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 NLP, computer vision, recommendation systems, generative AI, and classical machine learning. Our engineers bring 5-15 years of experience delivering AI solutions in iGaming, finance, healthcare, and enterprise settings.

  • Flexible Engagement Models

    Part-time fractional support, full-time dedicated engineers, or team augmentation that embeds within your existing development team. Scale engagement up or down based on project needs, from a few days per week for strategic guidance to full-time commitment for intensive development phases.

  • Full-Stack AI Capability

    Our engineers handle the complete AI stack from data preparation and feature engineering through model training, API development, deployment, and production monitoring. No need to hire separate specialists for each layer when one experienced engineer covers the entire AI delivery lifecycle.

  • Knowledge Transfer Included

    Every engagement includes structured knowledge transfer to your internal team through documentation, code reviews, architectural decision records, and mentoring sessions. Your organisation builds lasting internal AI capability alongside project delivery, reducing long-term dependency on external expertise.

/ overview /

Finding and hiring qualified AI engineers is one of the biggest challenges facing Malta businesses pursuing AI initiatives. The global demand for AI talent far exceeds supply, and the competition for experienced engineers makes traditional recruitment slow, expensive, and uncertain. Neural AI solves this problem by providing immediate access to experienced AI engineers through flexible engagement models that match your project needs and budget.

The AI Talent Challenge in Malta

Malta’s growing technology sector creates strong demand for AI expertise, particularly in iGaming, financial services, and enterprise AI development. Yet the supply of experienced AI engineers who can build production systems remains limited. Recruiting takes months, salaries are escalating, and retention is uncertain. Our fractional and dedicated engineer services provide an alternative that delivers expertise immediately without the recruitment risk.

Our AI engineers are not junior developers learning on your project. They are experienced professionals who have designed and delivered production AI systems across multiple industries and technology stacks. Whether you need someone to architect an AI platform, build and train custom models, or integrate AI capabilities into existing applications, our engineers deliver immediate value.

Engagement Models for Every Need

We offer engagement models to suit every situation. Fractional engineers provide part-time AI expertise for organisations that need senior guidance without full-time commitment, ideal for AI strategy development, architectural decisions, and team mentoring. Dedicated engineers embed within your team for extended development projects. Team augmentation provides multiple specialists for large-scale AI initiatives.

For Malta businesses building internal AI teams, our engineers serve as the experienced practitioners who accelerate your team’s capability development. They establish best practices, create reusable frameworks, and mentor your developers through pair programming and code review, ensuring your team gains permanent capability from the temporary engagement.

Full-Stack AI Engineering Capability

AI projects require expertise across the full technology stack, not just model development. Our engineers handle data engineering for training data preparation, feature engineering and model development, API and application development for model serving, deployment to cloud platforms on AWS or Azure, and production monitoring for model performance tracking.

This full-stack capability means you hire one experienced engineer rather than assembling separate specialists for data, ML, backend, and DevOps. The Ligi.ai project demonstrates our engineers delivering a complete production legal AI platform, handling everything from document processing through NLP model development to application deployment.

/ how it works /

Live in weeks, not months.

01

Requirements Discussion

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.

02

Engineer Matching

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.

03

Onboarding & Integration

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.

04

Delivery & Collaboration

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.

05

Knowledge Transfer

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.

06

Flexible Scaling

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.

01

Experienced AI Specialists

Access senior AI engineers with proven track records building production AI systems across NLP, computer vision, recommendation systems, generative AI, and classical machine learning. Our engineers bring 5-15 years of experience delivering AI solutions in iGaming, finance, healthcare, and enterprise settings.

02

Flexible Engagement Models

Part-time fractional support, full-time dedicated engineers, or team augmentation that embeds within your existing development team. Scale engagement up or down based on project needs, from a few days per week for strategic guidance to full-time commitment for intensive development phases.

03

Full-Stack AI Capability

Our engineers handle the complete AI stack from data preparation and feature engineering through model training, API development, deployment, and production monitoring. No need to hire separate specialists for each layer when one experienced engineer covers the entire AI delivery lifecycle.

04

Knowledge Transfer Included

Every engagement includes structured knowledge transfer to your internal team through documentation, code reviews, architectural decision records, and mentoring sessions. Your organisation builds lasting internal AI capability alongside project delivery, reducing long-term dependency on external expertise.

See what hire ai engineers could do for your business.

Book a free 30-minute consultation with our Malta-based AI team — no obligation, just a clear view of your highest-impact opportunities.

Book a free consultation →
/ 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"

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.

Founder, SaaS startup
"I need an AI technical lead who can review our architecture, mentor my junior devs, and help us make the right LLM choices — but only about 2 days a week"

How Neural AI helps

Our fractional AI leads provide technical oversight, architecture reviews, and team mentoring on a day-rate or monthly retainer — without the overhead of a full-time principal hire.

Head of Product, fintech company
"We have a 6-month roadmap of AI features and no internal AI expertise — we need someone who can be embedded in our squad and deliver alongside our existing devs"

How Neural AI helps

We embed a Neural AI engineer into your existing team, working in your sprint cycles, using your tools and repos, and shipping production AI features alongside your developers.

Engineering Manager, enterprise software company
"We're on a long AI project and our internal team keeps getting pulled onto other priorities — can we bring in someone to maintain momentum and hold us accountable?"

How Neural AI helps

A dedicated Neural AI engineer on monthly retainer keeps your AI project moving regardless of internal distractions — acting as a consistent technical anchor with delivery ownership.

/ 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 →
/ neurostack /

Powered by NeuroStack.

The Neural AI products that power this service — available independently or as part of a custom build.

NeuroAgentic

Autonomous AI Agent Development Platform

Learn more →

NeuroRAG

Retrieval-Augmented Generation (RAG) Platform

Learn more →

NeuroCV

AI Computer Vision & Object Detection Platform

Learn more →

NeuroIntelligence

LLM Intelligence & AI Reasoning Engine

Learn more →
/ 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 →