Generative AI Services

Empower Business Efficiency With Toptal’s Generative AI Services

Transform your operations with Toptal’s Generative AI Services. Our industry expertise in generative AI solutions empowers automation, content creation, and smarter decision-making for operational efficiencies.

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Clients Served

25,000+

Vetted Professionals

20,000+

AI & Big Data Experts

1,500+

AI & Data Hours Delivered

250,000+

TRUSTED BY LEADING BRANDS

Our Services

Toptal Generative AI Services

From AI consulting to product development, Toptal’s Generative AI services equip you with the talent and expertise you need to harness AI for enhanced productivity and cost efficiency.

Generative AI Consulting

Boost productivity and reduce costs with expert generative AI consulting guidance.

Natural Language Processing Services

Unlock deeper insights with natural language processing services for text analysis.

Generative AI Product Development

Leverage generative AI product development to create cutting-edge products.

Generative AI Proof of Concept to Product

Transform AI concepts into market-ready solutions with unparalleled innovation.

OpenAI/GPT Consulting

Streamline business integration with tailored ChatGPT consulting strategies.

Generative AI Architecture Design

Build reliable and robust AI frameworks to maximize scalability while limiting costs.

Prompt Engineering Consulting Services

Learn to optimize prompts for optimal output from large language models.

Foundation Model Selection

Optimize your AI initiatives by selecting the perfect base model for high-quality output.

Vector Database Design

Design advanced vector databases for efficient generative AI data retrieval.

Document Processing Services

Leverage AI technology to automate document handling and processing.

Conversational AI Consulting

Design natural and effective AI dialogues with our conversational AI consulting.

Data Annotation Services

Annotate data sets using generative AI for enhanced accuracy.

Looking for guidance about the perfect generative AI solution for your needs?

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PARTNERSHIP THAT WORKS

How We Deliver Generative AI Solutions

Our generative AI team, with experience at leading companies, will work with you to develop and deploy tailored solutions that meet your business needs and unique industry demands for sustainable results and long-term success.

Discover

Define

Develop

Deploy

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Chas Stikeleather

Artificial Intelligence Practice Lead

Chas leads Toptal’s Global Artificial Intelligence Services, delivering AI solutions for complex challenges by leveraging top-tier talent. He has a strong background in management consulting, with a track record of empowering Fortune 500s, private equity firms, and SMEs to maximize their data. Before Toptal, Chas was integral to Bain’s Data Science group, developing data and AI strategies for numerous Fortune 100 companies.Chas leads Toptal’s Global Artificial Intelligence Services, delivering AI solutions for complex challenges by leveraging top-tier talent. He has a strong background in management consulting, with a track record of empowering Fortune 500s, private equity firms, and SMEs to maximize their data. Before Toptal, Chas was integral to Bain’s Data Science group, developing data and AI strategies for numerous Fortune 100 companies.

Previously At

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Generative AI Solutions That Deliver Value

Toptal delivers leading generative AI services through its diverse talent network and flexible delivery models. We implement the right skills at each project phase, blending expertise from various roles for seamless execution.

Managed Delivery by Toptal
On-demand Talent and Teams

Managed Delivery by Toptal

End-to-end project delivery per your specific requirements.

Practice Lead

Delivery Manager

AI Product Manager

Cloud Architect

AI Developer

Data Engineer

Front-end Developer

Chas Stikeleather

Practice Lead

Previously at

Technology Experience

10+ years

Dave Mayer

Delivery Manager

Dave is a Toptal Delivery Manager with a focus on AI and data engineering projects. He’s led support and development teams to multimillion dollar successes, and has transitioned professional service teams to Agile methodology. His expertise in AI and data engineering ensures project deliveries are both innovative and exceptional.

Previously Managed Client

Technology Experience

15+ Years

Adrian Gonzalez

Verified Expert in Product Management

10+ Years

of Experience

AI Product Manager

Adrian is a leading generative AI expert and two-time O’Reilly book author who led Microsoft’s Cloud, Data & AI Strategy for Public Sector and Healthcare. Adrian’s career spans technical and business roles across diverse sectors, including telecom, fintech, consulting, and IT. Internationally, he has delivered multiple innovative initiatives across North America, LATAM, and Europe. As a key member of the LF AI & Data Trusted AI Committee and a Responsible AI Lead at OdiseIA, Adrian champions ethical practices in AI advancements. He is also the author of the Linux Foundation’s AI Fundamentals class.

Previously at

Michael Walker

Verified Expert in Engineering

7+ Years

of Experience

Cloud Architect

Michael is a builder who has owned the entire front-end services at AWS. He loves working with go-to-market teams and UX teams collaborating on creative products. Michael is passionate about solving problems for clients and providing robust solutions to delight customers. He specializes in full-stack applications as well as ML and IoT development.

Previously at

Lorenzo Azar

Verified Expert in Engineering

9+ years

of Experience

AI Developer

Lorenzo is a senior software engineer experienced in building robust and scalable applications. He has worked at BMW Innovation Labs, CynaxLabs, DP World, Interjoin, and Deloitte, where he took responsibility for finding solutions to emerging challenges and implementing them seamlessly. With a background in mechanical engineering, Lorenzo is a critical thinker and a skillful software and AI developer eager to embrace new experiences.

Previously at

Denis Volk

Verified Expert in Engineering

20+ years

of Experience

AI Developer

Denis is a senior full-stack AI engineer and data scientist, highly skilled in modern generative tech (GPT-4, Midjourney, and more), machine learning, ETL pipelines, data analysis, mathematical modeling, big data, and MLOps. He has a PhD in mathematics, and his data science expertise includes probabilistic risk modeling, revenue forecasting, geospatial data analysis, handwriting recognition, anomaly detection in time series, data engineering, and team leading.

Previously at

Karanpreet Kaur

Verified Expert in Engineering

5+ years

of Experience

Data Engineer

Karanpreet is an experienced data engineer with a solid background in working with multiple leading international enterprise clients across the retail and investment banking domains. Combining her strong technical and soft skills with a rigorous knowledge of extract, transform, and load (ETL) design and data analytics, Karanpreet is also passionate and curious about the latest tech trends and always open to learning new things.

Previously at

Noelia Lopez

Verified Expert in Engineering

9+ years

of Experience

Front-end Developer

Noelia is a passionate software engineer with 8+ years of experience. What sets her apart is her ability to ramp up with new technologies and quickly utilize her problem-solving skills. She thrives on new challenges and enjoys pushing herself to learn and grow. She is enthusiastic about mentoring junior developers and helping them unlock their full potential. She loves proposing new ideas, wearing many hats, and collaborating closely with colleagues in different areas to achieve success.

Previously at

On-demand Talent & Teams

20,000+ vetted professionals, ready to deploy individually or in teams

AI Project Manager

AI Product Manager

AI Developer

Machine Learning Engineer

Data Engineer

Verified Expert in Project Management

15+ years

of Experience

AI Project Manager

With extensive expertise in engineering and project management, particularly within Agile methodologies, Mihaela excels in driving digital projects from discovery to production. Her leadership promotes team collaboration and exceeds client expectations. Known for fostering innovation and improving processes, she thrives on challenges. Her mastery of generative AI, enriched by courses such as “Prompting for AI Operations” and “ChatGPT Advanced Data Analysis,” places her at the industry forefront.

Previously at

Verified Expert in Product Management

10+ years

of Experience

AI Product Manager

Charles is an industry leader in healthcare NLP with more than a decade of experience as a data science technical manager. As a player-coach, Charles has led multimillion-dollar projects at healthtech Fortune 500s, such as UnitedHealth Group, Philips, and AstraZeneca. Charles also has a PhD in computational linguistics. With more than a dozen publications and patents in his field, Charles is an authority in machine learning for named entity extraction and classification.

Previously at

Verified Expert in Product Management

15+ years

of Experience

AI Product Manager

Christine is a distinguished product leader specializing in AI, cloud computing, and advanced modeling. She led a major financial company’s postmerger enterprise-wide transformation and a $1.5 billion cloud deal. As a product director, Christine oversaw the creation of a large-scale SaaS investment management platform for high-net-worth clients. At top financial institutions such as Goldman Sachs and JP Morgan, she designs client-facing solutions focusing on data and process automation.

Previously at

Verified Expert in Engineering

15+ years

of Experience

AI Developer

Simone is a machine learning scientist and engineer with experience in academia and enterprises, including Microsoft and Huawei. He likes to work at the intersection of deep machine learning, NLP, and information retrieval. Simone also loves to work on exploration analysis and building theoretically sound machine learning pipelines ready for production. He especially enjoys building web products.

Previously at

Verified Expert in Engineering

14+ years

of Experience

AI Developer

Joao is an AI/ML engineer with more than 14 years of experience at Fortune 100 companies like P&G and Hearst and startups in the healthcare, energy, and finance industries. Joao holds a master’s degree in computer engineering from the University of Porto and has multiple certifications in ML and deep learning.

Previously at

Verified Expert in Engineering

12+ years

of Experience

AI Developer

Filip is an AI engineer with several years of professional experience. He’s worked on large-scale problems at Amazon Web Services as a software developer and built natural language processing models as a research associate at the University of Zagreb. Filip’s main interests are machine learning and natural language processing, with an emphasis on building text classification models.

Previously at

Verified Expert in Engineering

15+ years

of Experience

Machine Learning Engineer

Abhimanyu is a machine learning expert with 15 years of experience creating predictive solutions for business and scientific applications. He’s a cross-functional technology leader, experienced in building teams and working with C-level executives. Abhimanyu has a proven technical background in computer science and software engineering with expertise in high-performance computing, big data, algorithms, databases, and distributed systems.

Previously at

Verified Expert in Engineering

25+ years

of Experience

Data Engineer

Anthony is an analytical and resourceful leader with more than 25 years of experience in data engineering, database development, and process design and development. He has deep experience in the financial services industry and a keen ability to understand business and data requirements and customize value‐added applications. He’s known for his expert skills in operations and risk management. Anthony is poised and intellectually curious, with executive-level written and verbal communication skills.

Previously at

Verified Expert in Engineering

5+ years

of Experience

Data Engineer

Daniel is a data engineer and architect specializing in Azure’s cloud services. He’s keen on collaborating with data analysts and data scientists to provide them with accurate data for dashboards and experiments, leveraging his clear communication skills and problem-solving mindset. As a certified Azure data engineer and a Databricks data engineering professional, Daniel’s tech stack includes Databricks, Azure Data Factory, Azure Synapse, Azure Analysis Services, and Microsoft Power BI.

Previously at

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Reach your full generative AI services potential

UNRIVALED EXPERTISE

Our Talent Worked With Top Companies

Members of our top-tier talent network, with experience at the world’s leading companies, bring valuable insights and expertise to ensure world-class outcomes.

AI SOLUTIONS DELIVERED TO 1,700+ CLIENTS

Toptal in Action

Toptal has a long-standing track record in AI, including a landmark project with USC—a leading institution in AI thought leadership.

USC innovates a first-of-its-kind scalable AI assistant.

Challenge: Toptal and USC partner to tackle mental health challenges with AI.
Impact: By working with Toptal, USC was able to accelerate delivery and expand the reach of the Ask Ari mental health program. Students using the program report feeling empowered to better handle their anxiety and stress.

I worked with Toptal for a number of years in three different companies, and have always had phenomenal results. Bringing them to the university was just a natural extension of my experience with them. You have somebody who really becomes part of the team.

Kelly Christoffersen

Senior Software Engineer, USC Institute for Creative Technologies

OUR THOUGHT LEADERSHIP

Explore Insights From the Generative AI Field

Read our latest articles and resources to keep you current on emerging trends in artifical intelligence, machine learning, prompt engineering, and more.

NLP With Google Cloud Natural Language API

Natural language processing (NLP) has become one of the most researched subjects in the field of AI. This interest is driven by applications that have been brought to market in recent years. In this article, Toptal Deep Learning Developer Maximilian Hopf introduces you to Google Natural Language API and Google AutoML Natural Language.

Maximilian Hopf

Verified Expert in Engineering

Max is a data science and machine learning expert. He has helped to build one of Germany’s most highly funded fintechs.

Expertise

Machine Learning

Previously at

Create Data From Random Noise With Generative Adversarial Networks

Cody Nash

Verified Expert in Engineering

As a data scientist, Cody has used tools including Python and R to explore and deploy analyses on genetic, healthcare and other data sets.

Beyond Text: Designing the Future of AI Prompting

Micah Bowers

Verified Expert in Design

Micah is a digital designer who has worked with clients such as Google, Deloitte, and Autodesk. He is also the Lead Editor of Toptal’s Design Blog. His design expertise has been featured in *Fast Company*, TNW, and other notable publications.

5 Pillars of Responsible Generative AI: A Code of Ethics for the Future

Madelyn Douglas

Madelyn is the Lead Editor of Engineering at Toptal and a former software engineer at Meta. She has more than six years of experience researching, writing, and editing for engineering publications, specializing in emerging technologies and AI. She previously served as an editor at USC’s Viterbi School of Engineering and her research on engineering ethics was published at IEEE’s NER 2021 conference.

Generative AI Related Offerings

Explore Related Services and Roles

Achieve end-to-end success by completing your operational stack with services that ensure every aspect of your business is optimized.

MLOps Services Data Science Consulting AI Development Services NLP Consulting AI Designers AI Engineers Deep Learning ML Design Artificial Intelligence Product Management Neural Network NLP Developers Machine Learning Computer Vision OpenAI GPT-4 API

Empower your business efficiency with generative AI services

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