Prompt Engineering Services

Prompt Engineering Services – Maximize AI Value With Strategic Prompt Design

Optimize your AI capabilities with Toptal’s Prompt Engineering Services. Our teams create precision-engineered prompts that optimize model behavior, increase output reliability and relevance, and transform your AI investments into competitive advantages.

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Clients Served

35,000+

Total Vetted Professionals

30,000+

AI & Big Data Experts

2,000+

AI & Data Project Hours Delivered

250,000+

TRUSTED BY LEADING BRANDS

Our Services

Toptal Prompt Engineering Services

Accelerate AI performance with Toptal’s Prompt Engineering Services. Our support spans custom prompt development, model optimization, and strategic consulting—empowering businesses to generate accurate, relevant, and actionable outputs across a variety of generative AI models.

Prompt Strategy

Design custom prompt strategies that align with business goals and drive high-quality AI performance.

Multi-model Prompt Engineering

Develop prompts that work across a variety of generative AI models for seamless integration and maximum flexibility.

Custom Prompt Development

Build tailored prompts that enhance model performance and deliver accurate, relevant responses.

Prompt Optimization

Refine prompts to improve output precision, contextual accuracy, and alignment with desired outcomes.

Chatbot Prompt Design

Create dynamic prompt flows that enable virtual assistants to respond to users with clarity, relevance, and conversational fluidity.

API-ready Prompt Templates

Deliver reusable, scalable prompts optimized for seamless integration via APIs or other deployment interfaces.

AI Model Output Testing

Validate and refine prompts through controlled testing to maximize effectiveness.

Domain-specific Prompt Engineering

Customize prompts for specific industries to boost relevance and business value.

NLP-driven Prompt Structuring

Leverage natural language processing techniques to write prompts that are clear, well-structured, and easy for AI to interpret.

Foundation Model Alignment

Align prompts with the capabilities and constraints of today’s leading AI models to enhance performance.

Context Management and Memory Handling

Optimize prompts to help AI retain user inputs and context during sustained dialogue with users.

Prompt Debugging and Refinement

Evaluate AI responses to eliminate prompt ambiguity and improve model comprehension.

Looking for guidance about the perfect prompt engineering service for your needs?

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PARTNERSHIP THAT WORKS

How We Deliver Prompt Engineering Services

Our prompt engineers, with experience at leading companies, develop and deploy tailored solutions to meet your business needs and unique industry demands for sustainable results and long-term success.

Discover

A leader from our team works with you to understand your business challenges, pain points, and strategic goals to uncover new opportunities and identify the options to reach your objectives.

Define

Toptal leaders collaborate with your team to define your specific goals and service needs, evaluating multiple approaches and aligning requirements with your strategic objectives to define the best solution.

Develop

We will create your unique project timeline, process, and first drafts, whether you’re crafting a prompt library or optimizing model output for your target use case.

Deploy

Toptal will get to work, tracking quality assurance, handling project management, and maintaining the delivery schedule.

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Robert Orshaw

CEO, Technology Services

As Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 500 companies.As Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 500 companies.

Previously At

CUSTOMIZED SOLUTIONS

Prompt Engineering Solutions That Deliver Value

Toptal delivers leading prompt engineering 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.

End-to-End Delivery by Toptal
On-demand Talent & Teams

End-to-End Delivery by Toptal

Comprehensive project delivery, tailored to your specific requirements.

CEO, Technology Services

Delivery Manager

AI Prompt Engineer

NLP Developer

AI Product Manager

Machine Learning Engineer

Data Scientist

Generative AI Developer

Robert Orshaw

CEO, Technology Services

Previously at

Technology Experience

35+ Years

Rachael Karaffa

Delivery Manager

Rachael serves as a Delivery Manager at Toptal with a focus on leading diverse global teams in developing innovative solutions for our clients. She works across multiple disciplines, including technology, marketing, and management consulting. Rachael specializes in managing people and client relationships, process optimization, and driving teams toward optimal business outcomes.

Previously Managed Client

Experience

9+ Years

Filip Boltuzic

Verified Expert in Engineering

13+ Years

of Experience

AI Prompt Engineer

Filip is a machine learning 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

David Dai

Verified Expert in Engineering

13+ Years

of Experience

NLP Developer

David has extensive experience in building machine learning and deep learning (DL) solutions at top companies, including Apple, Google, and Facebook, unicorn startups, and academia, as he has a PhD from Carnegie Mellon U. He holds multiple patents in DL-based medical imaging tech and large-scale AI systems. David has grown an AI team to 60+ as the director and tech lead.

Previously at

Adrian Gonzalez

Verified Expert in Product Management

14+ Years

of Experience

AI Product Manager

With an engineering degree, two master's degrees that include an MBA, and the ability to speak four languages, Adrian has delivered as a PM in North America, LATAM, and Europe on multiple innovation initiatives, including software development, AI strategy, project delivery, executive coaching, etc. He has extensive experience in technical and business roles and has worked in several industries: telecom, cloud, supply chain, fintech, IT, etc.

Previously at

Simone Romano

Verified Expert in Engineering

19+ Years

of Experience

Machine Learning Engineer

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

Teresa Scholz

Verified Expert in Engineering

14+ Years

of Experience

Data Scientist

With a Ph.D. in physics, a background in mathematics, and 14 years of experience modeling real-world data, Teresa has the skills to fulfill any data science role. Teresa enjoys working on the whole pipeline from data cleaning and analytics to a final predictive model, especially using machine learning models.

Previously at

Joao Diogo de Oliveira

Verified Expert in Engineering

16+ Years

of Experience

Generative AI Developer

Joao is an AI/ML engineer with over 16 years of experience working with Fortune 100 companies such as Procter & Gamble and Hearst, as well as innovative startups in healthcare, energy, and finance. He holds a master's degree in computer engineering and has earned multiple certifications in machine learning and deep learning. Joao's diverse expertise across various industries and technologies, including ChatGPT and DeepSeek, underscores his versatility and high skill level.

Previously at

On-demand Talent & Teams

30,000+ vetted professionals, ready to deploy individually or in teams

AI Product Manager

Machine Learning Engineer

AI Prompt Engineer

NLP Developer

Data Scientist

AI Prompt Engineer

Data Scientist

Generative AI Developer

Data Developer

Verified Expert in Product Management

19+ Years

of Experience

AI Product Manager

Kristine is a product director with over a decade of experience. She garnered high ratings on the App Store and increased the NPS score by over 20% for a major car rental company. That app became the #1 car rental app of 2019. She has successfully launched or overhauled over ten products, both B2B and B2C. Her previous nine years of expertise includes project management, sourcing, operations, and research. Kristine excels at leading diverse teams through challenging builds and pivots.

Previously at

Verified Expert in Engineering

13+ Years

of Experience

Machine Learning Engineer

Matias is a machine learning engineer who's delivered creative solutions for social impact projects. His past experience includes working at IBM Research as a machine learning engineer (collaborating with IBM's Yorktown Heights research lab), co-founding a startup that develops research-backed cognitive games for the elderly (which was a provider for a Uruguayan government program), and working on several projects that use machine learning to innovate in the healthcare sector.

Previously at

Verified Expert in Engineering

21+ Years

of Experience

AI Prompt Engineer

Since 2014, Matthew has been working professionally in the fields he loves, software and data—culminating in him co-founding the Rubota corporation in 2017. Before that, he spent the past decade at Cornell University conducting scientific research specifically in statistical and biological physics. All in all, Matthew is an engaging, intense communicator with a passion for knowledge and understanding.

Previously at

Verified Expert in Engineering

23+ Years

of Experience

NLP Developer

Along with earning a PhD in computer science and engineering, Dilip has over a decade of experience in the industry. Since 2015, he's been focusing on projects related to machine learning and deep learning. Dilip has an eye for detail which helps in working closely with domain scientists and improving the accuracy and reliability of models for fine-grained image classification, object detection and segmentation, natural language processing, time-series forecasting, and generative AI.

Previously at

Verified Expert in Engineering

25+ Years

of Experience

Data Scientist

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

Verified Expert in Engineering

10+ Years

of Experience

AI Prompt Engineer

Mohab is a data scientist and machine learning developer, specializing in natural language processing (NLP) and computer vision. He has five years of professional experience, and recent projects have focused on machine learning in the areas of natural language understanding (NLU), cheminformatics, and self-driving cars. Mohab stays current with cutting-edge advancements in deep learning.

Previously at

Verified Expert in Engineering

8+ Years

of Experience

Data Scientist

Bilal is an experienced data scientist with solid knowledge of machine learning, data analysis, and visualization. He offers four years of professional experience in data science, working on projects related to building and deploying machine learning models, extracting insights from data, and managing data. Bilal is passionate about working with teams whose vision aligns with his values and specializations.

Previously at

Verified Expert in Engineering

10+ Years

of Experience

Generative 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

Verified Expert in Engineering

9+ Years

of Experience

Data Developer

Joslyn is a seasoned data practitioner with demonstrated experience across multiple industries, including technology consulting and customer service. With her academic background in applied statistics and a skillset in machine learning, data analytics, Python, and SQL, Joslyn has delivered numerous projects with positive business impacts on customers.

Previously at

Looking for guidance about the perfect prompt engineering service for your needs?

Get a Free Consultation Now

Looking for guidance about the perfect prompt engineering service for your needs?

UNRIVALED EXPERTISE

Our Talent Has Worked With Top Companies

Having previously worked with these leading global companies, our talent brings valuable insights and expertise to deliver world-class outcomes.

WHY ORGANIZATIONS CHOOSE US

Toptal in Action

Discover the cutting-edge benefits our clients enjoy from the global Toptal network.

Authentia partners with Toptal to revolutionize gem tracing with a first-of-its-kind blockchain solution.

Challenge: Bruno Scarselli, a third-generation diamond dealer, needed to create a platform that could issue cryptographic titles of authenticity, origin, and ownership for gems. He was unsure of the technical requirements, particularly around blockchain development, and faced a complex path to execution.

Solution: The team followed a rigorous project management timeline focused on rapidly delivering Scarselli’s most needed features, delivering a working MVP in just 14 weeks. The platform leverages a React/Node.js infrastructure to support an Ethereum-based blockchain protocol. The system uses a robust AWS infrastructure, including IAM, S3, CloudFront, Lambda, Aurora Serverless, KMS, SES, CloudFormation, EKS, and EC2 to ensure scalable, secure, and efficient service delivery.

Outcome: Thanks to the team’s rapid execution, Scarselli attracted his first 50 diamond-industry customers mere months after ideating on his product vision. For technology startups, this rapid speed to market is critical for both short- and long-term success.

RELATED CAPABILITIES

AWS Cloud
AWS Lambda
Blockchain
AWS IAM
Cloud Architecture
Cloud Engineering
Ethereum
React.js
Solidity

This collaboration has not only streamlined our operations, but partnering with Toptal has given life to entirely new industry standards for transparency.

Bruno Scarselli

Managing Partner at Scarselli Diamonds Founder

Toptal Ranked #1 Most Reliable Professional Services Company in America

Newsweek and Statista’s rankings were based on an independent survey of more than 2,400 decision-makers at Fortune 500s.

IBM — Newsweek's Most Reliable Companies in America 2026 ranking. Toptal is ranked #11, the highest-ranked professional services firm.

See the Most Reliable Companies in America

Methodology for the Rankings

How likely the respondent is to recommend the selected company to others.

Measures the convenience of interaction with the company and efficiency of processes.

Measures the company’s cost-effectiveness and quality relative to price.

Measures whether the company consistently meets or exceeds expectations in quality and timeliness of deliverables.

Measures the company’s ability to consistently fulfill commitments and maintain customer trust.

See the Most Reliable Companies in America

Industry Insights

Explore Insights From the Prompt Engineering Field

Read the latest articles and resources to keep you current on emerging trends in prompt design, generative model fine-tuning, AI workflow integration, and more.

Fine-tuning LLMs for Your Industry: Optimal Data Labeling Strategies

LLMs have a vast knowledge base, but training them with domain-specific data can extend their capabilities to specialized industries and tasks. This article delves into data labeling for fine-tuning and includes a step-by-step tutorial for training GPT-4o.

Jedrzej Kardach

Verified Expert in Engineering

6 Years of Experience

Jedrzej is a machine learning engineer who specializes in AI and data science. He has delivered several NLP-based classification algorithms and reinforcement learning solutions to clients, and has worked alongside researchers at Princeton University developing ML and data analytics tools. Jedrzej has partnered with clients in multiple industries, including service, finance, and insurance.

Expertise

Artificial Intelligence Machine Learning Data Science

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