AI & Agentic AI Engineering
Move from AI pilots to production. We design, build and run LLM applications, retrieval-augmented search and AI agents that plug into your systems safely.
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Hire AI & ML Engineers
Engineers who take AI from prototype to production: LLM apps, retrieval, agents, evaluation and MLOps.
Skills our AI & ML Engineers bring
- Python
- LLM APIs
- LangGraph / LlamaIndex
- Vector databases
- PyTorch
- MLOps
- Evaluation
- AWS / Azure AI
Typical projects
- Internal copilots
- Document Q&A and search
- Agentic workflow automation
- Classification & extraction
Engagement Models ⟶
Choose how you work with us
Our Work Process ⟶
Our Streamlined Work Process
Step 1: Discovery
Understand your business needs, objectives, and challenges through comprehensive consultations and analysis.
Step 2: Planning
Develop a strategic roadmap, outlining timelines, resources, and goals to ensure a structured and efficient approach.
Step 3: Development
Leverage top-tier tech talent to build and implement tailored solutions that align with your specific requirements.
Step 4: Integration
Seamlessly incorporate the developed solutions into your existing systems, ensuring minimal disruption and maximum efficiency.
Step 5: Optimization
Continuously monitor, refine, and enhance solutions to maintain peak performance and adaptability in a dynamic tech landscape.
- 1
Discovery
Understand your business needs, objectives, and challenges through comprehensive consultations and analysis.
- 2
Planning
Develop a strategic roadmap, outlining timelines, resources, and goals to ensure a structured and efficient approach.
- 3
Development
Leverage top-tier tech talent to build and implement tailored solutions that align with your specific requirements.
- 4
Integration
Seamlessly incorporate the developed solutions into your existing systems, ensuring minimal disruption and maximum efficiency.
- 5
Optimization
Continuously monitor, refine, and enhance solutions to maintain peak performance and adaptability in a dynamic tech landscape.
Frequently asked questions
What does an AI engineer do?+
An AI engineer builds AI features into real products: LLM applications, retrieval-augmented search (RAG), AI agents and machine learning models, including evaluation, monitoring and deployment.
What is the difference between an AI engineer and a data scientist?+
Data scientists focus on analysis and building models; AI engineers focus on turning models and LLMs into reliable, secure production systems. Many projects need both skill sets.
Can your AI engineers work with our data securely?+
Yes. They follow least-privilege access, keep data inside your cloud where required and add audit logging and guardrails to AI systems.
How do you vet AI & ML Engineers?+
Candidates go through customised technical questions, recorded video interviews and a structured assessment before you meet them. You interview and approve every engineer.
Can I hire one AI & ML Engineer or a whole team?+
Both. Start with a single engineer through staff augmentation, or a managed squad with a team lead through Teams as a Service.
Which time zones do your remote developers cover?+
We arrange working hours that overlap with clients in United States, Canada, United Kingdom, Australia, United Arab Emirates, Saudi Arabia.
Who owns the code our developers write?+
You do. All source code and intellectual property created for you is assigned to your company under the contract, and engineers work under NDA.
Ready to hire AI & ML Engineers?
Schedule MeetingYour journey to unparalleled tech solutions begins here. Whether you need top-tier talent, innovative project collaboration, or comprehensive tech support, GEKO Technologies is ready to partner with you. Schedule a meeting with our experts now. Let’s discuss how we can drive your success together. Don't wait—your next breakthrough is just a meeting away.
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