Hire AI Developers
Accelerate AI adoption and enhance productivity with dedicated AI engineers
Get a free estimateSolutions to Your Hiring Challenges
1
Data Quality and Quantity
Our engineers provide quality training data and relevant datasets and design data pipelines for continuous collection and preprocessing.
2
Model Complexity and Interpretability
We build sophisticated deep learning models tailored to your use case complexity and optimize model performance, explainability, and transparency.
3
Computational Resources
Our AI experts design and optimize hardware and cloud infrastructure to enable fast iterations of experimentation and efficient model training and deployment. We also implement MLOps for streamlined monitoring and governance.
Our AI Engineer Hiring Process
Requirements Analysis
CV Screening
Code Screening
Paid Model Building (Optional)
Client Interviews
Onboarding
Requirements Analysis
1 / 6
We thoroughly analyze the client's AI goals, data assets, infrastructure needs, and ethical considerations to define the required developer skills, experience levels, and capabilities.
CV Screening
2 / 6
We share resumes of pre-screened candidates with clients to jointly shortlist experts that align with priorities based on AI backgrounds.
Code Screening
3 / 6
Shortlisted talents complete AI coding assessments and modeling tasks to demonstrate expertise in solving real-world machine learning challenges typical of the role.
Paid Model Building (Optional)
4 / 6
For advanced roles, candidates develop pilot AI models on your data to confirm fit with performance metrics, computational constraints, and responsible AI standards.
Client Interviews
5 / 6
Clients interview screened candidates to evaluate communication abilities, comprehension of business objectives, cultural fit, and vision for AI solutions.
Onboarding
6 / 6
Once selected, AI engineers undergo joint onboarding covering tools, role clarity, team integration, frameworks, and project alignment.
What do our customers say about us?
LegalTech 8 months
“Early-launched LegalTech platform acquiring first clients in 3 months”
Enterprise 2 years
“A cross-platform design tool for SharePoint, Microsoft Teams, and SAP”
EdTech 3 years
“After launching, the client raised funding with the support of H&S Investments”
Insurtech 6 months
“A user-friendly home warranty software focused on transparency and customer choice”
B2B Enterprise 1 year
“From manual consulting workflows to a scalable, automated marketplace”
HR 2 years
“Scalable MVP that helped founders raise Series A funding”
PetTech 1 year
“Scheduling-first pet care marketplace with real-time tracking and chat”
GIS 4 months
“Our efficient project management delivered a 20% faster turnaround”
Healthcare 4 months
“Unified web and mobile system for therapist workflows and patient data”
Our featured projects
- E-commerce
- eLearning app
- HR Solution
- Recruitment
- Decentriq
- eLearning web app
Find out how the cutting-edge innovation in gift-giving that utilizes complex, architect-level solutions works behind the scenes.
- Ukraine
- 8 people
- 8 months
- Mobile and web applications
Learn more about how the eLearning app implemented an innovative business model for an old problem.
- India
- 6 people
- 4 months
- Mobile applications
Discover how a startup in HR shapes employee management in enterprise-level companies using complex tech solutions.
- Germany
- 5 people
- 2 years
- Web application
Discover how SpdLoad created Gigl, a platform to find talent for London bars, restaurants, and hotels.
- UK
- 8 people
- 1 year
- Mobile application
We did design and develop a recognizable corporate website. Take a look on what we’ve done.
See how we expanded customer’s existing team with a front-end developer at an EduTech startup.
- Ukraine
- 1 people
- 1 year
- SaaA
Got a Project in Mind? Tell Us More
Drop us a line and we'll get back to you immediately to schedule a call and discuss your needs personally.
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Frequently Asked Questions
How do you ensure responsible and ethical AI development?
We prioritize ethical AI and employ safeguards like differential privacy, adversarial debiasing, interpretability methods, and external audits to ensure transparency and fairness.
Do your AI experts have experience in my industry vertical?
Our AI teams have developed tailored solutions for multiple B2B verticals, including HR, finance, healthcare, retail, and advertising industries.
How do you handle AI model monitoring and maintenance?
We establish MLOps pipelines for continuous model performance monitoring, detecting data drift, ensuring reproducibility, automatic retraining, and simplifying model updates.