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Designing and Developing Custom Generative AI based software solutions
Integrating AI models and APIs
Integrating ML NLP-based solutions
Integrating Generative AI models: DALL-E, OpenAI Gym and more
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Eliminate the Hassle of Job Posting and Work With our Top 3% of Freelance Generative AI Developers
Manish D.
India
Generative AI, DALL.E, Neural Networking, SQL, Git. NLP, ChatGPT, Machine Learning, Data Engineering, SQL, Tensor Flow.
8 Years of experience
Available Full Time
Manish is one of our senior Generative AI developers. He has extensive experience of 8 years in the field of AI/ML and NLP development. He has experience in training various AI models and creating robust solutions. He is passionate about advanced AI-based technology and its impact on our lives. Being a Generative AI developer, he has a deep understanding of prominent technologies such as AI/ML, NLP, supervised/unsupervised learning, ChatGPT, DALL.E, Neural Networking, Python, Tensor Flow, R. Read more
Darren K.
USA
Generative AI, ChatGPT, GPT-3,4, Python, Machine Learning, Artificial Intelligence (AI), Computer Vision, Deep Learning.
9 Years of experience
Available Full Time
Darren is one of our finest Generative AI developers. He has 9 years of experience in Data Analytics , Natural Language Processing (NLP), MATLAB, and Machine Learning. He has an excellent record of creating and training intuitive, scalable, and user friendly applications and chatbots. He is an avid learner and loves solving complex problems. He is well-versed in technologies like MATLAB, NLP based Training algorithms, MySQL, and Python. Read more
Thomas T.
Finland
Generative AI, ChatGPT, NLP, NLU, Deep Learning, OpenAI codex, DALLE-2, Embeddings, Davinci, Babbage, OpenAI gym, Python, Keras, Pytorch, Ruby on Rails.
10 Years of experience
Available Full Time
Thomas is one of our senior Generative AI developers and team leader. He has extensive experience of 10 years in OpenAI, Machine Learning, and Deep Learning along with computer vision and NLP/NLU algorithms. With his expertise, he has trained many AI models and has a great reputation as a freelance Generative AI developer. He has a deep knowledge in the AI model and designing. Thomas’ areas of expertise are also prominent in Ruby on Rails, Python, R, Natural Language Processing, OpenAI codex, OpenAI gym, and DALLE-2. Read more
Ashwath D.
Indonasia
Generative AI, ChatGPT, Wit.AI, DALLE, OpenAI models, Whisper, Embeddings, Midjourney, Machine Learning, Deep Learning, Keras, Kubernates.
7 Years of experience
Available Full Time
Ashwath is a dedicated Generative AI developer with specialization in Deep Learning. He is a team leader with effective communication and management skills along with a knack of picking the best solutions to any problem. He also has expertise in ChatGPT and DALLE based AI solutions, Machine Learning, and model creation and development. He enjoys building the best products. Apart from AI, he also has expertise in NLP training, automation, integrating AI models and APIs such as ChatGPT, DALL.E, Embeddings and more. Read more
Olive L.
Nigeria
Generative AI, ChatGPT, Data Analysis, Data Visualization, Data Engineering,DesignData Engineering, Chatbots, Pandas.
7 Years of experience
Available Full Time
Olive is a freelance Generative AI developer with 7 years of experience. She is an expert in AI automation, deep research, Machine Learning, Natural Language Processing, and Data Analysis. She has elevated her potential as a Generative AI developer through freelancing and as a skilled OpenAI model trainer. She can assist with deep research and collecting high-quality data, model training, to build well-designed chatbots. Additionally, She can train frameworks and models with ChatGPT based best practices for the development team. Read more
Andrea G.
Philippines
Generative AI, ChatGPT, DALLE, OpenAI model building, Machine Learning, Deep Learning, Artificial Intelligence (AI), Davinci, Matrix, Python.
8 Years of experience
Available Full Time
Andrea is an expert Generative AI developer with 6 years of experience in AI development, AI modeling, architecture and designing, NLP training, and chatbot model development. Her experience includes building ChatGPT, DALL.E, and Midjourney based models. Her experience with startups will help you in building your Generative AI model in a rapid and cost-effective manner. Read more
Casey R.
Netherlands
Generative AI, ChatGPT, DALLE, Artificial Intelligence (AI),Stable Diffusion, Ada, Whisper, Python, MATLAB, Linux, Machine Learning.
7 Years of experience
Available Full Time
Casey Is a dedicated Generative AI developer with 7 years of experience in Data Science Machine Learning and AI based modeling. He is an expert in AI development and has an excellent track record of model building, training models and integrating ChatGPT with business software. He can assist with designing and training high-performing finely-tuned AI based software and models. He has in-depth working knowledge of ChatGPT, DALLE, Stable Diffusion, Ada, Whisper, OpenAI Codex, Gym, Web3, Git and Other programming languages. Read more
Tyler F.
Croatia
Generative AI, ChatGPT, Data Science, Computer Vision, MATLAB, Nvidia Caffe, DevOps, API development, Database design, PHP, Node, Python.
6 Years of experience
Available Full Time
With 6 years of experience, Tyler is one of our best Generative AI developers. He is a team leader and project manager with expertise in AI solutions, deep learning, computer vision, cloud architecture, Python, Data Analysis, MATLAB, SQL, GraphQL, and Nvidia Caffe. He is very articulate and observant with the projects and technologies he works on. Read more
View Our Available
Generative AI Developers
For Hire
We are helping our partners’ businesses expand and innovate more quickly.
Why Choose Generative AI Development?
Increased Productivity and Efficiency
Boost Innovation
Enhanced Customization
Improved Decision-Making
Increased Inclusivity
Accelerate Your Market Growth by Hiring Our Generative AI Developers
Generative AI Consulting
Generative AI Model Development
Custom Solutions
Generative AI Model Integration
NLP-based Custom Software Development
Build System Architecture
Fine-tuning Models
Upgrade and Maintenance
Why do Companies Turn to Optymize to Hire
Generative AI Experts?
Speed
2 days
Time Saved
50+

Success Rate
97%
Our Generative AI Developers are Well-Equipped
with Knowledge and Experience
The first step of the Generative AI development process begins with analyzing the problem. Here our experts will join you in a meeting and will understand your problem, market needs, tech requirements, and other essential details and provide you with the required Generative AI based solutions. This is an essential and most important step where we identify project needs, team and tech requirements, target audience, and other particular challenges. Our developers will address every strength and problem in the project and will make a proper plan so that the final AI model performs incredibly well with the intended purpose.
Now as we have defined the problem, it is time to collect data to train the Generative AI model. Here we collect, refine, and analyze large chunks of unrefined raw data from relevant sources such as websites, social media platforms, online directories, and other online platforms. The quality and quantity of these collected data will directly impact our AI model’s accuracy.
After collecting the data and refining the required ones, we will design the Generative AI model. In this step, our AI developers choose the right parameters, define training algorithms and methodology, and design the architecture and optimization algorithms needed. Our Generative AI developers will develop a well-equipped model to accurately generate relevant results for the specified problems.
The next step is to train the model we have designed with the gathered refined data. At this step, our expert Generative AI developers will feed the model with the data and check for the desired reaction. If the result is unsatisfactory, the model parameters will be recalibrated as per the result obtained and the process will be repeated until we start getting the desired outcomes. The training process requires a lot of time and patience with many iterations done and resources being used. However, the process is gravely important as it will make sure that the resulting AI model is effective, finely tuned, and accurate.
In this step, our Generative AI experts will evaluate the trained AI model in a real-time environment. We will use separate data, based on current trends and evaluate how efficiently the model is generating and predicting the responses. This process will help us identify any area with inaccuracies, weaknesses, and the improvements needed. Our Generative AI developers will test and improve the model till it is finely-tuned and provide high quality performance.
After the Generative AI model is tested and validated, it then gets approved to be deployed to the end users. It is the final step where the AI model is ready to get launched to the target customers and is sent for production. The deployment process should be handled with proper planning and marketing so it reaches the desired audience and provides them the intended assistance. Our developers ensure that the model stays up-to-date and meets the desired needs of the audience with utmost precision.
Hire Generative AIDevelopers in Three Simple Steps
A Call With Our Expert
Schedule a quick call with our Director of Engineering, who will understand your business goals and technical needs in detail.
Schedule an Interview
Get matched with an experience-driven, pre-vetted remote ChatGPT developer within 48 hours of the call.
Review and Onboard
After you review and select the best-matched candidate, start building your project with a 2-week risk-free trial. Don’t pay the fees if you are not satisfied.
We’re dedicated to serving you with our best Generative AI developers for hire
And we’re pleased to help you at every stage.
Our Generative AI Developers bring the Latest Generative AI based Software Solutions
GPT-3.5
GPT-3.5 is an upgraded and cost-effective model built upon GPT-3’s capabilities. It has a powerful GPT 3.5-Turbo which is a set of advanced Generative AI models. These models can generate text responses and are suitable for various tasks.
Moderation
Moderation models are OpenAI’s creation. They are machine learning algorithms designed to support moderation of various tasks and content. It can also be used to identify and remove any harmful or inappropriate content from websites and online platforms.
GPT-4
GPT-4 is a multimodal model that possesses advanced reasoning abilities and a broad set of knowledge. It can solve complex problems with utmost accuracy, can accept text and image inputs, and generate textual responses.
Stable Diffusion
Stable Diffusion is an AI model created by OpenAI and uses deep learning to generate detailed images from textual prompts. The created images are hyper-realistic. Stable Diffusion is used for a variety of tasks like image-to-image translations, inpainting, and outpainting.
DALL.E
DALL.E is a text-to-image OpenAI model that can create realistic images and artworks through natural language text prompts. DALL.E can generate images of any specific size, edit and modify pre-existing images, and produce variations of an image as per users.
Midjourney
Midjourney is a Generative AI based text-to-image tool. It is an image generator that creates distinct artistic images through given textual prompts. The images can be anything from artistic characters to digital worlds and a lot more.
Whisper
Whisper is a speech recognition model from OpenAI. Whisper is versatile and can perform language identification, multilingual speech recognition, and speech and text translations.
Bard
Bard is a Google-based text-to-text Generative AI bot. It is powered by LaMDA and is designed for conversations in natural language and to generate human-like responses from text prompts.
Embeddings
Embeddings is another of OpenAI’s creations that is used to capture the semantic meaning and relationship between words and phrases. Embeddings are numerical representations and algorithms that measure how much different text strings relate to each other. It can search and classify the linguistic units and can find anomalies in them.
LLaMA
Created by Meta, Large Language Model Meta AI(LLaMA) is the largest foundational large-language model that is comprehensively trained with an extensive amount of text data. LLaMA is designed to generate text, solve mathematical theorems, have conversations, summarize and modify written material, and much more.
Technologies we excel in Generative AI
Front End
BackEnd
Frameworks
Machine Learning Platforms
Data Visualization and Reporting Tools
Algorithms
Open AI Models
AI Frameworks
AI Development Tools
Cloud Platform Tools
Blockchain
Data Warehousing and Management
Integration & Deployment Tools
DeveOps Tools
Industries We Serve
Pharmaceutical
Banking and Finance
Automotive and Transportation
Healthcare
Insurance
Custom CRM
Food and Beverages
Supply Chain
Success Stories
Don’t just believe what we say!
Aston T.
Optymize understood our requirements immediately. We were matched with an exceptional Generative AI developers who understood our goals and delivered us by integrating crucial backend operations.
Sofia W.
The biggest benefit of Optymize is that it cuts down on the time needed to find talented developers. Within a week, they delivered a Generative AI specialist who examined our platform and created a successful model for focusing on particular clients. .
Andrew M.
Choosing Optymize to scale our expanding business was a wise move. Thanks to their expertise, we were able to hire skilled Generative AI developers to produce best-in-class analytical websites.
Brad B.
Optymize's Generative AI developers are knowledgeable. They performed a five-star service for us while integrating some crucial backend operations.
Ricky G.
Optymize was the company we found after a two-month search for Generative AI specialists, and the professionals did a fantastic job integrating the front-end and back-end operations and optimizing our website. Optymize was a solution we discovered to be reasonably priced.
Jessica M.
Optymize delivered a group of three Generative AI developers within a week. The team completed the majority of the pipeline tasks earlier than expected and developed effective Website features to give users greater accessibility.
Freelance Generative AI Developers are in high demand these days.
Get started in no time with 100% risk-free hiring.
How to Hire Generative AI Developers With Optymize?
Artificial Intelligence has become an integral part of about every piece of technology and industry today. It has actively become a part of our lives. AI helps in assisting during driving and parking, automatically paying bills, and running household items as well. One such technological advancement is Generative AI.
Generative AI models can take inputs such as text, image, audio, video, and code and generate new content into any of the modalities mentioned. For example, it can turn text inputs into an image, turn an image into a song, or turn video into text.
With the kind of features it provides, Industries and businesses are shifting toward development companies and digital marketplaces to hire Generative AI developers to integrate AI into their systems.
Generative AI enables users to quickly generate new content based on a variety of inputs. Inputs and outputs to these models can include text, images, sounds, animation, 3D models, or other types of data. Generative AI models use neural networks to identify the patterns and structures within existing data to generate new and original content.
One of the breakthroughs with generative AI models is the ability to leverage different learning approaches, including unsupervised or semi-supervised learning for training. This has given organizations the ability to more easily and quickly leverage a large amount of unlabeled data to create foundation models. As the name suggests, foundation models can be used as a base for AI systems that can perform multiple tasks.
Examples of foundation models include GPT-3 and Stable Diffusion, which allow users to leverage the power of language. For example, popular applications like ChatGPT, which draws from GPT-3, allow users to generate an essay based on a short text request. On the other hand, Stable Diffusion allows users to generate photorealistic images given a text input.
Generative AI is a powerful tool for streamlining the workflow of creatives, engineers, researchers, scientists, and more. The use cases and possibilities span all industries and individuals.
The impact of generative models is wide-reaching, and its applications are only growing. Listed are just a few examples of how generative AI is helping to advance and transform the fields of transportation, natural sciences, and entertainment.
- Language: Text is at the root of many generative AI models and is considered to be the most advanced domain. One of the most popular examples of language-based generative models are called large language models (LLMs). Large language models are being leveraged for a wide variety of tasks, including essay generation, code development, translation, and even understanding genetic sequences.
- Audio: Music, audio, and speech are also emerging fields within generative AI. Examples include models being able to develop songs and snippets of audio clips with text inputs, recognize objects in videos and create accompanying noises for different video footage, and even create custom music.
- Visual: One of the most popular applications of generative AI is within the realm of images. Generative AI models can create graphs that show new chemical compounds and molecules that aid in drug discovery, create realistic images for virtual or augmented reality, produce 3D models for video games, design logos, enhance or edit existing images, and more.
- Synthetic data: Synthetic data is extremely useful to train AI models when data doesn’t exist, is restricted, or is simply unable to address corner cases with the highest accuracy. It spans all modalities and use cases and is possible through a process called label efficient learning.
- Automotive industry: Generative AI is expected to help create 3D worlds and models for simulations and car development. Synthetic data is also being used to train autonomous vehicles. Being able to road test the abilities of an autonomous vehicle in a realistic 3D world improves safety, efficiency, and flexibility while decreasing risk and overhead.
- Natural Science: The field of natural sciences greatly benefits from generative AI. In the healthcare industry, generative models can aid in medical research by developing new protein sequences to aid in drug discovery. Practitioners can also benefit from the automation of tasks such as scribing, medical coding, medical imaging, and genomic analysis.
Entertainment: All aspects of the entertainment industry, from video games to film, animation, world building, and virtual reality, are able to leverage generative AI models to help streamline their content creation process. Creators are using generative models as a tool to help supplement their creativity and work.
Below are some key points that we at Optymize apply in our process of filtering through over 10,000 developers. You can use these in your process to hire Generative AI developers.
- Your needs and work culture: You need to clearly specify the requirements of the project, your work culture, your tech-stack so that the Generative AI developers can have a clear idea of what is required of them.
- Years of experience and expertise: Now be specific about the role, technology and tools needed and the number of years of experience you need. You can also opt for Generative AI developers with expertise in other technologies such as Machine Learning, IoT, data science, and more.
- Experience in AI: For sure a developer with expertise in multiple domains is always a priority, however experience matters. It is essential to hire Generative AI developers with years of expertise in AI development, training and integration.
- Projects in the past: You can shortlist and prioritize developers on the basis of their past works. Whether it is integrating AI into existing systems, or building chatbots, look for developers who have worked on similar projects as yours.
- Remote Work Experience: Developers with past freelance work experience can be a priority as they have first hand experience of working remotely, they can seamlessly communicate, and manage tasks at hand.
Soft Skills: Communication skills are essential when hiring a Generative AI developer. As they are working remotely, they have to be efficient in communicating the progress, sharing feedback, and collaborating with other team members and clients.
After selecting and hiring Generative AI developers for your project, it’s now time to welcome them onboard. Some important points:
- Tell them about your project details
- Interview them to know about their technical and soft skills and whether they are ideal for your project and company.
- Tell them about company culture and tech stack
- Give them needed tools and system access.
- Meet with the core team.
- Introducing the Project Management Toolkit.
- Discuss communication strategy.
Optymize is an emerging worldwide talent marketplace where you can rest assured about hiring freelance Generative AI developers as Optymize does all the heavy lifting. With the help of our verified and experienced developers, we can assure you that your project requirement will be fulfilled within the deadline.
We will work with you throughout the process and will assist you whenever you need us, our support team works 24*7 so you can feel free to ask us anything anytime.
To ensure you get the best talent, we have chosen the top 3% of worldwide Generative AI developers through a rigorous vetting process. Our team of expert developers can develop a matchless, scalable and user friendly application to fulfill all your project requirements.
We value your time and urgency. Hence, we developed a simple three-step hiring process—which can get you dedicated Generative AI developers in just 2 days—we’re committed to providing the best service possible.
Step1-A quick call to help us better understand your needs.
Step2– We’ll provide you with a list of top Startup developers within 48 hours
Step3– Review Generative AI developers’ profiles, schedule interviews with them, and then bring on board those you feel most comfortable with for a risk-free trial.
Optymize has a stellar track record of working with fortune 500 companies, tech giants and startups. With us, many companies have built astounding products. Hire today.
FAQs to Hire Generative AI Developers
Why is Optymize the Best Choice for Hiring Generative AI Developers?
Optymize is a trusted marketplace by hundreds of startups and Fortune 500 companies. We have successfully matched hundreds of skilled developers as both freelancers and full-time jobs with clients all over the world. All our freelance Generative AI Engineers go through a rigorous vetting process where we identify and test their skills. We test their technical skills(both for breadth across the greater domain and depth in their specific technology), communication skills, and remote work readiness.
What is The Process of Hiring Generative AI Developers from Optymize?
Optymize follows a simple 3-step process. First, we will understand all your project requirements in detail on the call. Then, we will run our database with the best-equipped Generative AI developers for the project and within the next 48 hours will provide you with their list as per your specific needs. You can assess and interview the candidates as per your criteria and choose the ones you prefer. Lastly, we can sign a contract and you can onboard the Generative AI developers with a 2-week free trial period. You work directly with the Generative AI developers, and Optymize will provide any other assistance needed 24*7.
How Fast Can I Hire and Onboard Generative AI Developers?
Optymize values your time and efforts. Therefore, we have a simple hiring process where our Director of Engineering discusses all your project needs over a call and offers a list of top Generative AI developers within 48 hours. Afterward, it is up to you, how quickly you can assess, interview, and onboard the developer. Our dedicated Generative AI developers begin working within three to five days once matched. Since Generative AI developers are in high demand, we would suggest you hire them as early as possible.
What AI Models Do Your Generative AI Developers Use?
Our skilled Generative AI developers have expertise in the latest language models, including GPT 3.5 Turbo, GPT-4, Babbage, Ada, Davinci, and Curie, as well as the latest image models such as CLIP, Midjourney, and DALL-E. Audio models like Whisper and Jukebox as well.
What if I’m not Satisfied with the Generative AI Developer?
We have a risk-free trial policy of two weeks during which you can thoroughly analyze the developer’s work. If satisfied, we can move forward and continue our engagement and if there are issues, we will assist you with another quality Generative AI developer who may satisfy your needs with a second trial.
What Sets Optymize's Generative AI Developers Apart?
Optymize is committed to providing highly skilled elites. We put Generative AI developers through a rigorous vetting process that includes customized coding and problem-solving tests that are aligned with the current market needs and technological standards. Our developers are vetted by veterans of Google and Amazon. Furthermore, we also assess their communication skills and team work abilities, which results in vetted Generative AI developers ready to meet all your business needs.
How to Evaluate Generative AI Models?
The three essential requirements of a fine-tuned Generative AI model are:
- Quality: A high-Especially for applications that interact directly with users, having high-quality generation outputs is key. For example, in speech generation, poor speech quality is difficult to understand. Similarly, in image generation, the desired outputs should be visually indistinguishable from natural images.
- Diversity: A good generative model captures the minority modes in its data distribution without sacrificing generation quality. This helps reduce undesired biases in the learned models.
Speed: Many interactive applications require fast generation, such as real-time image editing to allow use in content creation workflows.
How Long Does it Take to Develop AI-Powered Software?
The timeline to develop AI-based software solutions using Generative AI depends on several factors. The factors are project complexity, project scope, availability of resources, technical requirements, third-party integration, model training regimen, and location of developers. So providing a direct answer to the project timeline is hard as these essential factors affect the timeline of development. Connect with us to get an estimated time for your Generative AI based AI software development.
Hire Generative AI Developers And Scale Your Development Team Within 48 Hours
And we’re pleased to help you at every stage.
Tell Us About Your Project
David Anderson
Accelerating transformation of Fortune 500 brands and leading companies