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Vetted Large Language Models developer in the United States (UTC-4)
A humble **AI / ML engineer and scientist** with 6+ years of success in design, development, and successful launch of **client-focused** solutions on **cloud** platforms, including experience for a Fortune 500 company **Oracle**, with a proven track record of delivering high-performance Objective Key Results (OKR) and **Artificial Intelligence patents**. PhD reseracher with experience in the execution of development roadmap, securing **cross-functional** stakeholder **consensus**, while consistently driving revenue growth as well as time and cost savings. CAREER HIGHLIGHTS * Awarded for a high-speed delivery (2 years delivery with >75% performance on OKR metrics) of a scalable AI application on cloud * Enhanced online deep learning under imperfect time series data for simulated & real-life applications * Created intent focused follow-up questions for **RAG** pipeline of LLM based conversational product * Conducted **prompt engineering** and **fine-tuning** to improve output of a PyTorch based **large language model**
Oracle
Vetted Large Language Models developer in the United States (UTC-5)
I am an AI Software Engineer with over 10 years of experience in developing cutting-edge AI solutions for various industries. I’m proficient in Data Science, ML(Machine Learning), DL(Deep Learning), NLP(Natural Language Processing), CV(Computer Vision) and GenAI(Generative AI).
Scale AI
Vetted Large Language Models developer in the United States (UTC-7)
GitHub: https://github.com/waynel LinkedIn: https://www.linkedin.com/in/wwwayneliu/ Note: For the past 12 months, I've been heavily focused on AI Engineering and AI-augmented Software Engineering - building features that use large language models (data entry automation, retrieval augmented generation and text-to-SQL chatbots) and experimenting with AI tools to improve my engineering workflow. I've been working as a software engineer for 10+ years that has been mainly focused on web application development and some systems development, in NYC and Boston. Have had full-time roles at 4 startups and 1 corporation. I come from a strong computer science background, having graduated from Carnegie Mellon University. My experience lies both in computer science fundamentals and shipping projects end-to-end as a full stack generalist - frontend, backend, data, and SRE. Having worked at startups, I've learned to be versatile, doing some minor product and project management as well. In addition, I've launched 3 full stack side projects. With 5 years of experience mentoring other engineers, I've conducted 50+ technical interviews and have been interviewed 20+ times. I enjoy helping others - it's fulfilling to help others level up while also helping my own continuous learning! Some potential areas I can help with: - brushing up on computer science fundamentals - preparing for software engineering interviews (data structures and algorithms coding problems, system design, behavioral) - pair programming on a project, recommending best practices for frontend, backend, data, and SRE - code review - debugging - testing - resume review - career strategy consultation
Vetted Large Language Models developer in the United States (UTC-6)
I am an AI Engineer with 8+ years of experience in full-stack development, CI/CD, Containerization (docker) and Orchestration (k8n), Building Deep learning models, Fine-tuning LLM models, and building AI-driven agentic systems (AI apps and automation).
Vetted Large Language Models developer in the United States (UTC-5)
I am [Gopal Chitalia](https://scholar.google.com/citations?user=QncMQEIAAAAJ&hl=en), a graduate student at Purdue University and working with Prof. [Jan Anders Mansson](https://www.purdue.edu/engineering/mdlab/mansson/) on fault detection in motors using deep learning in a joint project with Wistron. Additionally, I'm working with Prof. [Junjie Qin](https://engineering.purdue.edu/people/junjie.qin.1) on transfer learning application using LLMs for optimizing power networks. I have had the privilege of working at [Center for Building Science Lab](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcbs.iiit.ac.in%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UCjKsb98EbNq8jGvbf%2F5TEETyHMI1gnMx20lLBeQmog%3D&reserved=0) under the supervision of Prof. [Vishal Garg](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.co.in%2Fcitations%3Fuser%3DvyH26MIAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=pDBa4RZtT0eg4rN%2FdvVtv3q%2F6goK1EEVT6%2F6UeGPcw4%3D&reserved=0). I have previously been a Research Assistant/Visiting ML Scholar at the [Smart Grid Research Unit](https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.sgru.eng.chula.ac.th%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UAp49aqIF2oxM3WIO5IS68gTyMLeYsKR5ENaosJMhvk%3D&reserved=0) (SGRU) under [Manisa Pipattanasomporn](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.com.sg%2Fcitations%3Fuser%3D4W2KIQkAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Pey86yYp3KpRPj9d9a97nzxLxQGMkQrN%2BFASqUqyheQ%3D&reserved=0) (Adjunct Faculty, Virginia Tech). In addition to my academic pursuits, I have also contributed to the industry in the domains of Energy Efficiency, IoT, and Machine Learning. I have worked at [ClevAir](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclevair.io%2Fen%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nonCkudNp3cFUL2CNs6rMHm0HyQXSnh9lhoJ76s5xus%3D&reserved=0) (Norway) as a **Data Scientist** and Growthworks.ai (CA, USA) as an **ML Scientist/Energy Demand Expert**. My research work on predicting short/long-term energy prediction in office/residential buildings using machine learning is published in [Applied Energy](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fabs%2Fpii%2FS0306261920309223%3Fvia%253Dihub&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=V%2Bq5MVSeJ7deNpE%2F%2FEP1PYrsrEVWEH%2FwNK1yAG4CPlM%3D&reserved=0). The results improve the state-of-the-art results by 20-40%. I am also an active reviewer at Applied Energy. Furthermore, I have collaborated on a building-level dataset paper which has been published in [Nature Scientific Data](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nature.com%2Fsdata%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=rtv6fVxtvuYsk5NAwwR8ujauC1AfX9cs32w4evIj%2BZU%3D&reserved=0). Previously, I have also worked with Prof. [Jyotirmay Mathur](https://scholar.google.co.in/citations?user=AmGPPL4AAAAJ&hl=en) at the [Centre for Energy & Environment](http://www.mnit.ac.in/dept_cree/index.php), MNIT Jaipur on Predicting time ahead heating/cooling energy demand HVAC systems. Moreover, as an independent research student, I also collaborated with Prof. [Praveen Paruchuri](https://scholar.google.com/citations?user=ILUqgKEAAAAJ&hl=en) of [Machine Learning Lab](https://mll.iiit.ac.in/), IIIT-H for Reinforcement Learning (RL) applications for controlling HVAC systems.
Vetted Large Language Models developer in the United States (UTC-5)
Rob Zimmerman is a versatile software developer with a knack for swiftly learning and adapting to new challenges. His expertise rests in backend development for both web applications (Python) and traditional application development (C++). In addition, he's well versed in cloud platforms such as AWS, and Google Cloud. Rob's entrepreneurial spirit shines through in projects such as Stackzilla, a Python ORM for managing application infrastructure, and 3 Up Golf, the world's first golf yardage book marketplace. His collaborative approach and dedication to delivering results make him a valuable asset to any team. View his full resume and background at [https://zimventures.com/resume/](https://zimventures.com/resume/) He also loathes talking about himself in the 3rd person and enjoys keeping things light.
Vetted Large Language Models developer in the United States (UTC-5)
Quality-first developer and consultant with experience across the SDLC. I have delivered data visualization apps, automated test platforms and SaaS integration suites using React, Node, Spring Boot, Selenium and a wide gamut of other tools. I have also managed development and operations teams as a consultant. For my next role, I want to build novel products with beautiful UX in a tight-knit engineering team.
Vetted Large Language Models developer in the United States (UTC-7)
A senior software engineer and developer. Experience with Java, C#, C++, and Python. Interested in AI/ML, backend development, APIs.
Vetted Large Language Models developer in Canada (UTC-8)
Senior Full Stack Developer with 10+ years of experience in scalable applications, specializing in cloud-based infrastructures. Skilled in delivering high-quality features with TypeScript, JavaScript, React, Next.js, and Node.js. Proven expertise in designing and implementing RESTful APIs and microservices, and mentoring engineering teams to foster best practices and technical excellence.
Vetted Large Language Models developer in the United Kingdom
With 10 years of seasoned expertise in fullstack development, 7 years focused on machine learning, and a strong foundation in DevOps, I offer a comprehensive skill set. From architecting sophisticated applications to orchestrating CI/CD pipelines and managing AWS infrastructure, I consistently deliver innovative solutions across the software development lifecycle.
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FAQs
Why hire a Large Language Models 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 Large Language Models 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 Large Language Models developers can help keep your website up-to-date.
How do I hire Large Language Models developers?
To hire a Large Language Models 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 Large Language Models developers effectively and efficiently. Hire full-time Large Language Models 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 Large Language Models 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 Large Language Models 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 Large Language Models developers for your company, and let Arc handle the logistics.
Where do I hire the best remote Large Language Models developers?
There are two types of platforms you can hire Large Language Models 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 Large Language Models 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 Large Language Models developers, consider niche platforms like Arc that naturally attract and carefully vet their Large Language Models developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Large Language Models developers.
Some factors to consider when you hire Large Language Models 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 Large Language Models developers for hire.
How do I write a Large Language Models developer job description?
Writing a good Large Language Models developer job description is crucial in helping you hire Large Language Models 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 Large Language Models 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 Large Language Models developers, read our Software Engineer Job Description Guide & Templates.
What skills should I look for in a Large Language Models developer?
The top five technical skills Large Language Models developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software 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 Large Language Models 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 Large Language Models developers to keep up with evolving technology and requirements.
What kinds of Large Language Models developers are available for hire through Arc?
You can find a variety of Large Language Models developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Large Language Models developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Large Language Models 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 software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Large Language Models 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 Large Language Models developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Large Language Models developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Large Language Models developers.
Every Large Language Models 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 Large Language Models 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 Large Language Models developer's skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Large Language Models 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 Large Language Models 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 Large Language Models developers, you can rest assured that all remote Large Language Models 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 Large Language Models developers on Arc?
Arc pre-screens all of our remote Large Language Models developers before we present them to you. As such, all the remote Large Language Models 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 Large Language Models developer in 72 hours, or find a full-time Large Language Models 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 Large Language Models developers.
How much does a freelance Large Language Models developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Large Language Models developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Large Language Models 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 Large Language Models 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 Large Language Models developer?
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software 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 Large Language Models 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 Large Language Models developers, check out our FAQs page.