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Our LLM engineers specialize in prompt engineering, data preprocessing, model training, and seamless integration, delivering scalable AI solutions. From custom chatbots to enterprise-grade NLP systems, our LLM developers build high-performance language models.
Tailoring large language models to specific domains for improved accuracy, performance, and task-specific language understanding.
Designing, testing, and refining prompts to guide LLM outputs with precision, context awareness, and minimal errors.
Seamlessly integrating LLMs into enterprise applications with scalable infrastructure, API endpoints, and real-time processing capabilities.
Preparing high-quality training datasets by cleaning, annotating, and formatting data to ensure effective LLM learning outcomes.
Hire LLM experts with proven expertise of delivering secure AI systems using GPT, LLaMA, Claude, and open-source models across finance, healthcare, and legal sectors.
Train, fine-tune, and optimize LLMs for domain-specific tasks, ensuring relevance, performance, and innovation in every AI-powered application.
Launch production-ready LLM systems in weeks with our streamlined development workflows and pre-vetted engineers.
Ensure your AI solutions meet security standards and compliance requirements like GDPR, HIPAA, and SOC2, needed for enterprise grade applications.
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Streamlit
RAY
PyTorch
ONNX
MLflow
MetaGPT
LlamaIndex
JAX
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Gradio
Flask
AWS
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Cohere
Dalle
Databricks
Mistral
OpenAI
Replicate
Runpod
Salad
Vast AI
Coqui
Deepspeed
Fairscale
LoRa
Xformers
LobeHub
Supercharge your AI initiatives by hiring our experienced LLM engineers. We design advanced, customized language solutions that streamline workflows, enhance user experience, and deliver measurable business impact at scale.
Build domain-specific LLMs from scratch using frameworks like PyTorch, tailored for precision, scalability, and business impact.
Refine pre-trained models like GPT and PaLM to improve accuracy for industry-specific applications and tasks.
Develop GenAI applications using LLMs to automate decisions, enhance UX, and transform digital workflows intelligently.
Seamlessly embed LLMs into your existing systems for AI-driven workflows, real-time responses, and operational efficiency.
Create intelligent, context-aware chatbots that improve customer interaction using LLMs and real-time conversation flows.
Use LLMs to analyze sentiment, tone, and intent in text, guiding smarter marketing and business decisions.
Implement NLP capabilities like summarization, NLU, and translation to automate and enhance communication processes.
Generate high-quality, relevant content at scale using LLMs with semantic understanding and domain-specific knowledge.
Extract insights from raw data using LLMs and RAG (Retrieval-Augmented Generation) models to support decisions with real-time intelligence.
Artificial intelligence has evolved from a trend into a core business enabler. At Jellyfish Technologies, we deliver AI solutions that are purpose-built to align with your strategic goals—enhancing user experiences, streamlining operations, and achieving measurable business outcomes across diverse industries.
Jellyfish Technologies partnered with a global enterprise to develop an AI-powered SaaS platform, integrating AI models, automation, and real-time analytics to optimize workflow automation, customer engagement, and data-driven decision-making.
TECH: Python | LangChain
Jellyfish Technologies partnered with a global enterprise to develop an AI-powered SaaS platform, integrating AI models, automation, and real-time analytics to optimize workflow automation, customer engagement, and data-driven decision-making.
Jellyfish Technologies built an AI-powered document intelligence system for a leading community care provider, using NLP, OCR, and machine learning to automate validation, enhance accuracy, and streamline Medicaid approvals while reducing errors and fraud.
TECH: NLP | OCR | Python
Jellyfish Technologies built an AI-powered document intelligence system for a leading community care provider, using NLP, OCR, and machine learning to automate validation, enhance accuracy, and streamline Medicaid approvals while reducing errors and fraud.
Jellyfish Technologies partnered with a top InsurTech firm to build an AI-powered entity extraction system. Using AI models, OCR, and GraphDB, the solution seamlessly automates document verification, reduces manual effort, and enables real-time data extraction.
TECH: Gen AI | Neo4J | OCR
Jellyfish Technologies partnered with a top InsurTech firm to build an AI-powered entity extraction system. Using AI models, OCR, and GraphDB, the solution seamlessly automates document verification, reduces manual effort, and enables real-time data extraction.
Jellyfish Technologies built an AI-powered track monitoring system using computer vision and edge computing. It detects obstacles, identifies faults, reduces manual inspections, and enables proactive maintenance with real-time processing and seamless integration.
TECH: OPENCV | ONNX
Jellyfish Technologies built an AI-powered track monitoring system using computer vision and edge computing. It detects obstacles, identifies faults, reduces manual inspections, and enables proactive maintenance with real-time processing and seamless integration.
Before you begin your search to hire large language model developers, take time to clearly define the problem you want to solve with AI. Are you looking to build a GenAI-powered chatbot? Automate content generation? Improve enterprise search through semantic understanding? Each goal will demand different LLM capabilities, such as text summarization, question answering, or sentiment analysis
Additionally, assess your AI readiness. Do you already have clean, labeled data? Do you need support for multilingual models? This clarity will help you engage the right LLM developer for hire who aligns with your use case, data availability, and deployment environment. LLMs are powerful—but only when implemented in the right context with the right foundation.
Not all developers can work effectively with LLMs. These models require a deep understanding of natural language processing (NLP), prompt engineering, tokenization, model fine-tuning, and inference optimization. When you hire LLM engineers or hire LLM prompt engineers, look for individuals proficient in
Skilled LLM programmers for hire can build or fine-tune models that not only deliver accurate results but also minimize hallucinations and bias. This specialized talent ensures you’re not just deploying an AI system, but one that’s reliable, fast, and aligned with real-world context
LLMs behave differently depending on the dataset, domain language, and end-user expectations. For example, legal language demands precision and formality, while healthcare applications must ensure compliance and contextual accuracy. When you hire dedicated large language model developers, prioritize candidates with domain expertise relevant to your industry
Beyond that, deployment expertise is crucial. Can they integrate the model into your existing cloud or on-prem infrastructure? Do they understand how to manage APIs, reduce latency, or optimize cost through model distillation? Hiring experienced developers who’ve taken models from experimentation to production ensures your solution is not only intelligent but also secure, scalable, and enterprise-ready.
You’ve found the right LLM experts—now structure the collaboration to suit your project. Depending on your scope, timeline, and budget, choose from the following
Flexibility in engagement helps you stay agile. Whether you need full-time support, sprint-based development, or consulting from LLM engineers for hire, an adaptive model ensures you get maximum value without overcommitting resources
Also, ensure IP security, NDA protection, and transparent delivery models—especially if your use case involves sensitive data or proprietary workflows
Share your project details and developer requirements with our experts.
Interview and handpick the best developers tailored to your needs.
We handle onboarding while you focus on launching your project seamlessly.
At Jellyfish Technologies, we offer flexible engagement models to help you hire AI development teams that best fit your business goals, budget, and timelines. Whether you’re looking to hire a dedicated team of AI engineers, scale an existing project, or execute a well-defined AI roadmap, we provide tailored solutions for every scenario.
Hire a dedicated AI team to work exclusively on your project from strategy and model development to testing, deployment, and long-term optimization. This model ensures deep involvement, domain understanding, and seamless integration.
Need to expand your internal capabilities? Hire AI development teams to augment your existing team with niche AI expertise. Whether it’s NLP, computer vision, or generative AI, we help bridge skill gaps and accelerate delivery timelines.
For well-scoped, outcome-driven initiatives, we offer project-based AI development services. Engage a high-performance AI developer team to execute your project end-to-end from proof of concept to product delivery within a fixed budget and timeline.
When you hire LLM developers, you gain access to experts who build intelligent, language-driven applications—ideal for automating workflows, enhancing customer experiences, and deriving insights from unstructured data across industries.
Look for LLM developers with expertise in GPT, BERT, Hugging Face, prompt engineering, and model fine-tuning. The best LLM engineers also understand deployment, security, and domain-specific adaptation for scalable AI solutions.
Yes, you can hire remote LLM developers for short-term or project-based needs. Flexible models allow you to hire experienced developers quickly—ideal for MVPs, pilot testing, or fast-track innovation efforts.
Hiring LLM prompt engineers ensures effective input design, which guides models to produce accurate, context-relevant outputs. Their expertise helps reduce hallucinations, improve precision, and align model behavior with specific business goals.
You can hire dedicated large language model developers, assemble hybrid teams, or outsource specific tasks. Whether you need full-time developers or LLM programmers for hire, flexible engagement ensures optimal budget and scalability alignment.
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