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956 Remote Llm prompt development developers and experts available to hire:

Llm prompt development expert - Nagma P.
Nagma P.

Llm prompt development developer in India (UTC+6)

I am a freelancer with expertise in mobile app development, web design, AI systems, and app testing. I currently work on a variety of projects, delivering innovative solutions to clients. Alongside freelancing, I teach English at Planet Spark and work as an AI Voice Trainer at Telus International. I enjoy combining my technical skills with teaching and communication to help others grow while continuously improving myself. Passionate about technology, I strive to deliver high-quality work and impactful results.

Llm prompt development architect - MANJUSHA R.
MANJUSHA R.

Llm prompt development developer in India (UTC+6)

Backend and AI Engineer with 3+ years of experience building production-grade AI tools and microservices. Specialized in LLM fine-tuning (LoRA, QLoRA), Retrieval-Augmented Generation (RAG), and scalable FastAPI systems. Experienced in deploying secure AI services on AWS using Docker, CI/CD, and MLflow. Educated in the U.S. and have worked in high-impact startup-paced environments, delivering tools that cut manual workloads by 70%+. Open to long-term remote opportunities in AI infrastructure, model serving, and intelligent backend systems.

Llm prompt development developer - Vikram P.
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Vikram P.

Vetted Llm prompt development developer in India (UTC+6)

I am an AI/ML Architect and Full-Stack Developer with over 10 years of experience in designing and delivering advanced software solutions in Healthcare. As a Forbes 30 Under 30 Asia healthcare honoree and Y Combinator alumnus, I have successfully built HIPAA-compliant level cloud architectures and scaled enterprise applications. I have a strong background in NLP, LLMs, and DevOps, and I am dedicated to leveraging AI to revolutionize healthtech and other industries. * YC Founder * Forbes 30 under 30 Asia * AI/ML Architect and Full-Stack Developer with over 10 years of experience

Llm prompt development coder - Ajith B.
Ajith B.

Llm prompt development developer in India (UTC+6)

I am Ajith from Bangalore, India. I have completed my Master of Technology in Robotics and Automation from CET Trivandrum. Currently, I serve as a Research Engineer in a startup specializing in AI, where I have gained around 7 years of invaluable experience. I have prior research and development experience, both from the academia and the industry. Combining my academic background and research experience, I am confident in my abilities to contribute in research and help the industry to take a step forward towards a better solution. I am eager to discuss my qualifications in more detail and to learn more about the opportunity. Please feel free to contact me to set up a time to chat. I look forward to hearing from you. Thank you very much for your patience and consideration.

Llm prompt development engineer - abdul M.
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abdul M.

Vetted Llm prompt development developer in India (UTC-7)

I am a results-driven, innovation-focused professional with over 9 years of experience delivering transformative solutions in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and Intelligent Automation. I have consistently applied cutting-edge research and advanced technologies to solve complex business challenges across industries like recruitment, finance, healthcare, and IT operations. Recognized for building scalable, production-grade AI systems, I’ve been honored with accolades such as the “GenAI Rockstar” award and Best Performer of the Year (twice), reflecting both my technical depth and strategic impact. Primary Language: Python (AI/ML development, agent orchestration, NLP, computer vision) Automation Scripting: PowerShell (enterprise-grade IT automation, VDI migration, system operations) Agent-based Systems: Multi-agent workflows, dynamic planning, and orchestration using LangChain, LangGraph, and CrewAI. LLMs & Prompt Engineering: Prompt chaining, memory handling, and instruction-tuned interfaces using GPT-4, GPT-4o, LLaMA, Claude, etc. Retrieval-Augmented Generation (RAG): Integrated solutions using vector databases (e.g., Qdrant) for intelligent retrieval and inference. Predictive Modeling & Sentiment Analysis: Built models for forecasting, behavioral prediction, and user profiling.

Llm prompt development expert - Rishabh J.
Rishabh J.

Llm prompt development developer in India (UTC+6)

I am a **Data Scientist** having **10 years** of experience in **Data Science and Backend Developement**. I specialize in **Python, Machine Learning, LLMs, and Gen AI**, using **prompt engineering** to make models more accurate and relevant. I have worked on **Large Language Models like GPT-4**, enhancing text generation **accuracy by 30%** using **Generative AI techniques.** I have utilized **prompt engineering** and **RLHF** techniques to enhance **model accuracy and response quality by 25%**, and improved data readiness for **training by 30%** while reducing **processing time by 20%.** With over **10 years** of experience, I've helped create effective solutions that drive better results.

Llm prompt development expert - Rajan G.
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Rajan G.

Vetted Llm prompt development developer in India (UTC+6)

I am an experienced ML Engineer and Data Scientist with a strong background in Python development. Currently, as Managing Director at Groove Innovations, I developed an AI-driven search system that improved retrieval accuracy by 35%. Previously, at Phenom, I engineered a real-time fraud detection system that addressed 80-90% of fraudulent cases. My expertise includes NLP, machine learning pipelines, and cloud technologies, focusing on delivering impactful solutions in data-driven environments.

Llm prompt development coder - Yash C.
Yash C.

Llm prompt development developer in India (UTC-7)

I’m Yash Chavan, a results-driven AI/ML and Full Stack Engineer with 4+ years of hands-on experience building smart, scalable, and production-ready solutions. I specialize in delivering high-impact applications by blending cutting-edge AI/ML techniques with robust full stack development. From machine learning pipelines and computer vision systems to cloud-native web applications, I bring deep technical expertise and a product-oriented mindset to every project. #### 🔧 Core Skills: * **AI/ML & Deep Learning** – Model development, fine-tuning, deployment, MLOps * **Computer Vision** – YOLOv8, OpenCV, object detection, image classification * **Large Language Models** – LLM fine-tuning, summarization, chat interfaces * **Full Stack Development** – React, TypeScript, NestJS, PostgreSQL, Prisma * **DevOps & Cloud** – AWS (CDK, Lambda, S3, Cognito), Docker, MinIO, EC2 * **API Design** – RESTful APIs, FastAPI, GraphQL (basic exposure) #### 💡 Why Work With Me: * I bring a rare combination of **AI depth** and **full stack engineering**. * I work **independently**, communicate clearly, and deliver **on time**. * I understand both **tech and business goals**, ensuring alignment. * I’ve worked with **remote clients across the globe**, adapting seamlessly to distributed teams. * I’m always learning — staying ahead of the curve in AI and software trends. If you're looking for someone who can **own the technical side end-to-end**, solve complex problems, and ship fast — let's talk.

Llm prompt development coder - Suman D.
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Suman D.

Vetted Llm prompt development developer in India (UTC+6)

I am a Senior Data Scientist with over 9 years of experience in leveraging advanced AI, machine learning, and deep learning techniques to solve complex business challenges across industries like banking, retail, manufacturing, and technology. My expertise lies in designing scalable solutions that drive measurable outcomes, optimize processes, and empower organizations to make data-driven decisions. Currently, at JPMorgan Chase & Co., I lead initiatives that have delivered significant business value, including developing an unsupervised payment risk detection model that mitigated fraud risks and saved $24M globally. I also spearheaded the creation of a Retrieval-Augmented Generation (RAG) framework to enhance enterprise-wide information retrieval and knowledge generation. My work on standardizing LLM evaluation frameworks has improved cross-functional collaboration and ensured consistency in model performance metrics. Previously, at Walmart Global Tech India, I contributed to sustainability goals by building multi-model machine learning systems for EV charging station recommendations while driving store revenue growth. I also implemented transformer-based models for product categorization and price standardization. At Tiger Analytics, I developed real-time predictive maintenance systems that saved $50M annually for a global steel manufacturer and improved inventory forecasting accuracy by over 20%. With a strong foundation in programming languages like Python and SQL, libraries such as PyTorch and LangChain, and expertise in cloud platforms like AWS SageMaker and GCP BigQuery, I specialize in cutting-edge technologies like Large Language Models (LLMs), Natural Language Processing (NLP), anomaly detection, and MLOps. My academic projects further showcase my ability to innovate in areas like federated learning for DocVQA, RAG frameworks for better retrieval-generation pipelines, and prompt compression for optimized token utilization. Beyond my professional achievements, I am dedicated to mentoring aspiring AI professionals through Scaler Academy and sharing insights as a tech blogger at KnowledgeHut. My mission is to harness the power of AI to create meaningful impact while fostering growth in the AI community.

Llm prompt development coder - hemant S.
hemant S.

Llm prompt development developer in India (UTC+6)

Hi!!! Hemant here Working at Oodles Technologies AI as a Senior Java Developer. Skill Set: 1. Backend Development: > Core Java (Till Java 9), Python(secondary) > Spring Boot (Data, MVC, Security), DRF > DataBase (MongoDB, MySql etc.) > AWS Services(Lambda, EC2, S3, CronJobs etc.) > ElasticSearch, OpenSearch, Postman, API Integration, Searchkit. > AI: OpenAI, Groq, ChatGPT, Prompt Engineering 2. FrontEnd Development: > HTML, CSS, and JavaScript > React.js(Basics), Angular (basic) 3. Others: > PowerBI Area of interest: Backend development.

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Why clients hire Llm prompt development developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire a Llm prompt development developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire a Llm prompt development developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Llm prompt development developers can help keep your website up-to-date.

How do I hire Llm prompt development developers?

To hire a Llm prompt development developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Llm prompt development developers effectively and efficiently. Hire full-time Llm prompt development developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Llm prompt development developers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Llm prompt development developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Llm prompt development developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Llm prompt development developers?

There are two types of platforms you can hire Llm prompt development developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Llm prompt development developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Llm prompt development developers, consider niche platforms like Arc that naturally attract and carefully vet their Llm prompt development developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Llm prompt development developers.

Some factors to consider when you hire Llm prompt development developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Llm prompt development developers for hire.

How do I write a Llm prompt development developer job description?

Writing a good Llm prompt development developer job description is crucial in helping you hire Llm prompt development developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Llm prompt development developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Llm prompt development developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Llm prompt development developer?

The top five technical skills Llm prompt development developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Llm prompt development developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Llm prompt development developers to keep up with evolving technology and requirements.

What kinds of Llm prompt development developers are available for hire through Arc?

You can find a variety of Llm prompt development developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Llm prompt development developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Llm prompt development developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Llm prompt development developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Llm prompt development developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Llm prompt development developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Llm prompt development developers.

Every Llm prompt development developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Llm prompt development developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a Llm prompt development developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Llm prompt development developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Llm prompt development developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Llm prompt development developers, you can rest assured that all remote Llm prompt development developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Llm prompt development developers on Arc?

Arc pre-screens all of our remote Llm prompt development developers before we present them to you. As such, all the remote Llm prompt development developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Llm prompt development developer in 72 hours, or find a full-time Llm prompt development developer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Llm prompt development developers.

How much does a freelance Llm prompt development developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Llm prompt development developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Llm prompt development developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Llm prompt development developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Llm prompt development developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Llm prompt development developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Llm prompt development developers, check out our FAQs page.

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