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The cost of hiring AI developers depends on the seniority level, specialization, and engagement model you choose. Here are typical ranges:

• Mid-level AI developer: $35–$55/hour for engineers with 3-5 years of AI/ML experience, proficient in model development, data engineering, and production deployment.
• Senior AI developer: $55–$85/hour for engineers with 5-8+ years of experience, capable of leading AI projects, designing architectures, and mentoring teams.
• AI team (3-5 developers): $15,000–$35,000/month for a dedicated squad including ML engineers, data scientists, and an MLOps specialist.

Compared to US in-house hiring ($150K–$250K+ annual salary per AI engineer plus benefits, equipment, and management overhead), you save 60-70% while getting equivalent or better talent. We offer monthly, quarterly, and annual engagement options with no long-term lock-in.

These are fundamentally different engagement models:

• Hiring AI developers (staff augmentation): You get dedicated engineers who work as part of your team. They follow your processes, attend your standups, use your tools, and report to your tech lead. You control the work — we provide the talent.
• Outsourcing a project: You hand off a defined scope of work to an external team. They manage the project, make technical decisions, and deliver the final product. You have less day-to-day control but also less management overhead.

Staff augmentation is ideal when you have technical leadership in-house and need to scale your team quickly with specific skills. Project outsourcing works better when you want a turnkey solution delivered end-to-end. DreamzTech offers both models — and we can advise which fits your situation best.

Our standard onboarding timeline is 48–72 hours from the time you confirm the engagement. Here is how it works:

• Day 1: You share your requirements — skills needed, project context, team structure, and tools used. We shortlist 2-3 pre-vetted candidates from our talent pool.
• Day 1-2: You interview the candidates (technical and cultural fit). We handle scheduling and provide candidate profiles with portfolio samples.
• Day 2-3: Selected developers are onboarded — access to your repos, tools, and communication channels. They join your next sprint.

For larger teams (5+ developers), the process typically takes 5-7 business days to ensure the right team composition and skill mix. We maintain a bench of 50+ pre-vetted AI specialists ready for immediate deployment.

Our AI developer pool covers the full spectrum of AI/ML specializations:

• Large Language Models: GPT-4, Claude, LLaMA, Gemini, Mistral — fine-tuning, RAG, prompt engineering, and production deployment.
• Machine Learning: TensorFlow, PyTorch, scikit-learn, XGBoost — supervised/unsupervised learning, recommendation systems, time series, and anomaly detection.
• Natural Language Processing: Text classification, sentiment analysis, NER, document understanding, conversational AI, and multilingual systems.
• Computer Vision: OpenCV, YOLO, vision transformers — image recognition, object detection, OCR, medical imaging, and video analytics.
• Generative AI: Content generation, image synthesis, code assistants, multimodal AI, and AI agent development with LangChain and LlamaIndex.
• MLOps & Infrastructure: MLflow, Kubeflow, AWS SageMaker, Azure ML, Vertex AI — model serving, monitoring, CI/CD for ML, and GPU optimization.
• Data Science: Statistical modeling, A/B testing, predictive analytics, data visualization, and business intelligence.

Every developer is assessed on both technical depth and real-world production experience before joining our talent pool.

Yes — flexible scaling is one of the core advantages of hiring AI developers through DreamzTech. Unlike in-house hiring where scaling means months of recruitment or painful layoffs, our model lets you adjust team size based on project needs:

• Scale up: Add developers within 48-72 hours from our pre-vetted talent pool. Need 3 more ML engineers for a sprint? We can staff them by next week.
• Scale down: Reduce team size with 2-week notice. No severance, no HR complications. Developers return to our pool and can rejoin your project later if needed.
• Rotate skills: Swap specializations mid-project. Started with ML engineers but now need NLP specialists? We make the transition seamless with knowledge transfer.

Most clients start with 2-3 developers and scale to 8-12 as the project matures. Our delivery managers help you plan team composition at each phase so you are never over- or under-staffed.

Quality and transparent communication are built into our engagement model:

• Vetting process: Every developer passes a 4-stage screening — resume review, technical assessment, live coding challenge, and project simulation. Only the top 5% make it into our talent pool.
• Dedicated delivery manager: A DreamzTech delivery lead oversees every engagement, ensuring code quality, sprint velocity, and alignment with your goals.
• Your tools, your process: Developers work in your Jira/Linear, commit to your GitHub/GitLab, and join your Slack/Teams channels. No separate tooling or workflow friction.
• Timezone alignment: Developers are matched to your timezone for 6-8 hours of overlap minimum. US East, West, and Central timezone coverage available.
• Code quality standards: All code follows your style guides, passes your CI/CD checks, and goes through your standard review process. Our developers treat your codebase as their own.
• Performance reviews: Monthly performance check-ins with transparent metrics on velocity, code quality, and team feedback. Underperformers are replaced proactively.

We offer three flexible engagement models to match your needs:

• Dedicated full-time developers: Engineers work exclusively on your project, 40 hours/week. Best for long-term projects (3+ months) where deep context and continuity matter. Monthly billing with 2-week notice for changes.
• Part-time developers: Engineers work 20 hours/week on your project. Ideal for maintenance, advisory roles, or supplementing a specific skill gap without a full-time commitment. Monthly billing with flexible hours.
• Project-based teams: A complete AI squad (developers + lead + QA) assembled for a defined project scope. Fixed timeline and milestones with dedicated delivery management. Best for building a specific AI product or feature end-to-end.

All models include a DreamzTech delivery manager, access to our AI accelerator platforms, and a 2-week trial period so you can evaluate the developer before committing. No recruitment fees, no long-term contracts required.