Hire AI Developers

Expertise Backed By 16+ Years of Experience and 350+ Clients Worldwide

Need assistance with AI development, integration, or model fine-tuning? Hire experienced AI developers from SysGears to build AI agents, generative AI solutions, and RAG pipelines for businesses across multiple industries. Our specialists can join your project at any stage and help you design and implement high-quality software solutions.

How to Hire AI Developers at SysGears

First, we discuss your staffing needs, including the number of AI developers, technology stack, budget, and hiring urgency. Leave us your contact information through this form, online chat, or email info@sysgears.com, or book a convenient time directly in our calendar. Before you reveal any sensitive project details, we sign an NDA.

Based on your requirements, we finalize the roles you need and the level of specialists’ involvement. The defined setup can be flexibly adapted later as your requirements evolve.

We then select available AI developers from our team based on the role responsibilities and tech stack requirements. You can review their CVs and interview them if necessary to make sure they are the best fit for your team. We at SysGears follow an established talent development strategy, so any specialist you hire works according to the shared quality and delivery standards.

Once the Cooperation Agreement is signed, our AI developers join your project and get acquainted with the technical context, their responsibilities, and communication workflows within your in-house team. Our specialists are trained to get up to speed quickly and thus minimize onboarding time.

When you hire remote AI developers at SysGears, you receive continuous support from our team: our partner success manager regularly collects feedback and helps address issues as they arise. As your project needs evolve, we can scale the team with additional developers or other specialists, or keep it lean for ongoing application maintenance.

Why Hire AI Developers at SysGears

Strong Engineering Expertise

SysGears has cultivated an engineering culture built on curiosity, continuous learning, and high software quality standards. With strong expertise in Scala, Python, JavaScript/TypeScript since 2010, our engineers have been working on diverse AI development projects since the rise of LLMs in 2023, including the development of AI agents and genAI-based solutions, LLM integration, and model fine-tuning. Explore the skills and technology stack they bring.

Cross-Industry Experience

Our AI engineers have extensive experience building AI-based software for clients across diverse industries, including healthcare, ecommerce, telecom, digital marketing, and many more. Such a background helps them approach new challenges from a broader perspective, anticipate potential risks, and identify effective solutions faster.

Business-First Approach

Our AI developers don’t use technology only because it is popular; a primary factor that guides our technical decisions is your business goals. We carefully analyze your challenges, risks, constraints, and prospective opportunities to help you build an AI-powered solution that delivers real business value.

Understanding of Current AI Limitations

Our AI developers understand the capabilities and limitations of modern AI tools, especially in terms of security. They implement robust measures to minimize the chance of data leakage, irrelevant and harmful outputs, and AI hallucinations.

Core Skills of Our AI Developers for Hire

Founded in 2010, SysGears has built a team of engineers committed to continuous professional development and the highest software quality. When you hire a remote AI developer fromSysGears, you get a specialist with the following competencies:

Hard Skills

Excellent programming skills: mastery of Python, TypeScript and its supporting libraries like NumPy, PyTorch, TensorFlow, and Pandas, as well as frameworks such as LangChain and LangGraph, and AI SDK;

LLM API integration: connecting and configuring third-party models, including output configuration, tool calling, streaming, token usage management, and fallback logic;

Prompt engineering: designing, testing, and optimizing prompts for accuracy, latency, predictability, and efficient token usage;

RAG pipeline design: connecting models to proprietary data through document ingestion, embeddings, chunking, vector or hybrid search, metadata filtering, and context assembly;

AI orchestration: building the coordination layer that manages how AI agents, models, data sources, and workflows work together as a system;

Model fine-tuning: using relevant fine-tuning techniques to adapt third-party models to the specific business use cases;

Knowledge of secure AI engineering principles: implementing prompt injection safeguards, RAG data leakage protection measures, harmful content guardrails, and other solutions that help reduce the risk of common AI exploits;

Cloud & MLOps: ability to deploy, monitor, and scale models using platforms like AWS, Azure, and Google Cloud.

Soft Skills

Critical thinking to assess trade-offs and solve engineering challenges of various complexity;

Communication skills to explain complicated technical concepts in simple terms, contribute to team discussions, and maintain transparency;

Ownership skills to identify potential issues before they affect the project at scale and suggest improvements; 

Time management skills to meet deadlines and effectively work in distributed teams;

Adaptability to quickly adjust to newly emerging requirements and learn new technologies, anticipating project needs early;

Attention to detail during AI software development, testing, and code review.

Hire AI Engineers For Your Business Needs

AI-Powered Application Development

Hire AI developers from SysGears to build custom web and mobile applications powered by the latest LLMs from OpenAI, Anthropic, and Google. From AI-enabled enterprise software to AI-powered SaaS platforms, our engineers will help you automate your business operations, deliver a more personalized customer experience, and effectively stand out from competitors.

LLM Fine-Tuning

Hire offshore AI developers to adapt public LLMs for domain- and business-specific tasks. Our engineers use fine-tuning techniques like QLoRA for open-weight models like LlAma and provider-supported fine-tuning approaches to optimize model performance and output quality based on your requirements.

AI Consulting

If you need expert advice on any aspect of AI adoption — from AI transformation strategy to targeted consultations tackling specific LLM integration challenges — hire our AI consultants. Relying on hands-on experience across various AI-enabled systems, they can assess implementation feasibility, help configure cost-efficient AI usage, evaluate security risks, and suggest mitigation strategies.

AI Integration

Whether you want to enhance your existing software with AI capabilities or make an LLM integration a core feature of your new app, hire dedicated AI developers at SysGears. We will help you choose the right integration approach, securely connect your app to the AI service, configure output consistency, and optimize cost per request.

AI-Enabled Software Maintenance

If you need to hire AI engineers for regular app maintenance or targeted troubleshooting, our team can help. Free up your in-house resources for product expansion, while our specialists assist with routine tasks and current AI feature enhancements, keeping your application reliable and aligned with your business needs.

Hire Our Engineers to Bring Your AI Solution to Life

AI Agent Development

If you need to automate multi-step business workflows without expanding your permanent team, delegate the entire AI agent development to our offshore AI engineers. We build task-focused agents with LangGraph and multi-agent systems with frameworks such as CrewAI while optimizing token usage and ensuring data security.

AI Chatbot Development

Hire remote AI developers to build a tailored AI chatbot or virtual assistant for internal workflows, customer service, and other business needs. Our experience encompasses, but is not limited to, creating conversational bots for ecommerce (e.g., product search assistants based on GPT-4), customer-support bots (Dialogflow), Replika-style AI companions, and RAG-based chatbots, including internal Q&A assistants.

Generative AI Solution Development

Looking to hire generative AI engineers to expand your team? Our specialists can help with full-stack genAI software development, as well as more targeted tasks such as text-to-video generative pipeline design, AI image generation model fine-tuning (like Stable Diffusion), and writing and optimizing AI prompts for cost and quality.

RAG Systems Engineering

If you need to ground your AI-based solution in proprietary data, hire LLM engineers at SysGears who can handle the end-to-end development of a retrieval-augmented generation (RAG) pipeline. From internal knowledge assistants to customer-support chatbots and RAG-powered copilots, we can help you build solutions that provide relevant and accurate responses.

Voice AI Workflow Development

Our AI engineers can strengthen your team with voice AI integration expertise. In particular, they have experience in AI-powered call-center automation (end-to-end IVR flows), voice-AI call integration (e.g., Twilio + Azure AI Search), creating voice-agent funnels (e.g., VAPI + GoHighLevel), and building voicebots (e.g., with ElevenLabs TTS). 

Predictive AI Solution Development

For sales forecasting, credit-risk assessment, contract risk scoring, or predictive maintenance needs, hire offshore AI developers with relevant experience in predictive analytics and forecasting software development. We can help you select and design proper software architecture, build reliable data pipelines, and integrate a predictive analytics model into your existing solution.

Workflow Automation Solution Development

Hire a dedicated AI developer from SysGears to build automation workflows that connect online tools, LLMs, and APIs used in your daily work, freeing up your time. Experienced in automating email processing, invoicing, lead qualification, and sentiment analysis, our engineers use platforms like n8n and Zapier for AI orchestration, GoHighLevel and Retell AI for CRM workflow automation, and CrewAI for creating multi-agent workflows.

Natural Language Processing (NLP)

Our AI engineers build NLP-based solutions tailored to your business needs and goals. Namely, we can develop content recommendation systems, duplicate detection solutions, semantic search features, document matching and classification functionality, sentiment analysis solutions, and many more.

Computer Vision Software Development

If you seek to develop or modernize a solution with computer vision functionality, hire AI developers at SysGears. Our computer vision software development capabilities include building defect-detection vision flows for manufacturing businesses, facial recognition pipelines, player-tracking functionality for sports analytics, and vision-language data extraction from scanned PDFs.

AI Models, Platforms, and APIs We Work With

General-Purpose Models

GPT

Claude

Gemini

AI Agent Platforms

Gemini Enterprise Agent Platform (Vertex AI)

Vapi

Speech & Voice AI

OpenAI Whisper

OpenAI RealTime API

ElevenLabs

Image Generation

GPT Image

Nano Banana (Gemini)

Midjourney

Get the right AI expertise quickly and reliably. Our seasoned engineers are available for hire today. Let’s connect!

Benefits of Hiring AI Developers Remotely

Time and Cost Efficiency

Save time and money on searching, hiring, and onboarding new people. Hire remote AI developers within 2-4 weeks. When you partner with SysGears, you get specialists who can start contributing to your project from day one.

Minimal Operational Overhead

You don’t need to manage professional development, HR activities, equipment, and vacations of the specialists you hire. These responsibilities remain with their direct employer — an AI development outsourcing partner such as SysGears.

Aligned Professional Growth

Hire an experienced AI engineer who can support both immediate and long-term project needs. At SysGears, we anticipate how clients’ requirements may change over time and align each specialist’s professional development trajectory accordingly. 

Expertise from a Broader Development Team

Access knowledge of the wider technical team when multidisciplinary issues arise. A partnership with a cross-functional outsourcing company rather than a dedicated AI staffing partner enables you to expand the team faster and on flexible terms.

How Our JavaScript Developers Maintain Code Quality

Our dedicated JavaScript developers follow established engineering practices throughout the entire development process to keep code maintainable and reduce the risk of issues introduced by software changes.

Coding practices

  • Clear and consistent code structure
  • Established coding conventions
  • Modular code with clear responsibilities
  • Dependency management along with regular updates

Code review

  • Peer review of code changes
  • Review for correctness, maintainability, and consistency with project requirements
  • Review feedback on implementation decisions and potential improvements

Testing

  • Unit, integration, and end-to-end testing based on project requirements
  • Rerunning relevant tests after code changes to detect regressions
  • Tools like Jest, React Testing Library, Cypress, Mocha, and Puppeteer

Quality checks

  • Static code analysis, including linting
  • Automated testing and code-quality checks in CI/CD workflows where applicable
  • Performance checks where application requirements make them necessary

Our Experience Across Projects

AI-Powered Home Care Management Software

A U.S. home care service provider hired engineers from SysGears to build a scalable SaaS platform for home care agencies, with an AI-enabled call analysis system that helps evaluate employee performance, streamline operations, and improve business risk assessment. Our engineers integrated a convenient speech-to-text converter to generate call transcripts and evaluate them against the pre-established criteria. The AI-powered call analysis system provides comprehensive performance analytics and emergency monitoring, enabling home care agents to respond to accidents quickly and enhance safety measures.

AI-Based Mental Health App

SysGears’ engineers participated in developing an AI-powered mental health application that helps users interpret their dreams and better understand their feelings. Our team integrated an OpenAI model into the app for in-depth dream analysis that draws on common psychological and neurobiological theories. They also made the application localization-friendly, enabling the client to provide translations, set notifications based on the user’s timezone, and adapt the data to the needs of the international audience without redeploying.

Businesses Share Impressions From Hiring AI Developers At SysGears

How Different Industries Benefit from AI Staff Augmentation

Healthcare

  • Patient chatbots
  • RAG-based clinical knowledge assistants
  • Medical image analysis tools
  • AI-based clinical document management tools

Ecommerce and Retail

  • Personalized product recommendation engines
  • Semantic / Visual product search
  • AI-based shopping assistants
  • AI-powered demand forecasting tools

Transportation and Logistics

  • AI-based route optimization solutions
  • Predictive fleet maintenance solutions
  • AI-powered shipping document management tools
  • Workload, delivery time, and demand forecasting tools

Travel and Hospitality

  • AI-based travel planning apps
  • Hotel guest service chatbots
  • Virtual concierge apps
  • AI-enabled guest feedback analysis tools

Digital Marketing

  • AI-powered lead qualification systems
  • Marketing content generation tools
  • Campaign performance analytics tools
  • AI agents for multi-step marketing

Media and Entertainment

  • Generative image and video production tools
  • Transcription and summarization features
  • AI-based content moderation tools
  • AI-powered media asset search

Real Estate

  • Automated tenant screening software
  • Smart property search solutions
  • RAG-based property documentation assistants
  • Property image visual analysis features

Telecom

  • Voice AI agents for call-center automation
  • Automated call transcription and sentiment analysis tools
  • Multilingual customer communication assistants
  • Customer churn prediction systems

Construction

  • Computer vision for construction site inspections
  • AI assistant for technical and project documentation
  • Automated document data extraction tools
  • Equipment predictive maintenance tools

Manufacturing

  • Computer vision defect-detection systems
  • AI product search request classification features
  • AI-powered stock monitoring

Insurance

  • AI-powered claims document processing solutions
  • AI-assisted insurance underwriting tools
  • AI agents for insurer workflows
  • Customer chatbots for insurance firms

Sports

  • Player tracking and movement analysis systems
  • Speech recognition and transcription tools for coaches
  • Personalized sports content recommendation engines
  • AI-powered coaching assistants

Biotech

  • AI assistants for lab and R&D workflows
  • AI-powered dataset analysis tools
  • Biotech AI agents
  • Scientific document search tools

Food & Beverage

  • Inventory and procurement optimization tools
  • AI-powered booking assistants
  • Smart back-office automation tools
  • Computer vision for product quality inspection

Technology Stack Used by Our AI Developers

AI Frameworks

LangChain

 LangGraph

Pydantic AI

AI SDK

BeeAI

Mastra

LlamaIndex

Langfuse

AI Platforms

OpenAI

Anthropic

Google Gemini

VertexAI (Gemini Enterprise Agent Platform)

promptfoo

Voice AI

Vapi

OpenAI Whisper

ElevenLabs

OpenAI

Realtime API

Vector Databases

Pinecone

pgvector (PostgreSQL)

Qdrant

Cloud / Infrastructure

AWS

GCP

Azure

Docker

Frontend Technologies

React

Next.js

React Native

Expo

Redux

MobX

Apollo Client (GraphQL)

Vite

JavaScript/TypeScript Backend Ecosystem

Node.js

Express

NestJS

Apollo Server (GraphQL)

WebSockets

BullMQ

Redis

Swagger

Sentry

TypeORM

Prisma

Mongoose

Python Backend Ecosystem

FastAPI

Django/DRF

Flask

Celery

SQLAlchemy

Pydantic

Pandas

NumPy

Scala Backend Ecosystem

Play Framework

 http4s

Akka / Pekko

ZIO

Cats

FS2

Slick

Quill

Doobie

Caliban

FAQ

What does it cost to hire an AI developer?

Hiring an offshore AI developer through an Eastern European outsourcing company can cost around $35-$80 per hour.

The exact cost depends on the developer’s expertise, experience, scarcity of the required skills, and location. To compare, the average base salary of an AI developer in the United States is around $152,000 per year, which makes hiring offshore engineers a more cost-efficient option.

Dedicated team vs. staff augmentation vs. a freelance marketplace — which fits an AI project?

The choice of a cooperation model and the way to hire AI engineers depends on both your immediate needs and long-term project plans. Platforms like Upwork enable you to find specialists quickly, fill short- and long-term positions, and manage work through their built-in tools. However, cooperating with independent freelancers may involve several risks, such as unexpected availability issues, inconsistent quality standards, or extra coordination when you need to add more specialists. A partnership with SysGears keeps direct, freelancer-like communication while adding the accountability and support of a team with:

  • 16 years of experience
  • well-orchestrated processes for professional development
  • zero-risk replacements
  • seamless team scaling.

Opt for AI staff augmentation if you already have an engineering team and need to add a specific skill set, such as RAG, AI agent development, or LLM integration specialists. Alternatively, you can hire extra AI developers to boost your team capacity during releases. A dedicated team model fits best when you need a separate engineering unit to handle a larger AI workstream from start to finish, including architecture, development, integration, testing, and deployment.

Can your AI developers integrate AI with my existing software or applications?

Yes, our AI engineers can build and integrate AI features into your existing application through APIs, SDKs, and custom integration layers. We can enhance your software with generative, conversational, and agentic AI capabilities while preserving your current application’s architecture where possible.

Who owns the prompts, embeddings, and evaluation datasets your developers produce?

Our Cooperation Agreement includes an obligatory IP rights assignment clause, which means that the intellectual property created by our developers for your project, including prompts, embeddings, and evaluation datasets, is assigned to you.

How do you handle AI data security and privacy?

We apply security measures at both the application and project level to maximize data protection. For AI-based solutions, our developers establish strict RAG access boundaries, classify personally identifiable information, implement prompt injection safeguards, and introduce permission controls to prevent AI from accessing data or performing actions that are not allowed for the intended user role. For sensitive operations, we also implement human-in-the-loop confirmation.

At the project level, we protect your data through signing an NDA. We also implement role-based access to project assets, configure proper secrets management, set up an isolated development environment, and follow other established security practices obligatory for all SysGears employees.

We have a working prototype built with ChatGPT — do we need AI developers or regular engineers to make it production-ready?

Usually, you need a mix of both skills. An AI developer can choose an optimal model integration architecture, improve prompts in terms of quality, consistency, and efficient token usage, introduce security guardrails, and handle edge cases. Software engineers need to handle the surrounding frontend and backend development.

At SysGears, AI developers are senior software engineers, so you can hire one specialist to cover both areas.

How many AI developers do we need to ship a first production feature, and when do we scale up?

The number of AI developers for hire depends on the feature scope, integration complexity, existing team size, and urgency requirements. In many cases, one or two AI engineers will be enough to develop and launch the AI feature in production given the rest of your in-house team covers the remaining app development, QA, and other processes. If you hire AI engineers at SysGears, we can seamlessly add more specialists to your project as the need arises.