Skip to content
/ Fractional Teams /

Hire AI Engineers

Hire dedicated AI engineers from Neural AI. Experienced artificial intelligence developers available for fractional, contract.

Book a free consultation → See how it works
/ the solution /

Hire AI Engineers built around your business.

Every solution we deliver is built on three pillars: your data, your context, and continuous improvement. Each capability is traceable and measurable.

  • Experienced AI Specialists

    Access senior AI engineers with proven track records building production AI systems across…

  • Flexible Engagement Models

    Part-time fractional support, full-time dedicated engineers, or team augmentation that emb…

  • Full-Stack AI Capability

    Our engineers handle the complete AI stack from data preparation and feature engineering t…

  • Knowledge Transfer Included

    Every engagement includes structured knowledge transfer to your internal team through docu…

/ how it works /

Live in weeks, not months.

We discuss your AI project requirements, technology stack, team composition, and engagement model preferences. This conversation ensures we match the right engineer with the right skills to your specific project context.

We select engineers from our team whose expertise matches your project requirements. We consider technical skills, industry experience, personality fit, and availability to ensure a productive working relationship.

Selected engineers onboard to your project rapidly, understanding your codebase, architecture, and team workflows. Integration with your development processes, communication tools, and project management systems happens within the first week.

Engineers deliver according to your project methodology, whether agile sprints, milestone-based delivery, or continuous development. Regular check-ins ensure alignment with project goals and stakeholder expectations.

Throughout the engagement, engineers document decisions, create technical guides, conduct code reviews with your team, and provide mentoring. Knowledge transfer is continuous, not a final-stage activity.

Scale the engagement up or down as project needs evolve. Add additional specialists for intensive phases, reduce to advisory support during maintenance periods, or transition to ongoing fractional support.

/ what you get /

Everything you need. Nothing you don't.

Experienced AI
Specialists
Flexible Engagement
Models
Full-Stack AI
Capability
Knowledge Transfer
Included
/ built for your situation /

Sounds familiar?

CTO, scale-up company
"We need a senior AI engineer to build our RAG-based knowledge assistant but we can't justify a full-time hire yet — we're looking for someone 3 days a week for 3 months"

We place a senior AI engineer with RAG and LLM integration experience directly into your team on a flexible retainer — typically 8–12 days/month with same-week availability.

How Neural AI helps

We place a senior AI engineer with RAG and LLM integration experience directly into your team on a flexible retainer — typically 8–12 days/month with same-week availability.

/ proof /

Real deployments. Real results.

Generative AI & RAG

Ligi.ai Legal Sector

Neural AI built Ligi.ai, a custom AI legal assistant for Maltese law firms that combines retrieval-augmented generation with deep knowledge of Maltese legislation. The system assists lawyers with document drafting, legal research across case law, and document review, reducing research time by over 70%.

AI engineer team delivering production legal AI platform

Read case study →
Data Engineering & ML

Tipico AML

We migrated Tipico's AML data science workflows from KNIME to Python-based big data analytics with AWS Airflow automation, achieving up to 70% faster ETL pipeline execution and improved risk-ranking accuracy.

Embedded AI engineers building compliance ML models

Read case study → Computer Vision

LiMap Site Detection

We developed a custom computer vision model for AP Valletta that detects deterioration patterns including cracks, erosion, and staining from standard site photographs. The AI automatically maps detected damage onto AutoCAD drawings, reducing manual processing time by over 80%.

Computer vision engineers delivering structural monitoring AI

Read case study →
/ questions /

Hire AI Engineers FAQ

What experience do your AI engineers have?
Our AI engineers have 5-15 years of experience building production AI systems. They have worked across NLP, computer vision, recommendation systems, generative AI, and classical ML in industries including iGaming, finance, healthcare, manufacturing, and enterprise software. Each engineer has delivered multiple production AI systems from concept through deployment.
How quickly can an engineer start on our project?
Typically within 1-2 weeks of agreement, depending on current availability and your onboarding requirements. Engineers can begin productive work within the first few days, contributing meaningfully from the start rather than requiring weeks of ramp-up time.
What is the difference between fractional and dedicated engineers?
Fractional engineers work part-time on your project, typically 2-3 days per week, providing senior AI expertise at reduced cost. Dedicated engineers work full-time on your project for extended periods. Fractional works well for strategic guidance and architectural decisions. Dedicated suits intensive development phases.
Can engineers work on-site in Malta?
Yes, our Malta-based engineers can work on-site at your offices, remotely, or in a hybrid arrangement. On-site presence is often valuable during initial project phases for team integration and design sessions, transitioning to remote for ongoing development.
How do you ensure quality of engineering output?
Code reviews, automated testing, CI/CD practices, and architectural review processes ensure high quality. Our engineers follow software engineering best practices for AI development including version control, reproducible experiments, and production-grade deployment practices.
What technologies do your engineers work with?
Our engineers work across the major AI frameworks including PyTorch, TensorFlow, Hugging Face, LangChain, and scikit-learn. They deploy on AWS, Azure, and GCP using Docker, Kubernetes, and serverless platforms. Full-stack capability means they handle both ML engineering and application development.
Can you augment our existing AI team?
Absolutely, team augmentation is one of our most common engagement models. Engineers integrate with your existing team, contributing specialised skills while collaborating with your developers. Knowledge transfer ensures your team gains capability from the augmentation engagement.
What happens when the engagement ends?
Knowledge transfer is continuous throughout the engagement, so your team is prepared when it concludes. All code, documentation, and architectural decisions are owned by your organisation. We offer ongoing advisory support and can re-engage quickly if new AI requirements emerge.
/ get started /

Ready to put AI to work in your business?

Book a free 30-minute consultation. We will map your highest-impact automation opportunities and give you a clear, no-obligation proposal.

Book a free consultation → Contact us →