AI Software Development Services

TECLA enables forward-thinking teams to build powerful AI solutions with the best nearshore software engineers. From traditional machine learning to state-of-the-art GenAI, our vetted developers deliver speed, expertise, and real-time collaboration.
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AI Services You Can Count On

AI Software Development

Full-Cycle AI Software Development

We build, train, test, and deploy tailored AI systems, from predictive analytics to conversational interfaces.

TECLA tech talent grid

AI Staff Augmentation

Need specialized talent fast? Our nearshore model lets you plug in vetted developers, ML engineers, or prompt engineers directly into your team structure.

AI Powered Pods

AI-Powered Pods

We create collaborative, cross-functional AI Pods with AI/ML experts, PMs, and QA. All nearshore and fully integrated with your goals and tech stack.

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Your AI Goals, Delivered Faster

As AI innovation accelerates, so should your development cycles. With nearshore teams, you can adapt quickly without the overhead of U.S. hiring.

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Shorter time-to-hire with pre-vetted engineers

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Timezone alignment for tight iteration cycles

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40–60% lower costs than U.S.-based developers

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Scalable engagement models: full-time, part-time, project-based

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Cultural affinity and high retention rates

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Meet Some of Our AI Experts

2016
Sofía Gómez, AI Developer
Python
TensorFlow
Neural Networks
AI Strategy

Sofia Gomez

AR

Machine Learning Engineer

From 
Argentina
 
 
 Years of Experience
Sofia is a seasoned machine learning engineer with a passion for NLP and computer vision. She has a proven track record in developing AI-driven solutions that enhance business operations and customer experiences.
2012
Carlos Martínez, AI Developer
Cloud AI
Neural Networks
AI Strategy

Carlos Martinez

CO

AI Solutions Architect

From 
Colombia
 
 
 Years of Experience
Carlos is an AI solutions architect who specializes in crafting scalable AI strategies and deploying neural network models. With extensive experience in cloud AI services, he helps businesses navigate the complexities of AI adoption.
2014
Fernanda Rojas, AI Developer
Deep Learning
Data Mining
Predictive Analytics

Fernanda Rojas

BR

Data Scientist / AI Developer

From 
Brazil
 
 
 Years of Experience
Fernanda brings over a decade of experience in data science and AI development, focusing on deep learning and predictive analytics to drive business innovation and growth.
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Benefits of AI Development with TECLA

Top Talent
Deep Expertise Across AI Disciplines
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Our engineers have experience in GenAI, computer vision, NLP, forecasting models, and multi-modal architectures.
Scalable, Flexible Delivery
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Ramp up a single role or a fully staffed AI squad. Choose your velocity and engagement type.
Bilingual and international teams
Clear Communication, Always
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English-proficient and culturally aligned engineers working in your time zone, from Argentina to Colombia and beyond.
Planning
Ready to Ship
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We prioritize action-oriented talent: developers who don’t just theorize, they ship, iterate, and improve continuously.
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AI Software Development

How We Hire the Best AI Developers

Our recruiters guide a detailed kick-off process
01

‍Share Your Vision

We kick off with a strategy session to clarify your tech stack, project goals, and success metrics.
TECLA tech talent grid
02

Meet Your Matches

We curate 2–4 profiles of senior-level AI developers who align with your mission and team dynamics. All sourced through our trusted nearshore talent network.
One of our recruiters interviewing a candidate for a job
03

Interview & Decide

Select, evaluate, and test your top candidates. We support your decision-making with scorecards and technical notes.
AI Software Developers
04

Launch and Grow

Once hired, your new AI team is onboarded quickly with infrastructure, compliance, and success management fully handled by TECLA.
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FAQs About Our Software Development AI Services

What kinds of AI solutions can TECLA teams deliver?

Everything from forecasting tools and recommender systems to GenAI chatbots, semantic search engines, and custom-built LLMs.

Do you support GenAI as well as classical ML?

Yes. Our developers work with both traditional ML and state-of-the-art Generative AI applications, depending on your business use case.

How fast can I get started?

Expect to meet candidates within 5–7 business days. Pods are ready to launch in as little as 3–4 weeks.

What roles can you help fill?
  • Machine Learning Engineers
  • Prompt Engineers
  • MLOps & Infrastructure Engineers
  • Data Scientists
  • NLP/Computer Vision Specialists
  • QA & Automation for AI
  • Technical PMs
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