AI application engineering
Builds practical LLM-backed products with clear system boundaries, tooling choices, and production concerns in mind.
- Prompt and workflow design
- AI API integration
- Agentic orchestration
- Automation around digital products
AI systems, cloud delivery, production software
Bruno Viana
AI Systems Engineer
Senior software engineer focused on Python systems, LLM applications, agentic workflows, and cloud-backed architectures. Built for teams that need credibility, clarity, and clean execution.
Based in
São Paulo, Brazil
Available
10+ years
Professional experience
LLM and agentic systems
Current focus
Backend, AI, cloud
Core scope
Available
Senior IC, consulting, AI delivery
Well suited for product teams, consulting engagements, and backend-heavy AI initiatives.
Built across enterprise software, fintech, marketplaces, games, and applied AI.
Core stack
Python, Django, FastAPI, React, Angular, TypeScript
Cloud
AWS (EC2, Lambda, RDS, S3, IAM, CloudWatch)
AI scope
LLM apps, AI automation, API integration, multi-agent workflows
Core strengths
A technical profile shaped by backend depth and practical AI delivery.
Structured to show where Bruno operates strongest and what kind of work he drives best.
Python and backend systems
Strong foundation in API design, service integration, and backend architecture for systems that need to keep operating cleanly.
- Python
- Django and FastAPI
- REST APIs
- System design
Cloud-backed delivery
Comfortable connecting application layers to pragmatic AWS infrastructure, deployment workflows, and production operations.
- VPC with public and private subnets
- EC2 and Lambda
- RDS, S3, and IAM
- CloudFront, Route 53, ACM, and CloudWatch
Experience
Long-form engineering work in production environments.
A career built on systems that needed reliability, scale, and architectural care.
Apr 2026 — Present
Senior Frontend Engineer
Confidential Consulting Firm (Client: BMW) · Remote
Leading frontend delivery for a BMW financial-domain initiative, focused on scalable microfrontend architecture and production-grade implementation quality.
Key contributions
- Built and evolved a microfrontend architecture using Module Federation (Host + MFEs).
- Delivered Angular 18 features for financial workflows with strong TypeScript standards.
- Supported observability and production troubleshooting with Splunk.
- Worked with SQL Server-backed data flows across frontend integration points.
Stack
Angular 18TypeScriptModule FederationHost + MFESplunkSQL Server
2021 — 2026
Senior Software Engineer
BairesDev · Remote
Worked on a large-scale digital fax platform serving enterprise clients, with emphasis on complex frontend architecture and production system evolution.
Key contributions
- Built and maintained substantial Angular applications for enterprise workflows.
- Integrated distributed backend services into stable frontend experiences.
- Contributed to frontend architecture decisions for maintainability at scale.
- Helped evolve high-demand production systems without compromising operational continuity.
Stack
AngularTypeScriptEnterprise integrationScalable frontend architecture
2017 — 2022
Senior Software Engineer
Dock · Brazil
Delivered web systems and backend services for financial platforms, contributing across APIs, service integrations, and architectural decisions.
Key contributions
- Developed APIs and backend services for financial product flows.
- Built scalable web applications connected to multiple internal systems.
- Worked on service integrations across internal platform boundaries.
- Participated in architecture discussions supporting long-term product evolution.
Stack
PythonAPIsWeb systemsArchitecture
2018
Full Stack Developer
Keyrus · Brazil
Developed systems for data integration and process automation in marketplace operations.
Key contributions
- Built internal web systems for operational data management.
- Automated repetitive business workflows.
- Integrated client platforms and marketplace systems.
Stack
Full stack developmentProcess automationData integration
2013 — 2018
Full Stack Developer
Upbeat Games · Brazil
Worked on mobile publishing support systems, backend APIs, AWS infrastructure, and internal automation for game operations.
Key contributions
- Developed backend services and APIs used by publishing workflows.
- Designed and maintained AWS networking foundations, including VPCs with public and private subnets.
- Deployed production web platforms using CloudFront, S3, Route 53, and AWS Certificate Manager.
- Created data analysis tools for internal visibility.
- Automated parts of the game publication pipeline.
Stack
PythonAWSVPCCloudFrontS3Route 53ACMBackend APIsAutomation
Selected work
Representative projects and current AI direction.
Not a project dump. A smaller set that shows technical range, judgment, and implementation focus.
Enterprise softwareSenior Software Engineer
Enterprise Digital Fax Platform
Large-scale product work on a business-critical communications platform used by enterprise clients.
Challenge
Sustain and evolve a mature platform with complex workflows, high usage, and multiple service integrations.
Contribution
Led substantial Angular implementation work, helped structure scalable frontend architecture, and supported ongoing production evolution.
Outcome
Improved maintainability and delivery confidence in a high-demand production environment.
Stack
AngularTypeScriptDistributed servicesEnterprise UI architecture
FintechSenior Software Engineer
Financial Platform Services
Backend and web delivery across financial systems where service integration and architecture quality mattered.
Challenge
Build and connect backend services that support financial workflows while keeping web systems scalable and coherent.
Contribution
Developed APIs, implemented service integrations, and contributed to architecture decisions across platform initiatives.
Outcome
Strengthened product capabilities through maintainable backend services and better connected systems.
Stack
PythonREST APIsService integrationArchitecture
Applied AIAI Systems Engineer
Agentic AI Automation Prototypes
Current work around LLM-powered task automation, agentic workflows, and AI integration with backend systems.
Challenge
Move from experimentation to architectures that can support real product tasks with reliability and clarity.
Contribution
Designs AI workflows, integrates language models with APIs, and explores autonomous task orchestration for digital products.
Outcome
Established a strong applied-AI direction grounded in production engineering rather than demo-first prototypes.
Stack
PythonOpenAI APICrewAIREST APIsCloud
Courses
Recent courses and certifications tied to active learning.
A curated view of training that supports current engineering, AI, and product-facing work.
CompletedCompleted
AI Agents & Workflows - The Practical Guide
Professional course
Focused on practical agent orchestration patterns, workflow design, and real implementation structure.
Agent workflowsTask orchestrationApplied AI systems
CompletedCompleted
AI For Developers With GitHub Copilot, Cursor AI & ChatGPT
Professional course
Developer-focused use of coding copilots and AI assistants in day-to-day implementation workflows.
GitHub CopilotCursorDeveloper productivity
CompletedCompleted
The Complete Python Bootcamp: From Zero to Hero in Python
Professional course
Broad Python training covering language fundamentals, programming patterns, and practical development foundations.
PythonProgramming fundamentalsPractical coding
Stack
Tools, platforms, and delivery capabilities.
Grouped by how they are used in real projects rather than as a resume keyword wall.
AI / LLM
LLM applicationsAgentic AI systemsPrompt engineeringAI automationMulti-agent workflows
Backend
PythonDjangoFastAPIREST APIsSystem design
Frontend
ReactAngularIonicTypeScript
Cloud
AWSVPC designPublic/private subnetsEC2LambdaRDSS3CloudFrontRoute 53ACMIAMCloudWatch
Collaboration
Architecture decisionsCross-functional product workProduction maintenanceTechnical communication
Contact
If you need a senior engineer who can connect software fundamentals with applied AI, start here.
Reach out for full-time roles, consulting engagements, product engineering discussions, or AI system implementation work.