Engineering Quality Solutions
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Are you willing to hire generative AI engineer services? We have mastered our team in delivering excellent Gen AI solutions for the following Generative AI Engineering Services.
Are you ready to transform your business with the power of next-gen AI? SolGuruz is your dedicated Gen AI partner in hiring top-tier Gen AI engineers to build innovative solutions.
While you hire generative AI engineers from SolGuruz, be assured of leveraging the following skill set of our engineers.
Our generative AI developers possess comprehensive knowledge and skills in the principles and techniques that drive advanced AI applications.
Our Gen AI developers have a proven track record of working with generative AI models, highlighting hands-on experience and a deep understanding.
Our developers hold proficiency in programming languages, leveraging technical expertise to develop and optimize machine learning and generative AI solutions.
Our Gen AI engineers have immense data processing knowledge to enhance the quality and diversity of datasets used in machine learning and generative model training.
Our Gen AI developers display strong analytical and research skills, enabling the critical evaluation of complex problems and the development of innovative solutions.
We are proud to have a team with exceptional collaboration and communication skills, emphasizing the ability to work effectively in an interdisciplinary work environment.
Hiring generative AI developers is not always a full-time job; hence, we give you a choice through our flexible engagement models.
Most Popular
8 Hours per day
160 Hours per month
4 Hours per day
80 Hours per month
Flexible hours
60 Hours minimum
This table highlights key differences in hiring remote Generative AI developers specializing in large language models (LLMs), diffusion models, LLMOps, and advanced AI apps in India, Europe, and the USA. See hourly rates, technical expertise, and cost benchmarks for agencies and startups in 2025.
Parameter | India | Europe (CEE & Western) | USA |
---|---|---|---|
Hourly Rate | $22 - $90/hr | $55 - $140/hr (CEE) / $85 - $200/hr (Western) | $100 - $300/hr |
Expertise & Certifications | Strong ML/AI talent pool; advanced skills in LLMs (OpenAI, Llama 3, Gemini), latent diffusion/image models, data pipeline engineering. Many certified in ML, Data Science (Coursera, AWS, GCP). | Excellent engineering culture; many with MSc/PhDs in AI, certified on Azure/AWS, exposure to GenAI R&D. Extensive Python, PyTorch, TensorFlow, cloud ML experience. | World-class, but premium-priced. Leads in advanced LLM engineering, MLOps, cutting-edge GenAI research. Many with Google, Stanford, MIT, OpenAI collaborations. |
English Proficiency | Above global average (especially technical/IT sector). | High in Western Europe, good to high in CEE. | Native. |
Project Management | 90%+ Agile/Scrum adoption, modern tools (Jira, Notion, Slack). | Well-established Agile/Scrum, especially in Western Europe. | Very mature, industry-standard practices. |
Health Insurance Cost | Very low ($500 - $1,000/yr per employee, often employer/self-funded) | Moderate to high ($2,000 - $4,000/yr per employee) | Very high ($7,000 - $15,000/yr per employee, employer-sponsored) |
Office Operation Cost | Very low (rent/utilities/admin as much as 70% below US/EU) | Moderate (CEE < Western Europe). | Highest globally. |
Choose the right model for your next AI leap: compare SolGuruz’s pre-vetted GenAI teams, traditional in-house AI hiring, and the flexibility of freelance platforms for cost, speed, security, and project suitability.
Parameter | SolGuruz Dedicated Team | In-House Full-Time | Freelance Platforms |
---|---|---|---|
Time to Hire | 1-2 weeks (pre-vetted GenAI engineers) | 8-16 weeks (recruitment + notice) | 1-4 weeks |
Up-Front Cost | Zero recruitment fees | 15-25% hiring expense (agency, HR) | Platform + 10 - 20% markup |
Retention/Ramp-Down Risk | Contract-based; flexible scaling, quick replacement | High - full salary, notice/severance | High turnover, project continuity risk |
Management Overhead | Solution architect/PM included, weekly demos | Full HR, payroll, infra | Self-managed |
IP & Security | NDA, ISO-27001 workspace, AI compliance | Direct, full IT control | Varies by contractor |
24×7 Support | Optional global coverage available | Typically local business hours | Depends on freelancer |
Hidden Costs | None - tools, infra, benefits included | Benefits, facilities, compliance costs | Escrow fees, schedule/scope creep |
Ideal For | Product launches, rapid POCs, scale-ups, ongoing AI improvement | Mission-critical, confidential enterprise platforms | Short-term pilots, micro-features, quick tests |
Build advanced AI-powered solutions with SolGuruz: our generative AI specialists bring expertise in LLMs, vision/voice models, MLOps, and ethical AI. The following table shows the skillset - and direct value - delivered to your GenAI projects.
Skill | Description | Why It Matters For Your GenAI Project's Objectives |
---|---|---|
Advanced Model Development | Expertise in training/fine-tuning LLMs (GPT-4/4o, Llama, Gemini), diffusion/image models (Stable Diffusion, DALL-E). | Enables cutting-edge text, image, and multi-modal generation customized to your data and use case. |
Prompt Engineering & Evaluation | Designing, testing, and refining prompts for high-quality outputs; AI self-evaluation, prompt pipelines. | Boosts reliability and creativity of AI-generated results, ensuring business-ready UX. |
API & Ecosystem Integration | Integrating GenAI APIs (OpenAI, Anthropic, Replicate), vector DBs (Pinecone, Weaviate), RAG, LangChain. | Builds smart, connected AI features into websites, apps, data workflows, and CRMs. |
Front-End & App Integration | Connecting LLMs to web and mobile apps using TypeScript, Python/Flask, Node, React/Vue. | Delivers seamless user experiences on any digital interface. |
Data Engineering & ETL for AI | Managing cleaning, labeling, and pre-processing large, diverse datasets for AI training. | Ensures quality input to GenAI models for improved output quality and accuracy. |
Security & Responsible/ Ethical AI | AI safety, bias detection/mitigation, user privacy, explainability, and audit trails. | Protects user/business data and maintains legal/regulatory compliance. |
Automated Testing & Monitoring | Unit/integration testing of models, output safety checks, live monitoring. | Ensures reliability post-deployment; proactive detection of model drift/errors. |
Cloud & DevOps Readiness | End-to-end CI/CD for AI (AWS/GCP/Azure), containerization, serverless GenAI hosting. | Guarantees fast rollouts and minimal downtime at global enterprise scale. |
Agile Collaboration & Communication | Scrum/Kanban, cross-functional teamwork, technical documentation, demo readiness. | Smooth progress, rapid pivots, and stakeholder clarity throughout project lifecycles. |