Managed Engineering
Hire a ready AI engineering team to build AI into your products.
Skip the long, costly search for AI talent. Get a ready team of AI engineers, LLM specialists, data engineers, developers and testers who take your AI ideas from first test to a reliable product.
- ISO 9001 certified
- NDA on request
- You own the code
- AI/ML engineerModels and evaluation
- LLM & GenAI engineerLLM features and agents
- MLOps engineerDeployment and monitoring
- Data engineerPipelines and data quality
- Backend engineerAPIs and integration with your product
- QA & evaluationTest sets and release safety
Trusted by 100+ clients in 25 countries
In short
What is an AI engineering team?
An AI engineering team is a ready group of AI engineers, LLM specialists, data engineers, developers and testers who build AI features and agents into your products. It lets you move from AI ideas to production quickly, without the time and cost of hiring scarce AI talent yourself.
- Capability
- Managed Engineering
- Best for
- SaaS and technology, FinTech, Healthcare
- Ways to work
- Fixed scope, dedicated team or time and materials
- Typical tools
- Python, PyTorch, TensorFlow, OpenAI
What we offer
Our AI engineering teams services.
Take the complete service, or just the parts you need. Every engagement is shaped around your goals, your users and your budget.
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Full team
AI product teams
A complete team to build a new AI product or add AI features to an existing one.
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LLM
LLM and generative AI engineers
Specialists in prompts, retrieval, model selection and AI features for your users.
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Agents
AI agent developers
Engineers who build agents that take actions in your systems, with guardrails.
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Data
Data engineering
Pipelines and data preparation so AI has clean, reliable information to work with.
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ML
Machine learning engineers
Models for prediction, classification, recommendations and forecasting.
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MLOps
MLOps and AI operations
Deployment, monitoring, cost control and continuous improvement of AI in production.
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Quality
AI testing and safety
Evaluation sets, accuracy checks and safety reviews before every release.
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Enable
AI enablement for your team
Training and pairing so your own developers learn to build with AI.
Why clients trust us
Real products, real businesses, since 2018.
From startups launching their first app to ministries and global brands, businesses in 25 countries rely on Appsums to build, run and grow their software.
- 15+
- years in IT
- 8+
- years as Appsums
- 100+
- clients
- 25
- countries
Why Appsums
Why choose Appsums for AI engineering teams?
An engineering partner you can hold to account, with the experience, processes and people to deliver.
Skills that are hard to hire
AI, data and software expertise in one ready team.
From pilot to production
Focused on features users rely on, not experiments that stall.
Responsible AI
Testing, human review and monitoring built in.
Flexible size
Start with a small team and scale as results come in.
Model-independent
OpenAI, Anthropic, Google and open-source models, chosen per task.
Your IP stays yours
Models, prompts, data and code are owned by you.
How we work
How we deliver AI engineering teams.
Six clear stages from first call to a product that keeps improving. You always know what is happening, what comes next and what it costs.
- Weekly demosSee real progress, not status reports
- One accountable leadA single person who owns delivery
- Written milestonesScope and budget agreed up front
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Stage 1 of 6
Understand your needs
- Skills, seniority and team size
- Working hours and tools
- Budget and start date
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Stage 2 of 6
Shortlist
- Matching profiles from our team
- Skills and experience summaries
- Usually within days
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Stage 3 of 6
Interview and select
- Your own technical interviews
- Trial tasks if you wish
- You choose who joins
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Stage 4 of 6
Onboard
- Contracts, NDA and IP terms
- Access to your tools and code
- Introductions to your team
-
Stage 5 of 6
Deliver and review
- Work inside your sprints
- Regular quality check-ins
- Clear monthly reporting
-
Stage 6 of 6
Scale and support
- Add or reduce people any time
- Quick replacements if needed
- Knowledge kept in your team
Hire experts
Hire AI engineering teams experts.
Add the right people to your project, full-time or part-time, working your hours and inside your tools.
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AI engineers
Engineers who design and build AI features and agents.
- Agents
- LLM integration
- Python
- APIs
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Data engineers
Engineers who prepare and manage the data AI needs.
- Pipelines
- Data quality
- Vector search
- Warehousing
-
ML engineers
Engineers who build and tune machine learning models.
- PyTorch
- TensorFlow
- Model training
- Evaluation
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MLOps engineers
Engineers who deploy and monitor AI in production.
- Deployment
- Monitoring
- Scaling
- Cost control
Client voice
What our clients say.
In their own words, from the founders and leaders we build for. All reviews
- 5.0 Clutch · 10 reviews Checked 28 October 2026
- 4.9 GoodFirms · 12 reviews Checked 28 October 2026
- 5.0 The Manifest · 9 reviews Checked 27 October 2026
Long-term partnerships
Work such as Thara Profintech's investment platform in Kuwait continues as an ongoing engineering partnership, release after release.
Clients across regions
Delivery for clients in the GCC, Africa, Asia, Europe and North America.
References on request
During evaluation we arrange conversations with clients in similar sectors.
Industries
AI engineering teams across industries.
We know the rules, users and systems of the industries we work in, so you spend less time explaining and more time launching.
AI engineering teams for
SaaS and technology
AI features such as search, assistants and automation inside your product.
Explore SaaS and technologyAI engineering teams for
FinTech
Fraud signals, document checks and customer service AI.
Explore FinTechAI engineering teams for
Healthcare
Summaries, triage support and staff assistants with strict privacy controls.
Explore HealthcareAI engineering teams for
Retail and eCommerce
Recommendations, product content and shopping assistants.
Explore Retail and eCommerceAI engineering teams for
Logistics
Demand forecasting, route insights and exception handling.
Explore LogisticsAI engineering teams for
Enterprise
Internal AI assistants and process automation across departments.
Explore EnterpriseTechnologies
The technology we build with.
Popular, proven tools that are easy to grow and easy to hire for, so your product is never locked in to us.
Most used for AI engineering teams:
Web and mobile
- React
- Next.js
- Angular
- Vue.js
- TypeScript
- JavaScript
- Tailwind CSS
- Flutter
- Dart
- Swift
- Kotlin
- Jetpack Compose
- Android
- iOS
- Ionic
- Figma
Backend and data
- Node.js
- Express
- NestJS
- Python
- Django
- FastAPI
- PHP
- Laravel
- .NET
- Spring
- GraphQL
- Socket.IO
- MongoDB
- PostgreSQL
- MySQL
- MariaDB
- Redis
- Elasticsearch
- Firebase
- Supabase
- Prisma
Cloud and DevOps
- AWS
- Google Cloud
- DigitalOcean
- Docker
- Kubernetes
- Terraform
- GitHub Actions
- Jenkins
- Nginx
- Grafana
- RabbitMQ
- Kafka
- Jest
- Cypress
- Selenium
- Postman
- Jira
AI and integrations
- OpenAI
- Anthropic
- Gemini
- Llama (Meta)
- LangChain
- Hugging Face
- PyTorch
- TensorFlow
- Ollama
- NumPy
- Pandas
- scikit-learn
- Stripe
- PayPal
- Twilio
- WhatsApp Business
- Google Maps
- Shopify
- WordPress
Security and trust
Security, privacy and IP built into how we work.
Security by design
- Secure architecture and code reviews
- Encryption in transit and at rest
- Vulnerability checks before release
- Dependencies kept up to date
Data protection
- Least-privilege, role-based access
- Separate test and live environments
- Hosting in the region you choose
- Credentials handed back at the end
Contracts and IP
- NDA signed before detailed talks
- You own all code, designs and data
- Clear scope and statements of work
- Confidentiality for every team member
Quality and governance
- ISO 9001 certified quality management
- Documented, audited processes
- Progress and risk reports every sprint
- Release checklists and sign-off
ISO 9001 certified. Quality you can rely on.
Our quality management system is independently certified, so every project follows documented, audited processes from kick-off to support.
Want a head start?
Start from a ready-made solution.
Launch sooner by building on one of our proven solutions, branded as yours and shaped to your market. All solutions
- AI Agent Solutions Task-specific AI agents with tool access, human approvals and monitoring. See the solution
- AI Chatbot Development Chatbots grounded in your content, with human handover and analytics. See the solution
- Generative AI Apps Generative AI features and apps with brand rules, safety and cost controls. See the solution
Explore more
Explore our full range of services.
Most clients start with one service and add others as they grow. The same team keeps the context.
FAQs
Frequently asked questions.
Anything else about AI engineering teams? Ask us directly. A real engineer reads every message.
Do we need our own data scientists?
No. The team brings the AI skills; your people bring the business knowledge.
Which AI tools and models do you use?
Proven models and frameworks from OpenAI, Anthropic, Google, Hugging Face and open-source projects, chosen per project.
How do you make sure AI is safe and accurate?
Evaluation sets, human review where needed, and monitoring after launch.
Can the team work alongside our developers?
Yes. They can work inside your team and help upskill your developers.
How quickly can an AI team start?
Typically within two to four weeks, depending on the roles needed.
Who owns the models, prompts and code?
You do, under contract.





























