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Full-Stack Developer – AI
vwbrasil unidades móveis. Create and maintain backend APIs and services that integrate language models (LLMs) with enterprise systems .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in backend API development and integration of language models with enterprise systems, while ensuring security and compliance. Proficient in implementing RAG pipelines and collaborating with cross-functional teams to deliver robust AI solutions.
Highest-signal resume keywords
Python DevelopmentTypeScript DevelopmentLLM API IntegrationREST API ExperienceCloud Platform Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend API DevelopmentRAG ImplementationPrompt EngineeringAutomated TestingCode ReviewsGit Version ControlFrontend FrameworksDatabase ManagementVector Database KnowledgeAgent Frameworks
Soft Skills
CollaborationKnowledge SharingProblem Solving
Tools & Technologies
AWSAzureGCPDockerKubernetesTerraformReactNext.jsCI/CDMessaging Systems
Industry Keywords
Data ProtectionLGPD ComplianceAutomotive IndustryManufacturing Industry
Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformJavaScriptKubernetesNext.jsNode.jsPythonReactServiceNowTerraformTypeScript
About the role
Key responsibilities & impact- Create and maintain backend APIs and services that integrate language models (LLMs) with enterprise systems
- Implement RAG pipelines, including ingestion, chunking, embeddings, and vector search
- Build agents and tool use/function calling workflows connected to internal APIs and databases
- Create web interfaces for AI interactions, including response streaming, user feedback, and error handling
- Define and implement model evaluation, observability, resource management, and latency practices
- Ensure security and compliance, including data protection (LGPD), prompt injection prevention, access control, and audit trails
- Develop the necessary tests for each use case
- Document solutions and share knowledge with the team
- Collaborate with product, data, and information security teams
Requirements
What you’ll need- Proven professional experience in software development
- Proficiency in Python and/or TypeScript/Node.js for backend development
- Experience with modern frontend frameworks (React, Next.js, or similar)
- Hands-on experience integrating LLM APIs (e.g., Anthropic Claude, OpenAI, AWS Bedrock) into production applications
- Knowledge of prompt engineering and RAG
- Experience with REST APIs, relational and non-relational databases, and messaging systems
- Experience with cloud platforms (AWS, Azure, or GCP), containers (Docker), and CI/CD
- Strong engineering practices: automated testing, code reviews, and Git version control
- Intermediate to advanced English proficiency
- Nice to have: knowledge of and experience using vector databases; experience with agent and orchestration frameworks and MCP; experience with LLM evaluation and observability tools; Kubernetes and Terraform; integration with SAP, Salesforce, or ServiceNow; experience in the automotive or manufacturing industries
Benefits
Comp & perks- Medical and Dental Insurance – with copayments for consultations and exams
- Profit-Sharing Bonus (PLR)
- Private Pension Plan
- Personal Accident Benefit Plan
- Transportation Allowance
- Group Life Insurance
- Funeral Assistance
- Meal Allowance
- Meal Voucher
- Childcare Assistance
- Home Office Allowance
- Vehicle rental program offered in partnership with Banco Volkswagen
- Discount on the purchase of a new vehicle from VWB
- Long-Service Recognition Award