Name: TECLA
Brand: TECLA
Rating: 4.9 (62 reviews)

Case Studies

E-commerce AI Personalization

A fast-growing e-commerce brand wanted to build a personalized shopping engine powered by LLMs. Tecla placed a team of:

Machine Learning Engineers (GPT-4, Claude)
Backend Python Developers (FastAPI, LangChain)
Prompt Engineers for RAG tuning

The team helped launch a proof-of-concept in just 60 days.

‍

‍Financial Services Chatbot

A fintech client engaged Tecla to develop a secure, compliant AI chatbot using private LLMs. The nearshore AI Pod included:

AI Product Manager
DevOps + MLOps Engineer
Fine-tuning Specialist (LLama2, OpenAI API)
QA Engineer with test automation for NLP flows

2017

Machine Learning

Python

C++

Lucas Arneiro

AI Developer

From

Brazil

Years of Experience

Lucas is a Mechatronics Engineer with a post-graduate degree in Software Engineering. Later, he specialized in AI and Machine Learning, combining his expertise in providing agile AI solutions for several world-recognized companies like KPMG Lighthouse. He's an expert in different technologies such as Python, C++, SQL, Automation Anywhere, Machine Learning, Azure Microsoft, and Big Data.

2013

Machine Learning

Deep Learning

Python

César Juarez

Machine Learning Engineer

From

Mexico

Years of Experience

César is an accomplished Machine Learning Engineer with data science, statistical analysis, and machine learning expertise. He excels in using Python and various frameworks, including TensorFlow and Scikit-learn. César has a proven track record of working with international companies and startups, collaborating in globally distributed teams. With strong English proficiency and experience in remote work, he seamlessly integrates into diverse environments. César's passion for open-source projects and commitment to continuous learning make him valuable in developing machine learning solutions.

2015

Machine Learning

Deep Learning

Python

Natalina Neves

AI Developer

From

Argentina

Years of Experience

Natalina is a Software Engineer with several specializations in AI, Machine Learning, and Deep Learning. She co-founded a sales & customer success coaching software that helps contact center teams succeed by providing AI-powered guidance after every call. Her area of expertise is connecting AI and sales teams to drive results faster and more efficiently.

2008

Machine Learning

Data Science

Python

Pedro Pereira

ML / Big Data Engineer

From

Brazil

Years of Experience

Pedro is a seasoned professional with expertise in data engineering, advanced analytics, and machine learning. With over 15 years of experience, he has a proven track record in managing projects, implementing AI/ML strategies, and resolving complex problems. Pedro's skills include data science, machine learning, cognitive solutions, and a wide range of technical tools such as Python, Pyspark, SQL, Hadoop, and AWS.

2015

C++

SQL

Python

María Curetti

AI Developer

From

Argentina

Years of Experience

María is an Electronic Engineer with a Ph.D. in Engineering Sciences. She is a seasoned AI developer and Data Scientist with experience in one of LatAm's biggest e-commerce platforms, Mercado Libre, and deep learning research in educational institutions. She is an expert in data classification and models, simulations, neural network design, and programming languages like C++, Python, SQL, and others.

2003

Machine Learning

Big Data

Predictive Analytics

Alfredo Passos

Machine Learning Engineer

From

Brazil

Years of Experience

Alfredo is a highly experienced professional with expertise in Operations Research, Advanced Analytics, Big Data, and Machine Learning. With over 13 years of consultancy experience, he specializes in forecasting, clustering, classification, deep learning, and natural language processing. Alfredo holds a Ph.D. in Operations Research/Production Engineering and has completed Python and deep learning specializations. His expertise in machine learning enables him to develop and implement advanced analytics solutions for effective decision-making.

2016

Machine Learning

Azure

Java

Robson Sampaio

AI Developer

From

Brazil

Years of Experience

Robson has a Master's in Strategic Management in Software Engineering, MBA in Software Engineering, and a Bachelor's in Information Technology Management. He is a specialist in Full Stack Software Development, Big Data, Machine Learning, Artificial Intelligence, Artificial Neural Networks, Deep Learning and enjoys the Continuous Integration methodology of DevOps.

2003

Machine Learning

Python

Java

José Ferreira

Machine Learning Engineer

From

Colombia

Years of Experience

José is a Data Engineer at Grupo Abraxas with experience in Python, Java, and Scala. He specializes in distributed technologies like Hadoop, Spark, and MapReduce and has expertise in Azure platforms such as Databricks, Data Factory, and Synapse Analytics. Jose has worked on data lakes, cloud migration, and pipeline automation projects. He has a strong AI and machine learning background, particularly in medical diagnosis, prognosis, and treatment. Jose holds certifications in Data Science and Statistics with Python and has completed nano degree programs in Data Engineering and Machine Learning Engineering.

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The Benefits of Hiring in Latin America

Top AI Talent

Tap into a pipeline of AI experts proficient in LLMs, multimodal architectures, embeddings, fine-tuning, and cloud-based ML workflows.

Cost-Effective Innovation

Our nearshore teams offer competitive rates, making AI experimentation and scale more feasible.

Frictionless Collaboration

hared time zones and cultural fluency create a smoother feedback loop, especially critical when testing models in production.

Rapid Scaling

From PoC to production: scale your AI capabilities in weeks, not months.

In-Person Possibilities

Proximity allows occasional face-to-face collaboration, building trust and alignment.

Why Tecla?

Elite Vetting for AI Developers

We don’t just look at resumes. We test technical skills in AI frameworks (TensorFlow, PyTorch, LangChain), assess English communication, and validate experience through projects and references.

Built-In Compliance

From NDAs to IP protection, we ensure every AI project is legally safe and HR-compliant. Our regional footprint means we handle local contracts, benefits, and payroll.

AI-Ready Infrastructure

Need cloud credits, high-memory compute, or GPU access? We help ensure your engineers have the right setup from day one.

Success Management Layer

Your Tecla Success Manager ensures retention, performance reviews, and roadmap alignment. That’s peace of mind as you scale GenAI capabilities.

FAQs About Hiring Generative AI Developers

What is a nearshore Generative AI team?

It’s a dedicated team of AI professionals located in Latin America, working in sync with your product and data teams. They specialize in LLMs, prompt engineering, and full AI lifecycle delivery.

How much does it cost to hire generative AI developers?

Rates vary by skill level and team size, but expect significant savings compared to the U.S.-based hires. Tecla provides a transparent pricing model with flexible contracts.

Which AI roles can Tecla help with?

Machine Learning Engineers
Prompt Engineers
AI Product Managers
MLOps & DevOps Engineers
Data Scientists & Annotators
QA Engineers for AI systems

How fast can we start?

We typically place vetted candidates within 2–3 weeks. Full Pods can be assembled in under 30 days.

Have any questions?

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