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Top LLM Engineers Ready to Join Your Team

Vetted for

Tech & Soft Skills

Verified for

Remote Performance

Average Job Engagement

13+ Months

Milos V.

Milos V.

Data Scientist

10 Years of Experience

Skills

Large Language Models (LLMs) 7 yrs

Python

Python 10 yrs

TenserFlow 8 yrs

Machine Learning 9 yrs

PandasPyTorchSlack

+ few more

Cristi T.

Cristi T.

AI Engineer

8 Years of Experience

Skills

Large Language Models (LLMs) 8 yrs

Machine Learning 8 yrs

Keras

Keras 7 yrs

TenserFlow 8 yrs

NumPyPandasPython3

+ few more

Christine C.

Christine C.

ML Engineer

9 Years of Experience

Skills

Large Language Models (LLMs) 6 yrs

Python

Python 9 yrs

Artificial Intelligence 6 yrs

VS Code 6 yrs

Slack

+ few more

Kevin D.

Kevin D.

LLM Training Engineer

8 Years of Experience

Skills

Large Language Models (LLMs) 6 yrs

Python

Python 8 yrs

Robotics 8 yrs

Pandas

Pandas 7 yrs

PyTorchPython3

+ few more

Raul N.

Raul N.

Deep Learning Engineer

8 Years of Experience

Skills

Large Language Models (LLMs) 5 yrs

Python

Python 8 yrs

TenserFlow 8 yrs

Stable Diffusion

Stable Diffusion 8 yrs

PyTorchPython3

+ few more

More profiles

See more profiles on our platform

Try talent before you hire

97% conversion rate from trial to placement

30-day risk-free trial

Assess both the candidate’s hard and soft skills within a month to see if they align with your criteria.

$0 - No Risk

Charges apply only if the talent successfully passes the trial period evaluation.

48 hrs Talent Replacement

If the current candidate does not meet expectations, we will promptly find a replacement.

Vector

Elite Tech Talent for Exceptional Results

Innovative Model Training

Develop a custom model tailored to your domain-specific language-related tasks, ensuring an efficient training of AI models and more accurate AI systems.

Expert Coding & Debugging via LLM

Write clean code and debug algorithms for a smooth integration of AI models into your existing infrastructure, minimizing errors and maximizing performance.

Effective Data Analysis & Retrieval

Get high-quality data, identify patterns, and evaluate and rank responses generated by AI systems employing supervised fine-tuning and human discernment for continuous model enhancement.

LLM Adoption & Integration

Guide smooth LLM adoption and implementation into your current enterprise systems, from customer service platforms to content management systems, causing no disruptions to your operations.

What Our Hire LLM Engineers Build

Hire top 1% LLM engineers from 30,000+ human-vetted professionals from LATAM and CEE.

Deploy Production-Ready AI Agents

Our LLM engineers, human-vetted from the top 1% of 30,000+ engineers from LATAM and CEE, build autonomous AI agents using GPT-4, Claude 3.5, and custom RAG pipelines. Create intelligent automation that handles complex workflows, integrates with your existing systems, and reduces operational costs by 50%. Matched in 48 hours with full engineering capabilities for 2025's agentic AI revolution.

Build Custom Fine-Tuned LLMs

Access top 1% talent through our human-matched, AI-backed process to train proprietary language models on your domain-specific data. Our LLM engineers implement LoRA, QLoRA, and full fine-tuning techniques using frameworks like Hugging Face and LangChain. Achieve 3x better performance than generic models while maintaining data privacy. Save 40-60% compared to traditional hiring with no upfront fees.

Scale AI Infrastructure for High Traffic

Our human-vetted engineers from LATAM and CEE design distributed LLM architectures handling millions of requests daily. Implement vector databases, caching strategies, and GPU optimization for sub-200ms response times. Leverage Kubernetes, Ray, and serverless platforms for auto-scaling AI workloads. Trusted by 250+ startups to deliver production-grade performance in 2025.

Implement Enterprise RAG Systems

Build retrieval-augmented generation pipelines that connect LLMs to your proprietary knowledge base. Our top 1% engineers from 30,000+ human-vetted professionals implement semantic search, document chunking, and hybrid retrieval using Pinecone, Weaviate, and Elasticsearch. Reduce hallucinations by 80% and deliver accurate, context-aware AI responses. Matched in 48 hours with globally compliant teams.

Ensure AI Security and Compliance

Our LLM engineers implement prompt injection protection, PII detection, and adversarial testing for AI systems. Build secure guardrails using frameworks like NeMo Guardrails and LangKit. Achieve SOC 2, GDPR, and HIPAA compliance across 160+ countries with human-matched talent from LATAM and CEE. Protect your AI investments while maintaining 97% client satisfaction rates.

Automate Content Generation at Scale

Deploy AI-powered content pipelines that generate marketing copy, technical documentation, and personalized communications. Our human-vetted engineers integrate GPT-4, Claude, and custom models with your CMS and workflow tools. Increase content output by 10x while maintaining brand consistency. Save $80M+ in operational costs like our client base, with no upfront fees.

Integrate LLMs with Existing Products

Our top 1% engineers from 30,000+ human-vetted professionals seamlessly embed AI capabilities into your current tech stack. Build APIs, SDKs, and microservices connecting LLMs to databases, CRMs, and enterprise software. Leverage LangChain, LlamaIndex, and OpenAI APIs for rapid integration. Matched in 48 hours through our AI-first, human-matched process for faster time-to-market in 2025.

Build AI-Powered Analytics Dashboards

Transform raw data into actionable insights with natural language interfaces powered by LLMs. Our human-vetted engineers from LATAM and CEE create conversational analytics using GPT-4, SQL generation, and real-time visualization. Enable non-technical teams to query complex datasets through chat. Achieve 40-60% cost savings with full engineering pods available for comprehensive analytics solutions.

Launch Industry-Specific AI Solutions

Our LLM engineers specialize in vertical-specific applications such as healthcare diagnostics, legal document analysis, financial forecasting, and e-commerce personalization. Leverage domain-adapted models, specialized training data, and regulatory compliance expertise. Trusted by Vodafone, Omio, and 250+ startups to deliver tailored AI solutions. Access globally compliant talent across 160+ countries with 97% of clients returning for a second engagement.

Scale your team, your way

Contract

Contract

Scale your team month-to-month with vetted freelancers, perfect for changing needs.

Find a freelancer
Direct hire

Direct hire

One-time fee for a fully-vetted, permanent, and globally compliant team member.

Make a direct hire
Full project / pods

Full project / pods

Kick off your next big project with a complete engineering team & end-to-end support.

Project kick-off
VectorVector

Elevate Your LLM Research Blending Node & Human Expertise

Index.dev excels in creating LLMs from scratch and fine-tuning pre-trained models.

Model Assessment & Strategy Building

We begin LLM development by understanding your project's unique needs, complexity, and effort estimation. Index.dev collaborates with your product experts and researchers, blending their insights with our expertise in coding, data handling, and multimodal analysis to advance your LLM's performance.

LLM Development

Index.dev's LLM training team assists in optimizing your resource investment based on your needs. Our LLM development includes training, fine-tuning, deployment, management, and ongoing maintenance of models. We deploy our skilled training team strategically to ensure optimal performance.

Fine-Tuning LLMs

We employ supervised fine-tuning (SFT) to enhance LLM capabilities by calibrating them with targeted training data. Our solutions include chatbots, virtual assistants, sentiment analysis tools, and speech recognition systems. We test data to rigorously evaluate LLMs under diverse conditions.

Iterative Model Improvement

We utilize reinforcement learning from human feedback (RLHF) and diverse parameter optimization (DPO) cycles to iteratively enhance the model. This approach allows us to improve the model based on user feedback and diverse dataset training continuously.

LLM Integration

Our LLM developers specialize in integrating large language models into various enterprise systems, software, digital products, customer service platforms, and content management systems. Prioritizing operational continuity, we ensure a well-planned integration process to minimize disruptions to your operations.

LLM Support & Maintenance

As long-term partners, we provide ongoing support and maintenance services to ensure the smooth functioning of your LLMs and LLM-based solutions. Our services include continuous monitoring of model functionality, adapting models to evolving data/use cases, implementing bug fixes, and ensuring timely software updates.

How Recruiting through Index.dev Works

1 minute

Post a job

Sign up & tell us about your project and the skills you’re looking for.

48 hours

Screen candidates

We send you 3 hand-picked interview-ready JavaScript developers for your role.

2-3 days

Interview devs

Sign up & tell us about your project and the skills you’re looking for.

Final step

Hire devs

Once contracts are signed, you and your dedicated developer can start working together, under our management.

Hire LLM Engineers

5-stage human-led vetting with 1.2% acceptance rate.

Featured in press

https://techcrunch.com/author/sergiu-matei/https://www.forbes.com/sites/jackkelly/2022/03/14/international-recruiter-shares-whats-happening-in-the-tech-war-for-talent/?sh=571746832c5bhttps://www.inc.com/rebecca-deczynski/hiring-artificial-intelligence-technologists-machine-learning-engineers-recruiting-strategy.html?utm_source=site&utm_medium=link&utm_campaign=sitehttps://www.crunchbase.com/organization/index-1212https://sifted.eu/articles/hire-tech-developers-eastern-europehttps://www.fastcompany.com/90782702/the-truth-behind-those-gloomy-tech-layoff-headlines
https://techcrunch.com/author/sergiu-matei/https://www.forbes.com/sites/jackkelly/2022/03/14/international-recruiter-shares-whats-happening-in-the-tech-war-for-talent/?sh=571746832c5bhttps://www.inc.com/rebecca-deczynski/hiring-artificial-intelligence-technologists-machine-learning-engineers-recruiting-strategy.html?utm_source=site&utm_medium=link&utm_campaign=sitehttps://www.crunchbase.com/organization/index-1212https://sifted.eu/articles/hire-tech-developers-eastern-europehttps://www.fastcompany.com/90782702/the-truth-behind-those-gloomy-tech-layoff-headlines

Index.dev in Numbers

30,000+

high performing vetted talent from Balkans, CIS & LATAM

3x

longer commitment compared to in-house engineers

100+

technologies covered, from Python & Java to Rust & Scala

7+ years

the average industry experience of our tech talent

14+

months average job engagement

$0 risk

with a 30-day payback, replacement discount, no extra fees 

Index.dev is worth sharingIndex.dev is worth sharing

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Our LLM Engineer’s Expertise

Generative Models

Our AI engineers specialize in refining foundational models to develop domain-specific models, leveraging deep expertise in architecture, training, and applications.

Natural Language Processing (NLP)

Our generative AI engineers robust applications capable of performing tasks such as text generation, sentiment analysis, text summarization, and translation with precision and efficiency.

Machine Learning

Our GenAI engineers are proficient in supervised, unsupervised, and reinforcement learning techniques, allowing them to adapt and deploy AI solutions effectively for diverse business needs.

Deep Learning

With deep expertise in this field, we work with intricate neural networks, implement cutting-edge algorithms, and customize solutions to unlock the full potential of AI for our clients.

Data Collection and Annotation

We specialize in gathering and preprocessing large datasets, a critical aspect of training generative models. Our meticulous approach ensures the quality and reliability of training data.

Model Fine-Tuning

Our engineers excel in fine-tuning pre-trained models for specific applications and domains, enabling them to create adaptable solutions tailored to our clients' unique requirements.

Frequently Asked Questions

  • How quickly can I hire an LLM engineer through Index.dev?

  • How does Index.dev vet LLM engineers?

  • What are the rates for hiring LLM engineers?

  • Can I hire a full LLM engineering team or pod?

  • How does the AI-first matching process work?

  • What if the LLM engineer isn't the right fit?

How quickly can I hire an LLM engineer through Index.dev?

  • AI-matched candidates delivered in 48 hours
  • Start interviews within days of your request
  • 4-8x faster for repeat engagements

How does Index.dev vet LLM engineers?

  • 5-stage human-led technical vetting process
  • 12,000+ assessments conducted monthly
  • Only top 1% accepted, 1.2% acceptance rate
  • Specialized LLM and NLP skill validation

What are the rates for hiring LLM engineers?

  • 40-60% cost savings vs. local hires
  • No upfront fees, pay only for successful hires
  • Transparent pricing based on experience level
  • $80M+ saved by clients to date

Can I hire a full LLM engineering team or pod?

  • Yes, full engineering pods available on demand
  • Specialized AI and STEM labs for complex projects
  • Pre-vetted teams matched to your tech stack
  • Scalable from single hires to full departments

How does the AI-first matching process work?

  • AI analyzes your requirements and tech stack
  • Human experts validate every match for quality
  • 30,000+ human-vetted engineers from LATAM and CEE
  • Sourced from 2.5M+ professionals globally

What if the LLM engineer isn't the right fit?

  • Replacement guarantee included with every hire
  • 97% client return rate for second engagements
  • Ongoing support throughout the engagement
  • Global compliance in 160+ countries

How quickly can I hire an LLM engineer through Index.dev?

How does Index.dev vet LLM engineers?

What are the rates for hiring LLM engineers?

Can I hire a full LLM engineering team or pod?

How does the AI-first matching process work?

What if the LLM engineer isn't the right fit?

Hero Pattern

Find Your LLM Engineer Today

Flexible models: talent network, delivery teams, or AI labs.

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