OpenAI Developers
Engineers who ship production apps on GPT-4. Navigate function calling, manage token budgets, design fallbacks for when the API breaks.
Hire NowAI is the rare field where a decade of experience and a year of it can leave someone equally unprepared for what shipped last month. The half-life of a skill is short, and hiring against a moving target is its own kind of expertise. Tecla has spent a decade building a network of vetted technical talent, and extended it into AI as the field emerged, with the same team accountable long after the hire.
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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.
Building the systems
LLM engineers, MLOps, prompt engineers, AI agent developers, and the AI scientists shaping foundation model work and agentic systems.
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.
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.
Engineers who ship production apps on GPT-4. Navigate function calling, manage token budgets, design fallbacks for when the API breaks.
Hire NowEngineers who work across foundation models. Fine-tune Llama, prompt-engineer GPT-4, decide when each approach fits. Inference, training, and serving.
Hire NowEngineers building data and AI pipelines on Databricks. From lakehouse architecture to MLflow workflows and the Spark layer underneath.
Hire NowEngineers building language systems beyond LLMs. Classification, search, named entity recognition, sentiment analysis. The full NLP toolkit.
Hire NowAI 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.
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.
Map the stack, models, production work.
Find where AI reshapes the role.
Engineers shipping production AI.
Product, design, ops people.
Frameworks, trade-offs, real systems.
How they reshape work around AI.
Both paths converge here
First 90 days covered. Replacement guarantee. Account Manager throughout.
Same network covers the squad, the adjacent stacks, the team that follows.
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.
Owns the hiring process until the engineer signs. Understands the AI stack, presents the candidates, and stays the same person from briefing through offer.
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.
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.
Engineers fully embedded in your team, on your stand-ups, in your codebase. The default for roles you would have hired in-house.
Senior expertise booked for a defined scope. A fine-tuning sprint, an evaluation framework build, an LLM migration, then handoff.
For companies building a full AI capability or scaling an existing team. One Account Manager across the squad, one partner across the engagement.
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.
AI staffing is one part of building an AI-driven team. The full network also delivers AI itself, end to end.
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.
Expert human data for frontier labs and AI teams. RLHF, red teaming, model evaluation, and specialized data collection from senior practitioners.
Pre-vetted senior engineers added to your team in 3 to 5 business days, fully managed by Tecla.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.