Hire Generative AI Engineers & Developers

Frequently Asked Questions

• What Does a Generative AI Engineer Do?
  A generative AI engineer designs, develops, integrates, and optimizes AI applications powered by technologies such as LLMs, RAG systems, and AI agents. They turn specific business requirements into functional, scalable, and production-ready GenAI solutions.
• What Is the Difference Between a Generative AI Engineer and an AI Engineer?
  A generative AI engineer typically focuses on technologies that generate or understand content, such as LLMs, RAG, AI agents, and multimodal models. An AI engineer may work across a broader range of AI and machine learning applications, including predictive models, computer vision, and traditional machine learning systems.
• What Skills Should a Generative AI Engineer Have?
  A skilled generative AI engineer should understand LLMs, prompt engineering, RAG architectures, embeddings, vector databases, AI agents, model integration, and production deployment. Strong programming, API integration, cloud testing, and problem-solving skills are also important.
• How Quickly Can I Hire a Generative AI Engineer From Quantal AI?
  Quantal AI can match you with the right generative AI engineer based on your project requirements, with engineers available to start within 24 hours. Your engagement can then be structured around your preferred hiring model and project needs.
• What Is the Difference Between Hiring a Generative AI Engineer and a Machine Learning Engineer?
  Generative AI engineers specialize in building applications around technologies such as LLMs, RAG, generative models, and AI agents. Machine learning engineers generally focus more broadly on developing, training, deploying, and maintaining machine learning models for predictive and analytical applications.
• Can a Generative AI Engineer Fine-Tune a Model on My Proprietary Business Data?
  Yes, depending on the model and use case, generative AI engineers can customize or fine-tune foundation models using relevant business data. They can also use approaches such as RAG to connect AI applications with proprietary information without necessarily modifying the underlying model.
• How Much Does It Cost to Hire a Generative AI Engineer?
  The cost depends on factors such as the engineer's experience, engagement model, project complexity, technical requirements, and duration. Quantal AI offers dedicated, hourly, part-time, team augmentation, and project-based options to accommodate different requirements.
• Should I Hire a Dedicated Generative AI Engineer or Work with a GenAI Development Company?
  A dedicated engineer can be ideal when you need ongoing, focused support within your existing team. A GenAI development company can be a better fit when you need broader expertise, end-to-end project delivery, or multiple specialized capabilities.
• What Generative AI Frameworks and Tools Should an Engineer Know?
  Depending on the project, relevant expertise can include OpenAI, Anthropic, Gemini, Llama, LangChain, LangGraph, Hugging Face, PyTorch, vector databases, cloud platforms, APIs, and AI agent frameworks. The right technology stack ultimately depends on the application's requirements and business objectives.
• How Do I Know If a Generative AI Engineer Has Real Production Experience?
  Look for hands-on experience beyond prototypes, including deployed LLM applications, RAG systems, AI agents, integrations, monitoring, optimization, and ongoing maintenance. Reviewing previous projects, technical expertise, and the ability to explain real implementation decisions can also help validate production experience.