AI Full-Stack Model Development Expert
Budget / Salary£250–750
TypeFreelance project
LocationRemote
Posted55 minutes ago
AI Full-Stack Developer Needed – AI Model Training and Development
We are looking for a skilled AI Full-Stack Developer to join our team and contribute to AI training, model development, evaluation, and the development of AI-powered applications.
The ideal candidate should have a strong background in full-stack software engineering, artificial intelligence, machine learning, and Large Language Models (LLMs). We are looking for someone who can work across the entire AI development lifecycle, from data preparation and model training to backend development and frontend integration.
Responsibilities:
- Develop, train, test, and evaluate AI and machine learning models.
- Work with Large Language Models (LLMs) and generative AI technologies.
- Prepare, clean, process, and manage datasets for AI training.
- Develop AI training pipelines and automated data processing workflows.
- Implement fine-tuning techniques for existing AI models.
- Develop and integrate AI agents and intelligent automation systems.
- Work with RAG architectures, vector databases, embeddings, and semantic search.
- Build backend services and APIs for AI-powered applications.
- Develop frontend interfaces for AI tools and training platforms.
- Evaluate model accuracy, performance, reliability, and output quality.
- Identify and resolve model performance issues.
- Integrate AI models with existing software systems and third-party services.
- Research and experiment with new AI technologies, frameworks, and methodologies.
- Document development processes, experiments, and technical findings.
Required Skills:
- Strong experience in Python programming.
- Experience with AI development and machine learning.
- Knowledge of deep learning and neural network architectures.
- Practical experience with LLMs and generative AI.
- Experience with PyTorch, TensorFlow, or similar frameworks.
- Familiarity with OpenAI APIs, Hugging Face, and transformer models.
- Knowledge of model fine-tuning, prompt engineering, and model evaluation.
- Experience with data preprocessing and dataset management.
- Understanding of RAG, vector databases, and embedding technologies.
- Full-stack development experience with React.js, Next.js, Node.js, or similar frameworks.
- Experience developing REST APIs and backend services.
- Knowledge of SQL and NoSQL databases.
- Familiarity with Git, Docker, cloud infrastructure, and deployment workflows.
Preferred Qualifications:
- Previous experience working on AI model training projects.
- Experience with supervised learning, unsupervised learning, and reinforcement learning.
- Knowledge of LLM fine-tuning methods such as LoRA and QLoRA.
- Experience with synthetic data generation and dataset preparation.
- Familiarity with AI model benchmarking and evaluation frameworks.
- Experience building AI training dashboards and internal development tools.
- Understanding of GPU computing and distributed model training.
- Ability to research technical challenges and independently develop solutions.
When applying, please provide:
1. A brief introduction about yourself.
2. Your experience in AI development and full-stack engineering.
3. Your experience with AI model training, fine-tuning, and evaluation.
4. The AI frameworks, programming languages, and technologies you regularly use.
5. Examples of relevant AI projects you have completed.
6. Links to your GitHub, portfolio, or technical demonstrations.
7. Your estimated hourly rate or project budget.
8. Your availability and preferred working arrangement.
Project Details:
The selected developer will work on AI-related development activities, including model training, dataset preparation, AI system development, model evaluation, and full-stack implementation.
The specific tasks may vary depending on project requirements and technical priorities. We are interested in developers who can contribute to both AI research and practical software engineering.
We are looking for someone with strong technical problem-solving skills, the ability to learn new technologies quickly, attention to detail, and a genuine interest in advancing AI systems.
Long-term collaboration opportunities may be available based on performance and project requirements.
Please apply with relevant experience and examples of your previous AI development or model training work.
We are looking for a skilled AI Full-Stack Developer to join our team and contribute to AI training, model development, evaluation, and the development of AI-powered applications.
The ideal candidate should have a strong background in full-stack software engineering, artificial intelligence, machine learning, and Large Language Models (LLMs). We are looking for someone who can work across the entire AI development lifecycle, from data preparation and model training to backend development and frontend integration.
Responsibilities:
- Develop, train, test, and evaluate AI and machine learning models.
- Work with Large Language Models (LLMs) and generative AI technologies.
- Prepare, clean, process, and manage datasets for AI training.
- Develop AI training pipelines and automated data processing workflows.
- Implement fine-tuning techniques for existing AI models.
- Develop and integrate AI agents and intelligent automation systems.
- Work with RAG architectures, vector databases, embeddings, and semantic search.
- Build backend services and APIs for AI-powered applications.
- Develop frontend interfaces for AI tools and training platforms.
- Evaluate model accuracy, performance, reliability, and output quality.
- Identify and resolve model performance issues.
- Integrate AI models with existing software systems and third-party services.
- Research and experiment with new AI technologies, frameworks, and methodologies.
- Document development processes, experiments, and technical findings.
Required Skills:
- Strong experience in Python programming.
- Experience with AI development and machine learning.
- Knowledge of deep learning and neural network architectures.
- Practical experience with LLMs and generative AI.
- Experience with PyTorch, TensorFlow, or similar frameworks.
- Familiarity with OpenAI APIs, Hugging Face, and transformer models.
- Knowledge of model fine-tuning, prompt engineering, and model evaluation.
- Experience with data preprocessing and dataset management.
- Understanding of RAG, vector databases, and embedding technologies.
- Full-stack development experience with React.js, Next.js, Node.js, or similar frameworks.
- Experience developing REST APIs and backend services.
- Knowledge of SQL and NoSQL databases.
- Familiarity with Git, Docker, cloud infrastructure, and deployment workflows.
Preferred Qualifications:
- Previous experience working on AI model training projects.
- Experience with supervised learning, unsupervised learning, and reinforcement learning.
- Knowledge of LLM fine-tuning methods such as LoRA and QLoRA.
- Experience with synthetic data generation and dataset preparation.
- Familiarity with AI model benchmarking and evaluation frameworks.
- Experience building AI training dashboards and internal development tools.
- Understanding of GPU computing and distributed model training.
- Ability to research technical challenges and independently develop solutions.
When applying, please provide:
1. A brief introduction about yourself.
2. Your experience in AI development and full-stack engineering.
3. Your experience with AI model training, fine-tuning, and evaluation.
4. The AI frameworks, programming languages, and technologies you regularly use.
5. Examples of relevant AI projects you have completed.
6. Links to your GitHub, portfolio, or technical demonstrations.
7. Your estimated hourly rate or project budget.
8. Your availability and preferred working arrangement.
Project Details:
The selected developer will work on AI-related development activities, including model training, dataset preparation, AI system development, model evaluation, and full-stack implementation.
The specific tasks may vary depending on project requirements and technical priorities. We are interested in developers who can contribute to both AI research and practical software engineering.
We are looking for someone with strong technical problem-solving skills, the ability to learn new technologies quickly, attention to detail, and a genuine interest in advancing AI systems.
Long-term collaboration opportunities may be available based on performance and project requirements.
Please apply with relevant experience and examples of your previous AI development or model training work.
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