LLM Development Services

LLM Development Services – Develop and Scale Enterprise AI Systems

Build scalable AI applications with Toptal’s LLM Development Services. Our AI developers and architects build custom LLM solutions that integrate with business systems and support reliable long-term performance.

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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 LLM Development Services

Build and deploy large language model applications that support real operational needs. Toptal’s AI engineers and LLM specialists combine model development and infrastructure optimization to deliver scalable AI systems.

LLM Strategy and Roadmap Development

Define AI priorities, implementation plans, and governance considerations to align LLM investments with operational business goals.

Custom LLM Development

Develop tailored language models designed around specific workflows, business requirements, and domain-specific use cases.

LLM Fine-tuning Services

Fine-tune pre-trained models using proprietary or domain data to improve response quality and task accuracy.

Retrieval-augmented Generation

Integrate external knowledge sources into LLM workflows to improve factual accuracy and generate more context-aware responses.

Prompt Engineering and Optimization

Design and refine prompts that improve output consistency, reduce errors, and support more reliable task execution.

Enterprise LLM Integration

Integrate language models with enterprise systems and internal tools to streamline workflows and improve information access.

Conversational AI Solutions

Develop conversational AI experiences that automate support interactions and improve customer or employee engagement.

LLM-powered Application Development

Build applications powered by large language models that automate workflows and support faster access to information.

Model Evaluation and Validation

Test and evaluate model outputs using structured frameworks that assess reliability, consistency, and response quality.

AI Infrastructure and Deployment

Deploy LLMs on scalable infrastructure that supports performance, security requirements, and efficient resource utilization.

LLM Optimization and Scaling

Optimize inference performance and infrastructure usage to support growing demand while maintaining reliable response times and cost-efficiency.

AI Governance and Risk Management

Establish governance controls and oversight processes that help organizations manage AI risk, monitor model behavior, and support compliance requirements.

Looking for guidance about the perfect LLM development service for your needs?

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PARTNERSHIP THAT WORKS

How We Deliver LLM Development Services

Our LLM development experts, 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 your goal is to deploy enterprise AI applications, automate workflows, or build domain-specific language models.

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.

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CUSTOMIZED SOLUTIONS

LLM Development Solutions That Deliver Value

Toptal delivers leading LLM development 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 and LLM Developer

AI Product Manager

Machine Learning Engineer

NLP Engineer

Cloud Architect

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

Hafiz Haseeb Ahmed

Verified Expert in Engineering

8+ Years

of Experience

AI and LLM Developer

Hafiz is a full-stack developer with more than eight years of experience developing robust applications for high-volume businesses in an agile environment. He is a problem-solving team player with a can-do attitude and phenomenal communication skills. Hafiz has been working as a remote independent contractor with companies all over the globe.

Previously at

Adrian Gonzalez

Verified Expert in Product Management

13+ Years

of Experience

AI Product Manager

With an engineering degree, two master's degrees, including an MBA, and the ability to speak four languages, Adrian has delivered as a product manager in North America, Latin America, and Europe on multiple innovation initiatives, including software development, AI strategy, project delivery, blockchain, geolocation, and Agile implementation. Adrian has extensive experience in technical and business roles and has worked in several industries: telecom, cloud native, supply chain, retail, fintech, and IT.

Previously at

Abhimanyu Veer Aditya

Verified Expert in Engineering

19+ Years

of Experience

Machine Learning Engineer

Abhimanyu is a machine learning expert with more than 19 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

Samantha Guerriero

Verified Expert in Engineering

20+ Years

of Experience

Machine Learning Engineer

With over 20 data science and AI projects delivered for startups, enterprises, and academia, Sam offers a unique expertise blend as a senior AI consultant skilled in both hands-on engineering work and leadership roles with a special focus on team leading, project management, and thought leadership. By exploring the AI field from diverse perspectives and through varied projects, Sam is interested and committed to developing AI initiatives where growth, impact, and kindness are all at the center.

Previously at

Mohab Ayman

Verified Expert in Engineering

9+ Years

of Experience

NLP Engineer

Mohab is a data scientist and machine learning developer who specializes in natural language processing (NLP) and computer vision. He has more than nine 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

Subbu Somasundaram

Verified Expert in Engineering

22+ Years

of Experience

Cloud Architect

Subbu is a subject matter expert in information security and has more than 22 years of information technology experience. He has assisted large enterprise customers in the banking, telecommunication, and e-commerce sectors with security transformation, DevSecOps, security architecture, and implementations. Subbu’s security expertise includes AWS, GCP, IAM, enterprise security, data protection, and application security and compliance.

Previously at

On-demand Talent & Teams

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

Machine Learning Engineer

AI Consultant

AI Project Manager

Machine Learning Engineer

Machine Learning Developer

NLP Engineer

Data Engineer

AI Product Manager

Machine Learning Infrastructure Engineer

Verified Expert in Engineering

12+ Years

of Experience

Machine Learning Engineer

Adam has more than 12 years of experience in data engineering and data science. His tools of choice include Python 3, Spark, and SQL. His main focus areas include ETLs and machine learning marketing pipelines. Adam is able to effectively communicate with both highly technical and nontechnical specialists.

Previously at

Verified Expert in Engineering

12+ Years

of Experience

AI Consultant

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 Project Management

16+ 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.

Previously at

Verified Expert in Engineering

18+ 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, natural language processing, 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

13+ Years

of Experience

Machine Learning 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

Verified Expert in Engineering

12+ Years

of Experience

NLP Engineer

Filip is a machine learning engineer with many years of professional experience. He has 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

27+ Years

of Experience

Data Engineer

Anthony is an analytical and resourceful leader with more than 27 years of experience in data engineering, database development, and process design. He has extensive experience in the financial services industry and a strong ability to understand business and data requirements to develop customized, value-added applications.

Previously at

Verified Expert in Product Management

10+ Years

of Experience

AI Product Manager

Charles is an industry leader in healthcare NLP with over a decade of experience as a data-science technical manager. As a player-coach, Charles has led multimillion-dollar projects in health-tech Fortune 500s, such as United Health, Philips, and AstraZeneca. Charles also has a PhD in computational linguistics. With over 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 Engineering

16+ Years

of Experience

Machine Learning Infrastructure Engineer

Ronen started his professional career as a software developer but quickly transitioned first into OS and middleware administration, and then into the DevOps and cloud space. Overall, Ronen possesses expert knowledge of Java/JEE, networking and security principles, DevOps and automation strategies, and intimate knowledge of the Microsoft Azure cloud. Ronen is seeking to continue working within the cloud utilizing DevOps and automation principles.

Previously at

Looking for guidance about the perfect LLM development service for your needs?

Get a Free Consultation Now

Looking for guidance about the perfect LLM development 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.

Fortune 500 CPG company partners with Toptal to pivot to machine learning-assisted marketing engagement management.

Challenge: A leading food and beverage brand was working with multiple costly third-party marketing vendors. The client sought expert advice to create in-house software solutions for multiple high-cost functions, including media mix strategization and engagement tracking.

Solution: Toptal’s team developed a proprietary, in-house marketing intelligence software platform powered by machine learning. The team also introduced a standardized tech stack and change management system, streamlining processes by merging teams previously siloed by geography and tool sets.

Outcome: Using Al tools developed by Toptal’s team, the client has saved millions in third-party spending. It can now determine ideal channel mix, select prospects, and access detailed conversion and engagement data across up to eight markets. Toptal’s team negotiated new partnerships with other media companies the client worked with, giving the client access to additional data above and beyond what the competition sees. Armed with new data and redirected savings, the client has expanded its marketing software product development initiatives.

Working with [the client] was not just about addressing their immediate challenge but reshaping their entire media engagement strategy to be more autonomous and efficient.

Horia Mărgărit

Toptal Machine Learning Developer

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 LLM Development Field

Read the latest articles and resources to keep you current on emerging trends in large language models, generative AI, AI governance, 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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