Hire AI Developers
Get fully vetted senior AI developers with real deployment experience on your team in 2 weeks.
4.9/5
60 client reviews
Why choose between cost savings and quality?
We give you both.
We're a US-based company powered by LATAM dev teams. It's a powerful combination. Procurement is simpler. Quality expectations are shared. Accountability is always there.
Plus, our developers work your hours, speak English, and have experience with US teams. So you get the cost and scalability benefits of nearshore software development - without any of the sacrifices.
“Their engineers perform at very high standards. We've had a strong relationship for almost 7 years.”
The easy way to hire the highest quality AI developers.
We’re a development partner, not a platform. This means we handle everything from recruitment to hardware to certifications. Work with us and enjoy the ease of a white-glove hiring experience.
We have 100s of AI devs on staff.
We have 100s of AI devs on staff.
Meet the senior AI developers behind our best work.
This is the level of talent we place on your team. With 8+ years of experience and multiple complex builds under their belts, our software engineers raise the bar on every project they work on.
Leonardo developed AI-driven financial solutions using microservices architecture and machine learning models, optimizing data analytics for personalized financial insights. He integrated Docker for scalable deployment and utilized SQL for efficient data management, improving financial operations and customer engagement
Julián developed AI-powered dashboards for government administration, ensuring high data quality and effective data cleansing processes. He leveraged machine learning models and BI tools to provide insightful analytics, improving decision-making and operational efficiency in public services.
Feliciano developed AI-driven solutions for IT services, integrating machine learning models with cloud platforms to optimize data processing. He created advanced visualizations using Power BI and Tableau, while leveraging SQL for data management, improving business intelligence and service delivery.
Ana Laura developed AI-driven solutions for manufacturing, optimizing ETL processes and system architecture using Java. She integrated machine learning models into the production workflow and streamlined continuous integration with Jenkins, improving manufacturing efficiency and decision-making.
Leonardo developed AI-driven financial solutions using microservices architecture and machine learning models, optimizing data analytics for personalized financial insights. He integrated Docker for scalable deployment and utilized SQL for efficient data management, improving financial operations and customer engagement
Hundreds of AI projects delivered.
Hire AI developers with a proven delivery record. Our experience across hundreds of artificial intelligence projects means you get software that meets the highest technical and business standards.
Our client needed to automate the time-consuming task of summarizing lengthy legal transcripts. We built an AI tool that capable of summarizing 200–300 pages in under 4 seconds. The tool anonymizes sensitive data, returns editable Word and PDF files, and includes hyperlinks to retain source visibility. It automatically segments text and feeds it into an NLP engine, significantly accelerating turnaround time.
Our client uses AI-driven video technology to create personalized, localized videos at scale. They needed to connect their platform to HubSpot to automate video delivery in email campaigns. We developed a custom solution using Workflow Extensions and CRM Cards, enabling asynchronous video generation linked to individual contacts. A webhook system stores each video URL in a HubSpot field, streamlining distribution and eliminating manual steps.
This client is creating a development environment for building and testing AI pipelines with LLMs. We provided full-stack engineering support to improve performance, scale, and user experience. Our team worked on intuitive front-end components and scalable back-end services designed to handle experimentation and monitoring. These improvements helped simplify LLM pipeline prototyping and speed up iteration cycles.
Our client builds humanoid robots powered by AI for navigation, manipulation, and voice interaction. They needed to advance their robotic arm automation and improve how systems interpret and replicate human actions. We developed ROS2 simulations for precision control, integrated CAN bus protocols for robotic towing, and improved video-based segmentation to support pose detection and tool tracking. These upgrades made it easier for robots to learn from human demonstrations and operate across different systems.
This logistics company uses AI/ML to streamline catalog classification and manage cloud spending. We built a hierarchical classification model using Amazon labels and Gemini, cutting costs from $30,000 to $300 per million classifications and reducing latency from 40 seconds to 1.5 seconds. Our team improved tax classification accuracy to 95% with RAGFusion and semantic chunking. We also migrated models to GCP and automated MLOps workflows, reducing overall cloud costs by 80%.
This client uses AI to automate HVAC diagnostics and water infrastructure monitoring. We developed cloud infrastructure to support predictive diagnostics and real-time monitoring and built scalable REST APIs to connect with AI-powered inspection robotics. Our team also optimized PostgreSQL queries to improve defect detection accuracy. The result was a 90% reduction in manual review, supporting faster, more efficient maintenance.
Need extra AI expertise?
Plug us in where you need us most.
We customize every engagement to fit your workflow, priorities, and delivery needs.
Staff Augmentation
Get senior, production-ready developers who integrate directly into your internal team. They work your hours, join your standups, and follow your workflows—just like any full-time engineer.
Dedicated teams
Spin up focused, delivery-ready pods to handle full builds or workstreams. Together we align on priorities. Then our tech PMs lead the team and drive delivery to maintain velocity and consistency.
Software outsourcing
Hand off the full project lifecycle, from planning to deployment. You define the outcomes. We take full ownership of the execution and keep you looped in every step of the way.
We don’t settle for anything less than the best, and neither should you. Our long, rigorous vetting process ensures only top performers work on your software development projects.
Get AI results you can stand behind.
How we find the best-fit devs for your AI projects:
With hundreds of dedicated AI developers on our team, we focus on one thing: finding the right fit. We bring in senior AI engineers who’ve worked in teams like yours and built solutions like yours.
Verified AI Expertise
Every AI developer we put on your project has passed a rigorous technical evaluation focused on real-world production challenges. We assess how they manage data drift, optimize GPU usage, structure modular pipelines, and build CI/CD workflows designed for reliability and cost control.
Fewer than 1 percent of applicants advance through our multi-stage process. The AI engineers who do have proven they can meet our delivery standards. That means they understand the full model lifecycle and build systems that meet high operational demands.
Industry Experience
We hire AI engineers who’ve delivered systems in industries that demand security, compliance, and performance. Across our team, we’ve worked with PHI-sensitive pipelines and integrated with FHIR and HL7 systems. In finance, we’ve implemented fraud detection and pricing models with SOC 2 audit trails and explainable outputs. In retail, we’ve launched recommender systems, forecasting pipelines, and built-in A/B testing infrastructure.
By matching you with engineers who already understand your domain, we reduce ramp-up time, minimize rework, and help you move faster.
Similar AI Work
We prioritize engineers who’ve built AI systems under conditions similar to yours. This includes working across cloud and on-prem GPU setups, managing noisy data, and balancing constraints around cost, accuracy, and delivery speed.
When we hire AI developers, we also consider the technical decisions they’ve made in past roles, such as pipeline design, retraining strategy, and model versioning. When AI developers arrive with this context, onboarding is quicker, handoffs are smoother, and teams can start shipping sooner.
Critical Thinking Skills
Our vetting process includes scenario-based exercises modeled after real delivery environments. We evaluate how developers approach design tradeoffs, handle model regressions, and manage risk under shifting business needs.
The engineers we place you with contribute strategically and raise important questions during planning, not after deployment. Their thinking leads to cleaner code, fewer blockers, and more predictable delivery cycles.
Ownership Mindset
We hire AI developers who take full responsibility for model performance in production. During evaluation, we examine how they’ve handled retraining, rollback decisions, dependency conflicts, and framework upgrades.
In practice, they monitor metrics, flag issues early, and manage the full model lifecycle without adding overhead to your team. This level of ownership results in fewer incidents, smoother handoffs, and systems that continue to deliver value as requirements evolve.
Every AI developer we put on your project has passed a rigorous technical evaluation focused on real-world production challenges. We assess how they manage data drift, optimize GPU usage, structure modular pipelines, and build CI/CD workflows designed for reliability and cost control.
Fewer than 1 percent of applicants advance through our multi-stage process. The AI engineers who do have proven they can meet our delivery standards. That means they understand the full model lifecycle and build systems that meet high operational demands.
The expertise you need for the results you want.
We’ve spent over a decade refining our process to hire remote AI developers. Every developer we place has proven skills in building stable, high-performing machine learning solutions that run reliably in production.
Put top talent on your team in 2-4 weeks.
We have reps across the US.
Speak with a client engagement specialist near you.
Tell us more about your needs. We’ll discuss the best-fit solutions and team structure based on your success metrics, timeline, budget, and required skill sets.
With project specifications finalized, we select your team. We’re able to onboard developers and assemble dedicated teams in 2-4 weeks after signature.
We continually monitor our teams’ work to make sure they’re meeting your quantity and quality of work standards at all times.
Global companies have trusted our developers to build and scale AI systems for over a decade.
Excellence.
Our minimum bar for client delivery.
Over 130 awards, accolades, and achievements showcase our quality and commitment to client success.
What tech leaders ask us about hiring AI developers:
What kinds of AI projects have your developers worked on?
Our top artificial intelligence developers have delivered GenAI chatbots, LLM fine-tuning, RAG pipelines, computer vision systems, fraud detection, real-time recommenders, and predictive analytics platforms. Our past projects have spanned healthcare, finance, retail, and more. Whether you need enterprise-scale architecture or targeted model improvements, our engineers have built and deployed similar AI solutions.
Can your developers integrate AI with our existing stack?
Yes. When you choose us to hire dedicated AI developers, you get remote AI engineers who onboard fast and contribute to complex systems without slowing your team down. Our engineers have joined teams running SageMaker, Databricks, Kubeflow, on-prem GPU clusters, hybrid feature stores, and tightly regulated pipelines. They make meaningful contributions early, often committing code within the first sprint.
How fast can your AI developers start?
Companies hire AI developers from us to bypass traditional recruiting delays. Our pre-vetted AI developers typically onboard in two weeks, sometimes sooner. Because our engineers are our full-time team members, already vetted and equipped, you skip hiring delays and get straight to delivery.
How do you vet AI developers differently from general engineers?
We use the same multi-stage hiring process across roles, but for AI developers, we focus on a different set of technical skills.
Our evaluation process for AI developers is tailored specifically for production-grade AI work. We use scenario-based exercises to simulate real-world delivery conditions and evaluate how candidates handle cost-performance tradeoffs, optimize GPU usage, and apply responsible AI practices. It’s a rigorous process, and less than 1% of applicants make the cut.
What security and compliance protections do you offer?
We’re a U.S.-based company, so contracts follow U.S. legal standards. You get standard MSAs, NDAs, and IP terms that your legal team understands. Our engineers follow secure AI development protocols aligned with SOC 2, HIPAA, GDPR, and the EU AI Act. Security audits and access controls are part of every engagement.
Can your developers help us manage compute costs?
Yes. Our engineers design with FinOps in mind. That means workload modeling, GPU and storage forecasting, and selecting infrastructure options like spot instances or serverless inference. You get reliable performance without waste.
Do I need to interview candidates before placement?
Most clients hire AI developers through our direct placement model because it’s faster and more efficient. Our placements are a match on the first try 96% of the time, and 99% by the second. Whether you want to hire AI programmers through direct placement or conduct interviews, we can support you. Either way, we stay involved throughout the engagement to monitor performance and keep delivery on track. In the rare case that a developer isn’t the right fit, we’ll replace them within days at no cost.
How senior are your AI developers?
Our artificial intelligence developers typically have 8–10+ years of experience and deep expertise in AI delivery. They’ve fine-tuned transformers, built machine learning pipelines from scratch, and supported production systems with high uptime and compliance needs. They know how to deliver quality work under enterprise constraints.
Have you worked with companies like ours?
Most likely. We’ve worked with global enterprises and mid-size companies across 130+ industries. We have AI specialists in data science, machine learning, and scalable AI engineering, often within regulated sectors like finance and healthcare. Our developers have contributed to systems with strict compliance, aggressive delivery timelines, and complex infrastructure—just like yours.
How involved are you after onboarding?
Very. Our delivery managers stay engaged throughout the project. They run regular check-ins, monitor dev performance, and help resolve blockers. You won’t have to chase updates or manage engineers alone. We stay accountable from day one.
Can you scale our AI team if needs change?
Yes. We help companies hire AI developers with flexibility, whether you need a single expert or an entire squad. With 4,000+ engineers on staff and deep AI specialization, we can grow your team quickly. Whether you're building out a full team or just trying to find AI developers with niche expertise, we can scale fast without sacrificing quality.
How is BairesDev different from platforms or staffing vendors?
We’re not a freelance marketplace or resume aggregator. 500+ companies trust us because we’re a full-service AI development partner that helps companies build and scale with dedicated engineers. Our team handles recruiting, onboarding, equipment, security, and delivery oversight—so you don’t have to. The developers we provide are full-time professionals who work your hours and integrate like members of your in-house team.
See why the biggest names in tech build with our AI developers.
Let's Discuss Your AI Project
