Tesoro AI is a talent acquisition company specializing in connecting global enterprises with top-tier AI and software engineering talent from Latin America. The company operates on a…
AI Talent AcquisitionData ScienceLatin AmericaMachine LearningNearshore HiringPerformance-Based PricingSoftware EngineersStaff Augmentationtesoroai.com
Tesoro AI
Tesoro AI is a talent acquisition company specializing in connecting global enterprises with top-tier AI and software engineering talent from Latin America. The company operates on a…
AI Talent AcquisitionData ScienceLatin AmericaMachine LearningNearshore HiringPerformance-Based PricingSoftware EngineersStaff Augmentationtesoroai.com
HQMedellín, CO
Team Size4
Open Jobs3
Total Funding-
Latest FundraiseUnknown
Join the Team
Senior Software Engineer
HybridMedellín, Antioquia, CO
Hybrid • Medellín, Antioquia, CO
About the Role
We are looking for a full-time Senior Software Engineer to help design, develop, deploy, and scale microservices and infrastructure powering our high-performance platforms.
This is a hybrid position based in Medellín, Colombia.
While the ultimate goal of this role is to bridge into real-time Voice AI applications and advanced workflows,
prior production experience in Voice AI or Salesforce Health Cloud is NOT a strict requirement.
We are looking for a strong full-stack / backend engineer with a deep understanding of high-performance system design, low-latency architectures, and a strong commitment to software quality.
).Codebase / Language Spli
t: ~60% Python, ~30% JavaScript / TypeScript, ~10% Other (Java
).Infrastructur
e: Cloud-based (AWS) and Enterprise Platforms (Salesforce ecosystems
**s.
Primary Job Du**
tiesSystem Architect
ure: Leverage cloud-based service providers (AWS) and enterprise platforms (Salesforce) to design and implement production-caliber applications for real-time data processing and administrative self-service workfl
ows.Performance Optimizat
ion: Ensure real-time performance of infrastructure, implementing specific optimizations for low-latency data processing and reliable conversational interacti
**ues.
Required Qualific**
**ation.
Preferred (Nice-to-Have) Qualif**
icationsExperience or familiarity with Voice AI technologies, including ASR (e.g., Whisper, DeepSpeech), TTS (e.g., Amazon Polly, Google WaveNet), or Conversational AI (e.g., Rasa, Dialogflow, Amaz
on Lex).Familiarity with complex enterprise data models, such as Salesforce or Salesforce Healt
h Cloud.Prior experience dealing with U.S. healthcare administrative processes, data data models, or standards (HIPAA, EHRs, Payers/Pro
viders).
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).Role Orientatio
n: Highl
y QA-leani
ng (strong focus on testing, reliability, and robust engineering practices) an
d Architect-leani
ng (low-latency systems design
).Domain Focu
s: Real-time infrastructure (Voice Infra) and workflow management within regulated environment
ons.Quality & Reliability (QA-Leani
ng): Advance software engineering practices by developing automated tests, establishing end-to-end testing guidelines, and contributing to the ongoing improvement of telemetry and system reliability monitor
ing.Complia
nce: Ensure compliance with strict data security regulations while deploying scalable solutions that mitigate bias and improve platform accessibil
ity.Cross-Functional Collaborat
ion: Coordinate product improvements impacting day-to-day operations by working alongside implementation, operations, and technology partners to anticipate and mitigate live iss
ationsEduc
ation: Bachelor’s Degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent relevant work experi
ence).Core Technical S
kills: Strong experience building and maintaining modular, scalable applications
using
Pytho
n and JavaScript / Type
Script, lever
agi
ng AWS cloud-based services and modern DevOps tools (CI/CD, data pipel
ines).Systems D
esign: Proven track record in performant systems design; ability to translate deep knowledge of high-availability, high-throughpu
t, or low-latency archite
ctures into real-time environ
ments.Regulated Environ
ments: Prior production exposure to highly regulated or compliant environments is strongly preferred (
e.g., Fintech, HealthTech, Banking, Gove
rnment, or similar sectors with strict data compli
ance).Tea
mwork: A strong track record of contributing meaningfully to team-based development in a hybrid work environment, aligned with values of ownership, feedback, and open collabor