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Top Multimodal rag developers and experts available to hire:

Sarah A., Multimodal rag developer
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Sarah A.

Vetted Multimodal rag developer in Brazil (UTC-3)

With over 15 years of professional experience, I have a strong data science background and deep expertise in Artificial Intelligence (AI) as a Senior Applied Data Science Researcher, holding both a master’s and a doctorate in AI. At Dell Technologies, I currently lead applied research initiatives in Multimodal Large Language Models (MLLMs), on the intersection of Generative AI (GenAI), Computer Vision, and Natural Language Processing (NLP). My work spans the full AI lifecycle, from dataset creation, model fine-tuning, deploy to API service integration and interface visualization, delivering state-of-the-art, end-to-end AI solutions. Prior to my role at Dell, since 2008, I have been applying machine learning and AI algorithms in applications across various industries.

Matthew L., Multimodal rag developer
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Matthew L.

Vetted Multimodal rag developer in the United States (UTC-6)

I am a tech professional with expertise in backend, frontend, mobile development, databases, cloud platforms, and various programming languages. I founded a successful retail software company and have experience in AI integration and mobile app development. Additionally, I have a strong background in volunteer work with the Civil Air Patrol and hold certifications in AWS and private piloting.

Ross R., Multimodal rag developer
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Ross R.

Vetted Multimodal rag developer in the United States (UTC-6)

I'm a freelance software developer. I work with cutting-edge software tools and frameworks to build apps that are fast, maintainable and scale like crazy. Lately, I've been building the web3 platform, Charisma.

Justin L., Multimodal rag developer
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Justin L.

Vetted Multimodal rag developer in the United States (UTC-4)

I grew the most at Contactually. Taking personal responsibility for the entire iOS app taught me important lessons about carrying out a vision, working diplomatically with people who might not support that vision, and where to draw boundaries. My biggest achievement was a project for Walmart, which was a client of Accenture. My contribution led to a $34 million increase in their gross annual revenue. My strengths are efficiency, caring for and protecting development teams. * Individual contributor to mobile and backend projects. * Small team leader focused on mentoring individuals on technical details and fostering collegial teamwork.

Chandralekha P., Multimodal rag developer
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Chandralekha P.

Vetted Multimodal rag developer in Canada (UTC-4)

I am a Full Stack Developer with expertise in Python, ReactJS, Django, and AWS. I have optimized websites, integrated CI/CD pipelines, and developed AI-driven solutions for fleet management and client interaction.

Ashwin R., Multimodal rag developer
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Ashwin R.

Vetted Multimodal rag developer in the United Kingdom

15+ years’ experience as Azure Data Architect, SQL Server Consultant, Data Engineer, & Database Developer across a wide range of sectors including Startups, Financial Services & Investment Banking, Healthcare, Insurance and Retail.

Daniel S., Multimodal rag developer
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Daniel S.

Vetted Multimodal rag developer in Mexico (UTC-7)

Software Engineer with 12+ years of experience in software development, cloud infrastructure, and articial intelligence. Proven track record in building scalable applications using Django, React, and cloud-native architectures on Azure and AWS. Specialized in machine learning deployment, LLMs integration, and automation of cloud-based processes. Successfully improved business operations by optimizing workows and implementing AI-driven solutions. Adept at managing high-performance systems, API integrations, and secure cloud deployments

Gil R., Multimodal rag developer
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Gil R.

Vetted Multimodal rag developer in Mexico (UTC-7)

Data Scientist & AI Engineer with over 4 years of expertise in Machine Learning, NLP, and Large Language Models (LLMs). Demonstrated proficiency in designing and deploying scalable data solutions and fine-tuning transformer models. Experienced in optimizing performance through technologies such as FastAPI and Docker, while leveraging Google Cloud and Azure to enhance operational efficiency. Experienced in developing systems that drive business value by improving decision-making, and data processing capabilities.

JYOTI R., Multimodal rag developer
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JYOTI R.

Vetted Multimodal rag developer in Mexico (UTC-7)

Detail-oriented Full-stack Developer with 8+ years of experience in software development, specializing in Python programming, React, automation, web application development, and API integration. Proficient in Python frameworks like Django, Flask, and FastAPI, with extensive experience in creating scalable microservices, RESTful APIs, and automation scripts. Skilled in database design and optimization, DevOps practices (CI/CD, Docker), and Agile methodologies. Adept at solving complex technical challenges, collaborating with cross-functional teams, and delivering high-quality solutions within deadlines.

Suman D., Multimodal rag developer
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Suman D.

Vetted Multimodal rag 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.

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Why clients hire Multimodal rag 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 Multimodal rag 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 Multimodal rag 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 Multimodal rag developers can help keep your website up-to-date.

How do I hire Multimodal rag developers?

To hire a Multimodal rag 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 Multimodal rag developers effectively and efficiently. Hire full-time Multimodal rag 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 Multimodal rag 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 Multimodal rag 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 Multimodal rag developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Multimodal rag developers?

There are two types of platforms you can hire Multimodal rag 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 Multimodal rag 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 Multimodal rag developers, consider niche platforms like Arc that naturally attract and carefully vet their Multimodal rag developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Multimodal rag developers.

Some factors to consider when you hire Multimodal rag 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 Multimodal rag developers for hire.

How do I write a Multimodal rag developer job description?

Writing a good Multimodal rag developer job description is crucial in helping you hire Multimodal rag 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 Multimodal rag 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 Multimodal rag developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Multimodal rag developer?

The top five technical skills Multimodal rag 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 Multimodal rag 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 Multimodal rag developers to keep up with evolving technology and requirements.

What kinds of Multimodal rag developers are available for hire through Arc?

You can find a variety of Multimodal rag developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Multimodal rag developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Multimodal rag 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 Multimodal rag 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 Multimodal rag developers?

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

Every Multimodal rag 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 Multimodal rag 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 Multimodal rag developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Multimodal rag 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 Multimodal rag 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 Multimodal rag developers, you can rest assured that all remote Multimodal rag 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 Multimodal rag developers on Arc?

Arc pre-screens all of our remote Multimodal rag developers before we present them to you. As such, all the remote Multimodal rag 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 Multimodal rag developer in 72 hours, or find a full-time Multimodal rag 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 Multimodal rag developers.

How much does a freelance Multimodal rag developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Multimodal rag developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Multimodal rag 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 Multimodal rag 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 Multimodal rag 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 Multimodal rag 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 Multimodal rag developers, check out our FAQs page.

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