Senior AI Engineer

Location
Brazil
Desired Salary
25 - USD/hourly
Work preference
Full Time
Joined
3 Jul 2026
Field / Industry
Software Engineering
Status: Actively looking
Relocation: No
Notice Period: Immediate

This user has not passed any tests yet

English - Portuguese - Spanish -

About Me

I am a Senior AI Engineer and Software Architect with more than 10 years of experience building and scaling high-performance platforms across artificial intelligence, distributed systems, video streaming, blockchain, and cloud infrastructure.

I specialize in production-grade AI systems, including RAG pipelines, private AI platforms, multi-agent architectures, and distributed inference engines. My work is guided by an engineering-first mindset, with a strong focus on scalability, reliability, cost efficiency, and practical deployment.

I have contributed to mission-critical platforms serving millions of users, including work on the largest Video CDN in South America at Globo. I have also led architecture and infrastructure initiatives in remote-first environments, helping teams improve observability, delivery velocity, and system resilience.

My background includes designing hybrid cloud and HPC solutions, optimizing AI workloads, and building systems that reduce infrastructure costs while improving throughput and performance. I enjoy solving complex technical problems that require both deep architectural thinking and hands-on implementation.

Over the years, I have worked across software engineering, DevOps, AI infrastructure, and backend architecture, using technologies such as Python, Go, TypeScript, AWS, Docker, Kubernetes, Terraform, and vector databases. I have also built products from the ground up as a founder and principal engineer.

I am based in Brazil and open to remote opportunities. I speak Portuguese natively, am fluent in English, and have professional Spanish skills. I am looking for challenging roles where I can continue building advanced AI and distributed systems at scale.

Skills

PythonAWSJavaScriptKubernetesDockerCI CDTypeScriptMachine LearningTerraformBlockchainDevOpsPostgreSQLMicroservicesRedisGrafanaNginx

Education

Estácio de Sá
2025 - 2026

Postgraduate Certificate in High Performance Computing

UniFECAF
2025 - 2026

Postgraduate Certificate in AI in Marketing & Growth

UniFECAF
2025 - 2026

Postgraduate Certificate in Blockchain Development

STAR Research Institute & Sigmoidal
2025 - 2027

Postgraduate Certificate in Data Science

Dual certification

Estácio
2020 - 2023

Technology Degree in Data Science

Universidade Veiga de Almeida
2014 - 2019

BSc in Computer Science / Software Engineering

Experience

Staff Software Engineer - AI Infrastructure & Distributed Systems @ BeConfident
Feb 2026 - Present

Driving cross-team architecture for scalability and sustainability; designing resilient distributed systems; improving video quality, real-time communication, and platform performance; contributing to WhatsApp real-time calling infrastructure; partnering on applied AI initiatives; establishing observability and reliability standards; leading incident response and post-mortems; mentoring engineers.

Principal Software Engineer - AI Infrastructure & Distributed Systems @ Magic (Research Magic)
Jan 2025 - Feb 2026

Built Fabric Hypergrid, a distributed AI computational platform; architected a computational hypergrid for Harvard and Boston Children's Hospital; designed AI-powered orchestration and optimization layers with Intel; developed AI-driven molecular analysis for SES Battery Innovation; built a private AI platform; engineered the Rapyd AI Model Optimization Engine.

Lead Software Engineer @ FANHERO
Oct 2020 - Sep 2025

Reduced AI inference latency by 40%; increased platform reliability to 99.9% uptime; cut cloud infrastructure costs by 35%; improved RAG pipeline accuracy to 92%; enabled real-time processing of 10K+ events per second.

Founder @ VOODFY
Oct 2020 - Jun 2021

Integrated HLS, MPEG-DASH, and Smooth Streaming into Filecoin; launched a decentralized video platform; reduced video hosting costs by 60%.

Lead Software Engineer @ GLOBO
Sep 2018 - Oct 2020

Delivered video content to millions of concurrent users with 99.99% availability; won engineering awards; handled 300%+ traffic surge during COVID-19; launched 4K content delivery pipeline; reduced video startup time by 25%.

Principal Engineer / Founder @ ROY
Apr 2018 - Sep 2018

Launched OTT SaaS platform from zero to production; reduced deployment time by 70%; managed AWS infrastructure for enterprise clients.

DevOps Engineer (Blockchain Video Platform) @ PARATII
Mar 2018 - Jul 2018

Automated deployment pipeline reducing release time by 80%; achieved 99.5% video transcoding success rate.

Lead Software Engineer @ MAESTRUS
Oct 2017 - Feb 2018

Redesigned video platform architecture improving performance by 50%; built secure video hosting system for enterprise customers.

Lead Software Engineer @ EUGOSTO.DE
Mar 2017 - Sep 2017

Increased content engagement by 40%; migrated legacy PHP/WordPress platform to Python/Django; improved audience targeting accuracy by 35%.

Software Engineer, Level 3 @ TRIPLIN
Mar 2017 - Sep 2017

Improved travel recommendation accuracy by 45%; reduced booking abandonment rate by 25%; built scalable REST APIs for 5K+ daily active users.

Software Engineer, Level II @ FLAGCX
Jun 2016 - Mar 2017

Delivered social media analytics tools for Fortune 500 brands; improved brand sentiment analysis accuracy by 30%; enabled data-driven marketing decisions.

Software Engineer II @ STORM SECURITY
Mar 2016 - Jun 2016

Architected a video streaming platform for Esporte Interativo; achieved 99.9% video delivery uptime; reduced buffering incidents by 40%.

Software Engineer I @ LINKZTER
Jul 2015 - Feb 2016

Launched a mobile social networking app; reduced API response time by 50%; built scalable backend infrastructure with real-time features.

Software Engineer I @ HADRONS
Jun 2015 - Nov 2015

Reduced deployment failures by 90%; improved test coverage to 85%; decreased page load time by 60%.

Software Developer @ TREE SOFTWARE
Nov 2014 - Jun 2015

Delivered 5+ production applications; reduced manual deployment time from hours to minutes; improved system reliability through testing.

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