The right people.
The right process.
Building an AI team isn't just about hiring engineers. It's about creating a system, talent, workflows, tools, and culture, that delivers results consistently.
Four-Phase Approach
Strategy & Assessment
Define your AI roadmap, identify skill gaps, and determine the right team size and composition based on your business objectives and technical requirements.
- AI capability assessment
- Team structure blueprint
- Technology stack recommendation
- Budget & timeline planning
Talent Acquisition
Source, screen, and hire top AI engineers. Technical interview design, practical assessments, and cultural fit evaluation tailored to your organization.
- Job description templates
- Technical screening process
- Interview frameworks
- Candidate evaluation rubrics
Training & Onboarding
Accelerate your team's productivity with structured onboarding, hands-on workshops, and curated learning paths for AI/ML, LLMs, and production deployment.
- Onboarding curriculum
- LLM & RAG workshops
- Code review standards
- Knowledge base setup
Workflow & Operations
Establish development workflows, CI/CD pipelines, model versioning, experiment tracking, and operational playbooks for sustainable AI development.
- Development workflow guides
- CI/CD pipeline templates
- MLOps best practices
- Incident response playbook
Key Roles I Help You Hire
The specific composition depends on your goals, but these are the most common roles in a modern AI team.
AI/ML Engineer
Model development, fine-tuning, and deployment. Core technical role for building AI capabilities.
Prompt Engineer
LLM optimization, prompt design, evaluation frameworks, and AI agent orchestration.
Data Engineer
Data pipelines, ETL processes, vector databases, and data quality management.
Full-Stack AI Developer
End-to-end application development integrating AI models with production-grade web applications.
AI Product Manager
Product strategy, roadmap planning, and cross-functional coordination for AI initiatives.
DevOps / MLOps Engineer
Infrastructure, model serving, monitoring, and scalable deployment pipelines.
Hiring and building an AI team
What a team build costs, how recruitment runs from Dubai, and which roles to hire first.
Pooya Golchian builds AI teams in four phases, starting with a capability assessment and a team structure blueprint, then moving through talent acquisition, training, and workflow design. Hiring one engineer leaves you with a single point of failure. A team needs interview rubrics, an onboarding curriculum, and MLOps playbooks before the first offer goes out.
AI team builds start at $18,000 per hire. That fee covers end-to-end recruitment for a senior AI engineer, including the technical screening process, interview frameworks, and candidate evaluation rubrics. Pooya Golchian waives the fee if no placement lands within 60 days, so the cost of a slow search sits with him rather than your budget.
An AI team engagement starts with a discovery call and a hiring brief, which feed the capability assessment and the team structure blueprint. Placement carries a 60-day guarantee. Pooya Golchian runs the surrounding embedded work at two to three days per week across four to twelve weeks, covering onboarding, code review standards, and CI/CD setup.
Pooya Golchian recruits AI engineers from Dubai, where he has shipped production software since 2009, including senior engineering work on regulated fintech platforms. He screens every candidate himself, so a working engineer reads the code rather than a recruiter matching keywords.
A first AI team usually spans six roles, covering an AI/ML engineer, prompt engineer, data engineer, full-stack AI developer, AI product manager, and MLOps engineer. Most companies do not need all six on day one. Pooya Golchian sizes the team against your roadmap during the strategy phase, then sequences the hires so each one has work waiting.
Engagement
Ready to build your AI team?
Starting from zero or scaling an existing team. Book a discovery call or send a hiring brief.
AI team builds start at $18k per hire.
End-to-end recruitment for senior AI engineers. Fee waived if no placement within 60 days.