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Vetted Rag solutions developer in India (UTC+6)
Meet Harsh, a dedicated member of the Applied AI Engineering team at Target, with a focus on implementing the genAI components using Vertex AI, OpenAI and open source models. This includes working extensively with Foundation Model APIs, Search and Conversation, Model Garden, and Vector Search. My role allows me the opportunity to leverage the latest and most advanced models and products from the Generative AI community. Harsh was engaged in building a MLOps platform from scratch by building abstraction layers with scalable APIs. Proficient in Python, AWS, GCP, Spring Boot, Java, Scala, Kafka, PyTorch, TensorFlow, Flask, FastAPI, React, and Docker, Harsh's expertise spans a wide range of technologies. He is a professional introvert who thrives on writing to learn and continually seeks new knowledge every day. Harsh's fascination with Data Science stems from his mathematical captivation and love for questioning existing processes and assumptions. He excels in developing novel methods and analytical algorithms, constantly striving for consistent improvement. His proficiency in Machine Learning encompasses various algorithms, including Decision Trees, Regression, Classification, Neural Networks, Ensemble methods, Kernel Methods, SVMs, Markov Decision Processes, Game Theory, and Bayesian Learning. Additionally, Harsh has a strong grasp of statistical techniques such as Regression Analysis, Time Series Forecasting, Hypothesis Testing, and A/B Testing. He is experienced in working with applications and databases like Tableau, GitHub, Power BI, Qlik, MySQL, PostgreSQL, Apache Spark, AWS Redshift, DynamoDB, Cassandra, and Hive. Harsh's multifaceted personality shines through in his work and social interactions. As a machine learning enthusiast and sociable individual, he excels in client-facing roles, actively engaging with stakeholders to understand their needs and provide effective solutions. His passion for crunching numbers and working with datasets, alongside creating compelling visualizations, enables him to reveal the stories hidden within the data. Harsh firmly believes in empathy and gratitude, fostering positive work environments and delivering outstanding results. He places great importance on clear communication and defining requirements meticulously to ensure the team achieves the desired outcomes. Outside of work, Harsh cherishes meeting new people, engaging in meaningful conversations, and building valuable relationships. This trait complements his networking skills, making him a valuable asset in both professional and social spheres.
Target
Vetted Rag solutions developer in India (UTC+6)
I am a Senior Software Engineer with expertise in Python, Machine Learning, and AI. I have developed AI chatbots, customer support agents, and predictive ML models for network operations. My educational background includes a Master's in Software Systems with a Data Analytics specialization.
Vetted Rag solutions developer in India (UTC-7)
I have worked as a Founding Engineer, AI solution consultant, Engineering Manager, and Software Developer. I led software development teams, built and optimized RAG pipelines AI chatbot and voice bot platforms. I managed a platform that collected petabytes of healthcare data from over 100 sources. I am a skilled backend developer and have built over 50 solutions, from simple MVPs to large, scalable systems.
Rag solutions developer in India (UTC+6)
I am a passionate Software Engineer specializing in Flutter development, backend engineering, and AI-driven solutions. With a B.Tech in Computer Science from Ahmedabad University, I have gained hands-on experience in mobile and web development, state management, and system architecture. At 6thLabs, I contributed to cutting-edge projects like traffic rule violation detection using YOLO models and AI-powered sales bots. My expertise spans across Flutter, Golang, Python, and AI technologies, enabling me to build scalable and efficient applications. Beyond development, I have led teams, mentored developers, and spoken at tech events like the Flutter Festival. Constantly seeking challenges, I thrive on innovation, problem-solving, and staying ahead in the ever-evolving tech landscape
Vetted Rag solutions developer in India (UTC+6)
Engineering Manager at Cisco with 10+ years in tech, leading compliance automation to streamline, secure, and scale compliance processes across teams. With a background in cloud security, DevOps, and risk management, I build products that enhance security postures, reduce compliance fatigue, and drive accuracy. I bring hands-on experience with AWS, Kubernetes, Docker, and CI/CD tooling, along with a focus on integrating AI in GRC. My work leverages machine learning to proactively address security risks, automate controls, and deliver real-time insights that support better decision-making in cloud environments. Passionate about pushing boundaries in compliance automation and cloud-native development, I strive to empower teams with next-gen tools that meet today's security and regulatory challenges.
Cisco
Vetted Rag solutions 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.
JP Morgan Chase
Vetted Rag solutions developer in India (UTC-7)
Experienced **AI/ML Lead Engineer with 12+ Years** of Innovation and Leadership I bring over a decade of experience in AI and machine learning, specializing in building impactful solutions using Generative AI and Large Language Models (LLMs). Currently, I lead a skilled team of AI engineers and developers, where we tackle complex challenges and create transformative applications. **Key Highlights:** AI-Powered Chatbot Development: Designed and deployed advanced chatbots using **Generative AI** and **LLMs**, including a comprehensive HRMS chatbot that streamlines operations and enhances employee engagement. Client-Focused POCs: Delivered successful proofs of concept (POCs) for notable clients like Dr. Reddy, Bay Alarm, and Main Court, showcasing innovative AI solutions tailored to each client’s needs. Open-Source AI on Cloud: Leveraged open-source models, deploying them on cloud platforms to build scalable, robust Generative AI applications. Technologies and Tools: With hands-on expertise in OCR, RAG pipelines, OpenAI, LLMs, and NLP, I enjoy pushing the boundaries of AI to deliver practical, high-impact solutions that drive business results. I’m passionate about exploring the latest advancements in AI and i am always open to connecting with professionals and companies aiming to transform their operations through intelligent, data-driven solutions.
Vetted Rag solutions developer in India (UTC+6)
AI Software Engineer specializing in LLM-powered automation, RAG, and Agentic AI solutions. Adept at team leadership, cross-functional collaboration, and AI model fine-tuning. Passionate about delivering high-impact AI-driven solutions, reducing processing times by up to 60% through automation. **Skills** Programming: Python, Node.js AI/ML: TensorFlow, Scikit-learn, OpenAI APIs, Anthropic, Gemini GenAI: Llama Index, LangChain, CrewAI, RAG Pipelines Cloud: AWS, GCP, Firebase, Azure Databases: MongoDB, PostgreSQL, Vector Stores, Pinecone DevOps: Docker, Git, CI/CD Leadership: Team Handling, Project Management, Collaboration
Vetted Rag solutions 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.
Vetted Rag solutions developer in India (UTC-7)
_AI Engineer and Machine Learning Scientist with 7+ years of experience designing, fine-tuning, and deploying_ _end-to-end ML and LLM systems in production. Skilled in LLM user analytics, RAG pipelines, prompt_ _engineering, and model observability. Deep expertise in NLP, multimodal learning (text + image), and generative_ _AI with a strong foundation in mathematics, statistics, and probabilistic modeling. Proficient in Hugging_ _Face, PyTorch, LangChain, and cloud-based MLOps. Passionate about building scalable AI products through_ _rigorous experimentation, algorithm optimization, and cross-functional collaboration._
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FAQs
Why hire a Rag solutions 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 Rag solutions 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 Rag solutions developers can help keep your website up-to-date.
How do I hire Rag solutions developers?
To hire a Rag solutions 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 Rag solutions developers effectively and efficiently. Hire full-time Rag solutions 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 Rag solutions 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 Rag solutions 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 Rag solutions developers for your company, and let Arc handle the logistics.
Where do I hire the best remote Rag solutions developers?
There are two types of platforms you can hire Rag solutions 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 Rag solutions 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 Rag solutions developers, consider niche platforms like Arc that naturally attract and carefully vet their Rag solutions developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Rag solutions developers.
Some factors to consider when you hire Rag solutions 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 Rag solutions developers for hire.
How do I write a Rag solutions developer job description?
Writing a good Rag solutions developer job description is crucial in helping you hire Rag solutions 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 Rag solutions 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 Rag solutions developers, read our Engineer Job Description Guide & Templates.
What skills should I look for in a Rag solutions developer?
The top five technical skills Rag solutions 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 Rag solutions 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 Rag solutions developers to keep up with evolving technology and requirements.
What kinds of Rag solutions developers are available for hire through Arc?
You can find a variety of Rag solutions developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Rag solutions developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Rag solutions 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 Rag solutions 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 Rag solutions developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Rag solutions developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Rag solutions developers.
Every Rag solutions 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 Rag solutions 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 Rag solutions developer's skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Rag solutions 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 Rag solutions 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 Rag solutions developers, you can rest assured that all remote Rag solutions 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 Rag solutions developers on Arc?
Arc pre-screens all of our remote Rag solutions developers before we present them to you. As such, all the remote Rag solutions 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 Rag solutions developer in 72 hours, or find a full-time Rag solutions 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 Rag solutions developers.
How much does a freelance Rag solutions developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Rag solutions developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Rag solutions 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 Rag solutions 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 Rag solutions 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 Rag solutions 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 Rag solutions developers, check out our FAQs page.