AI Staffing Solutions

AI hiring moved into a category of its own. The work changes shape every quarter, the skills compound differently, and the people who can do it are not on the same channels as the people building everything else.

Tecla spent the last decade growing the network that finds them. The practice evolved alongside the field, from machine learning to LLMs to agentic systems, with the same team accountable from briefing through the months after the hire.

A talent pool built around AI and machine learning, across the US and Latin America.
3 to 5 days
To first candidates in your inbox
90%
Pass-rate accuracy in AI technical assessment
10K+
AI profiles analyzed per month
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Trusted by leading companies

Hear from our clients

Tecla is organized and provides a strong partnership experience. From hiring multiple engineers within weeks to maintaining consistent communication and feedback, they've shown real professionalism. Their follow-up and collaboration made the entire staffing process efficient and enjoyable.

Kristen Marcoe

Director @ Credo AI

I’m very happy with Tecla. Their support has improved our QA process, reduced bug reports by half, and made our onboarding process twice as fast. The team is responsive, cost-effective, and delivers high-quality candidates on time. Tecla has truly become a trusted extension of our internal hiring team.

Meit Shah

Principal PM @ Stash

It was a pleasure working with Tecla. Their team quickly understood our hiring needs and found candidates that matched our technical requirements perfectly. Communication was seamless, and they were always quick to respond and deliver results. Tecla’s attention to quality made the entire experience smooth and efficient.

Mayya Bozhilova

Manager @ Three Space Lab

Tecla successfully found candidates for our team and handled the entire process from scheduling to interviews. They were timely, responsive, and always kept communication flowing through email and messaging apps. I was really impressed with Tecla’s follow-up and thoroughness throughout the process.

Jessica Warren

Head of People @ Chowly

Tecla's business model and team set our company up with engineers that we have the real possibility of working with long-term and can grow with our business. Tecla came in highly recommended, and their pace from introduction to engagement to presenting candidates was very fast.

David Bradley

Founder @ QPilot

Internally, we're moving much faster than we were without the remote engineers Tecla recruited for us and we've been able to implement far more features. Once we brought on our first full-time designer in South America, it made the quality of our user interface, product, and marketing efforts increase substantially.

Drew Batshaw

CTO @ Waggl

When we started our recruiting initiatives for LATAM developers, it was crucial for us to rely on a company that could provide deep local expertise to help us identify the best software developers in Latin America. The teams at Tecla really go the extra mile to understand our needs, which is what has made our partnership so successful!

Douglas Santos

Lead Tech Recruiter @ HomeLight
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Hiring for AI transformation

AI transformation is changing what work looks like inside companies. The shift shows up in two ways: the new roles building the AI systems, and the existing roles evolving around them. Both shape what the transformation actually becomes.

Our network reaches both ends. AI specialists working on LLM applications, MLOps, and agentic systems. AI-forward talent across engineering, product, design, and operations rethinking how the work gets done.

AI Specialists

Building the systems
LLM engineers, MLOps, prompt engineers, AI agent developers, and the AI scientists shaping foundation model work and agentic systems.

AI-Forward Talent

Reshaping the work
Engineers, product managers, designers, and operators who bring AI-first thinking into the roles they already hold, transforming how work actually moves.

The AI roles we cover

From foundation models to applied production work, our network covers the full range of AI talent. Each profile vetted against the actual stack the candidate would join.

OpenAI Developers

Engineers who ship production apps on GPT-4. Navigate function calling, manage token budgets, design fallbacks for when the API breaks.

LLM Engineers

Engineers who work across foundation models. Fine-tune Llama, prompt-engineer GPT-4, decide when each approach fits. Inference, training, and serving.

Databricks Developers

Engineers building data and AI pipelines on Databricks. From lakehouse architecture to MLflow workflows and the Spark layer underneath.

NLP Developers

Engineers building language systems beyond LLMs. Classification, search, named entity recognition, sentiment analysis. The full NLP toolkit.

Industries deploying AI

AI is no longer a vertical. The industries hiring the most AI talent now include AI-native startups and enterprises adopting AI across operations. Our network covers both ends.

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SaaS & Enterprise

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Fintech

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AI & Machine Learning

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HealthTech

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Cybersecurity

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E-commerce & Retail

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EdTech

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Logistics & Supply Chain

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Energy Tech

How the engagement runs

A Tecla fractional engagement runs as one continuous relationship from scoping through renewal. Six stages, with the last two designed to do what most fractional marketplaces leave to the client.

AI specialists path
AI-forward path

Define the technical core

Map the stack, models, production work.

1

Identify where AI fits

Find where AI reshapes the role.

Source AI-deep talent

Engineers shipping production AI.

2

Source AI-fluent generalists

Product, design, ops people.

Vet for production work

Frameworks, trade-offs, real systems.

3

Vet for AI-first thinking

How they reshape work around AI.

Both paths converge here

4

Integration

First 90 days covered. Replacement guarantee. Account Manager throughout.

5

Scaling the capability

Same network covers the squad, the adjacent stacks, the team that follows.

The team behind every AI hire

Most of what determines whether an AI hire works is who stays close to it over time. We assign two dedicated people to the engagement and keep them in place from briefing through ramp-up and beyond.

Account Manager

Owns the hiring process until the engineer signs. Understands the AI stack, presents the candidates, and stays the same person from briefing through offer.

Success Manager

Owns the relationship after the hire. HR, compliance, onboarding, and the day-to-day of the engagement past signing. Always available as your AI team grows.

Three ways to engage

AI work comes in different shapes. A team building from scratch needs something different from a team scaling an existing capability. Three engagement models, one network behind all of them.

Option 1

Full-time embedded

40 hrs/week, dedicated to your roadmap

Engineers fully embedded in your team, on your stand-ups, in your codebase. The default for roles you would have hired in-house.

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 Project & on-demand

Hourly, no minimums, scoped to the project

Senior expertise booked for a defined scope. A fine-tuning sprint, an evaluation framework build, an LLM migration, then handoff.

Option 2
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Dedicated AI squad

3 to 8 engineers working as a unit

For companies building a full AI capability or scaling an existing team. One Account Manager across the squad, one partner across the engagement.

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Option 3

AI staffing solutions, built around the field

AI work draws different kinds of talent now: specialists inside the AI engine room and talent shaping how work gets done. We source across both, through one network.

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Beyond AI staffing

AI staffing is one part of building an AI-driven team. The full network also delivers AI itself, end to end.

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AI Transformation Services

We embed AI into how your business operates, from strategy to shipped systems. Agentic development, workflow automation, and custom AI builds, delivered by senior engineers.

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LLM Training Services

Expert human data for frontier labs and AI teams. RLHF, red teaming, model evaluation, and specialized data collection from senior practitioners.

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Nearshore Staff Augmentation

Pre-vetted senior engineers added to your team in 3 to 5 business days, fully managed by Tecla.

Frequently asked questions

How long does an AI staffing engagement take?

First candidates are presented within 3 to 5 business days. The full recruitment process timeline depends on role specialization, but the targeted shortlist is typically delivered within the first two weeks. The hiring process is run by a dedicated team for the duration of the engagement.

What AI roles do you cover?

OpenAI developers, LLM engineers, prompt engineers, NLP developers, computer vision developers, MLOps engineers, machine learning engineers, data scientists, AI agent developers, and specialists across LangChain, Databricks, OpenCV, and Pinecone. The AI and machine learning staffing practice covers the full stack.

Do you place AI specialists or AI-forward talent?

Both. AI specialists are the engineers building the technical core of AI products, from foundation model work to agentic systems. AI-forward talent are engineers, product managers, designers, and operators who bring AI-first thinking into roles that existed before AI reshaped them. Our network reaches both ends, vetted against different rubrics but integrated through the same engagement.

How is Tecla different from other AI staffing agencies?

Most AI staffing agencies built their networks for traditional engineering, then adapted to AI as it grew. Tecla's practice evolved alongside the field itself, from machine learning to LLMs to agentic systems. AI-fluent recruiters evaluate candidates against the cutting-edge tools your team actually uses, with the same team accountable from briefing through the months after the hire.

Does the 90-day guarantee apply to AI staffing placements?

Yes. If the hire does not work within the first 90 days, we replace the engineer at no additional cost from the same talent pool. The guarantee is standard across every AI staffing engagement, including specialist roles where finding the right replacement may take longer than the initial search.

Can Tecla scale our AI team as we grow?

Yes. The same network supports the long-term progression of your team, from individual AI professionals to dedicated AI squads or full AI engineering teams. One partner across the engagement, no vendor switching as the team grows. Many clients start with a single hire and expand into a dedicated AI squad of 3 to 8 engineers over time.

What does AI staffing cost compared to traditional staffing agencies?

Pricing is all-inclusive, with no upfront fees, no fees to start an engagement, and no charges for interviews. EOR, compliance, payroll, and HR are included. Clients are billed only for hours worked. Most staffing solutions agencies layer fees across placement, payroll, and ongoing management, leading to total costs 30 to 40 percent higher than a transparent all-inclusive model.

Where does Tecla source AI talent from?

One network across the US and 18+ Latin American countries. AI staffing experts cover both regions, sourcing AI engineers, data scientists, and machine learning engineers from a talent pool built up over more than a decade of senior tech recruiting. Same standards, same hiring process, regardless of location.

Do you cover both AI-native companies and enterprises adopting AI?

Yes. AI transformation is changing what work looks like inside companies, and our talent pool fits both ends of that shift. AI-native startups building from scratch need engineers comfortable with foundation models and prompt-first workflows. Enterprises adopting AI across operations need talent that can integrate AI into existing systems and reshape how work gets done. The network reaches both.

Does Tecla offer services beyond AI staffing?

Yes. The full network also delivers AI itself, end to end. AI Transformation Services covers agentic development, workflow automation, and custom AI builds. LLM Training Services covers expert human data for frontier labs, including RLHF, red teaming, and model evaluation. Nearshore Staff Augmentation covers senior tech roles beyond AI specialization.

Have any questions?
Schedule a call to discuss in more detail.
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