture, taking into account scalability, governance, maintainability, and operational costs.
• Generate proofs of concept, validate technical assumptions, and transition prototypes into production-ready solutions.
• Document solutions, technical decisions, integrations, APIs, data flows, and operational criteria thoroughly.
• Oversee executions, errors, token usage, performance, and the quality of responses generated by AI agents.
• Collaborate closely with business units, security, infrastructure, architecture, and other technical teams to ensure alignment in technical and operational deliveries.
• Advanced expertise in at least one contemporary programming language (such as Python, JavaScript/TypeScript, Go, Java, or similar).
• Proficiency in backend development with REST APIs.
• Familiarity with modern backend frameworks (like FastAPI, Express, NestJS, Spring Boot, or their equivalents).
• Knowledge of SQL and data modeling.
• Experience with PostgreSQL.
• Integration experience with LLMs and AI APIs.
• Understanding of RAG, embeddings, vector search, and vector databases, preferably pgvector.
• Skills in developing AI agents, tools, memory, instructions, workflows, and orchestration.
• Proficiency in Git, versioning, code review, and development best practices.
• Experience with Docker and running containerized applications.
• Competence in automated testing, logging, error handling, and technical documentation.
• Ability to integrate corporate systems through APIs, webhooks, queues, or scheduled jobs.
• Basic understanding of application security, authentication, authorization, and handling sensitive data.
• Bachelor's degree in Information Technology, Computer Science, Software Engineering, Information Systems, Systems Analysis and Development, Computer Engineering, or related fields.
• Preferred: Experience with Agno.
• Preferred: Experience with n8n.
• Preferred: Experience with Azure, AWS, or GCP.
• Preferred: Knowledge of Kubernetes or container orchestration.
• Preferred: Experience with LangChain, LangGraph, CrewAI, or similar frameworks.
• Preferred: Proficiency in React and TypeScript for developing basic operational or validation interfaces.
• Preferred: Familiarity with CI/CD practices.
• Preferred: Knowledge of observability, tracing, metrics, and monitoring.
• Preferred: Understanding of LLMOps, response evaluation, guardrails, and human-in-the-loop processes.
• Preferred: Experience with ETL, Polars, DuckDB, or large-file processing.
• Preferred: Knowledge of software architecture, messaging, and microservices.
• Preferred: Experience in corporate environments, CRM, ERP, and integrations with legacy systems.
• Competitive salary
• Meal or food allowance
• Transportation allowance
• Health insurance (private room accommodation)
• Healthtech platform - Dr. Alper
• Dental plan
• Pharmacy assistance
• TotalPass: gym membership network
• Study support (certain rules apply for this benefit)
• Career development opportunities: online learning and corporate education programs
• Partnerships with educational institutions providing course discounts
• Quality of Life Program - Qualituran
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