Hire the Top 2% of
Remote GPT-4 Developers

Krishna V.

Vetted GPT-4 developer in the United States (UTC-5)

• Experienced AI professional and researcher with extensive experience in implementing projects across Generative AI, Machine Learning, Agentic AI, Deep Learning, Computer Vision, Natural Language Processing, Predictive Analytics, and Conversational AI. • Currently working with Microsoft on designing and implementing solutions using LLM, AI Agents, MCP and driving ec2 advancements in NLP, Gen AI for the organization. • Designed and deployed scalable AI solutions using AWS Bedrock, Azure Foundry utilizing its managed service for deploying and running generative AI models, enabling faster and more efficient model deployment. • Developed and deployed scalable models leveraging LoRA and QLoRA for natural language processing tasks, improving accuracy and efficiency in real-world applications. • Managed and optimized large datasets within Google BigQuery, leveraging its distributed architecture to ensure fast and cost-effective data analysis for AI-driven applications. • Implemented Guardrails for AI models to ensure compliance with privacy regulations, including automatic PII redaction, to protect sensitive information during model inference. • Utilized LangGraph to visualize agent behavior and logic flow, ensuring transparency and effective management of decision trees for complex LLM-based agents. • Developed and deployed Generative AI models using TensorFlow, PyTorch, and Keras, creating high-quality text, image, and audio generation systems for various applications. • Built and maintained Python-based AI services using LangChain and CrewAI, implementing RAG-based retrieval and Agentic AI workflows to enhance data retrieval and decision-making processes. • Integrated OpenAI, Bard, Claude, and Azure OpenAI APIs, optimizing model performance by fine-tuning temperature, top-p, and max tokens, reducing hallucinations through embedding-based retrieval

Asher B.

Vetted GPT-4 developer in the United States (UTC-8)

Strong technology leader with hands-on experience scaling ventures and scaling engineering functions in large fortune companies. I have a strong background in software design, backend programming, distirbuted systems, machine learning, model-training, AI Agent development, big data engineering, cloud computing, and I also pioneered test-driven DevOps.

Nathan O.

Vetted GPT-4 developer in the United States (UTC-4)

I’m a veteran software engineer with two decades of professional experience. I approach each project with a commitment to delivering clean, maintainable code by combining deep technical expertise with a passion for solving complex problems. I am actively embracing AI and agentic coding workflows, leveraging these tools to accelerate development while applying my extensive experience to ensure quality, reliability, and sound architectural decisions.

Prathyush L.

Vetted GPT-4 developer in the United States (UTC-4)

AI Engineer with over 4 years of experience in building Generative AI, RAG, and machine learning solutions for business purposes Extensive knowledge in designing production-level LLM solutions, such as retrieval pipelines, vector databases, and prompt engineering High level of expertise with LLM models (GPT, Llama), NLP, and deep learning approaches Hands-on experience building agentic AI workflows using LangChain and LangGraph Excellent experience in creating full cycle AI solutions, from data processing and feature engineering to deployment and monitoring of models Experience in creating agentic AI workflows by leveraging LangChain and LangGraph frameworks High-level expertise in developing scalable APIs and microservices by using FastAPI and Flask Experienced in implementing MLOps pipelines, including model versioning, CI/CD, monitoring, and automated retraining Knowledge in creating secure, scalable, and compliance-focused AI systems with robust governance and data privacy controls Experience in developing cloud-native AI solutions on AWS, Azure, and GCP Proven ability to improve model performance, reduce latency, and optimize cost in production environments

Vincent Y.

Vetted GPT-4 developer in the United States (UTC-7)

AI Engineer with 5+ years building and deploying production LLM and RAG solutions across Azure and AWS. Skilled in Python, PyTorch, HuggingFace, and vector search, with hands-on experience designing prompt pipelines and agentic AI workflows to automate complex tasks. Proven track record improving model accuracy and reducing latency through optimized data and training pipelines.

Danny T.

Vetted GPT-4 developer in the United States (UTC-4)

Customer-obsessed and detail-oriented data engineer with 20+ years of IT and technology operations experience. I have worn multiple hats spanning IT roles from product owner and engineer to solution architect and delivery manager. More recently, as a freelance data and integration consultant I have focused on high-leverage platforms such as Snowflake, Azure, AWS, Salesforce as a means of rapidly delivering fit-to-purpose business solutions and insights. I excel at working directly with business users showing them the art of the possible when it comes to data.

Jacob B.

Vetted GPT-4 developer in the United States (UTC-7)

Highly motivated Software Engineer with a Master's degree in Electrical and Computer Engineering and proven experience in software development, systems integration, and automation. Seeking a challenging role focused on leveraging my Python, Azure, and AI/ML skills to contribute to innovative solutions in the AI/ML or Cybersecurity domain.

Steve P.

Vetted GPT-4 developer in the United States (UTC-7)

Hi there! **I'm Steve, an international award-winning software developer** and **creative problem-solver.** As someone who has been **programming for 16 years**, I have extensive startup and freelance experience which I am excited to leverage to make great things happen -- _fast_. I am built to rapidly craft high-quality, **user-centric software that is beautiful** inside and out. I've done a ton of **Python** (15 years), **JavaScript** (7 years), and concurrent **Go** programming (14 years) on the backend, plus many years of **React** (7 years) and **Svelte** (5 years) on the frontend. Lately I've been creating **RAG-enabled AI chat bots** that answer questions about an arbitrary data set (e.g., company documents or instructional videos). In my personal time I've been learning Kotlin Multiplatform and Arduino, and writing a compiler in RISC-V assembly. Thanks to LLMs -- specifically Claude 4, o3, and GPT-4o before that -- my programming productivity has approximately doubled, meaning **I get $300 worth of programming done per hour, at the highest quality**; I do in 1 hour what mid-level devs need 5+ hours to do, _and_ their code is buggier. Additionally, I am accustomed to playing the role of startup CTO, and I'm looking to do more work as a fractional CTO. This is especially valuable for projects that need software built _and_ **need help clarifying** which approaches, technologies, and services should be used to solve a problem in the most efficient way. In 2022 I was brought into a project after the founder read about me in a book. Together with her team, **the software I designed and led the development of has won many international innovation awards** -- so many that this founder was nominated for Person of the Year in 2023, in her home country of Switzerland. I was **recently vetted** by Arc and **I completed their "30-minute" programming exercise in 4 minutes**. My solution was so simple that the interviewer had to triple-check that it was correct. (It was.) I am not usually available, but I am today. _(Note: For these first 2 weeks of July 2025, I am reducing my rate to $100/hour. After that, it will go back up to $150.)_ **Let's do this!**

Glen R.

Vetted GPT-4 developer in Canada (UTC-4)

Senior AI Engineer focused on building production-grade systems using LLMs, agent workflows, and real-world automation. Most of my recent work involves designing and implementing agent-based systems where models like Claude are used as the reasoning layer across structured workflows. This includes multi-step automation, API integrations, data pipelines, and systems that need to run reliably without constant human intervention. I tend to focus less on prototypes and more on making things actually work in production. That means thinking through failure modes, edge cases, retries, and observability upfront, so systems don’t break the moment they’re exposed to real-world usage. A lot of the value is in how the pieces are structured and how they behave over time, not just getting a single step working. I’ve built systems that run on schedules with no human in the loop, as well as multi-agent setups where coordination, state management, and tool use need to be handled carefully to avoid cascading failures. I’m comfortable working from a defined spec, but I also step back when needed to make sure the underlying structure makes sense before committing to build. My background includes leading technical development across games, VR, and interactive systems, which built a strong foundation in performance, architecture, and complex system design. That experience carries directly into how I approach AI systems today - especially when it comes to reliability and scalability. Earlier in my career, I worked on projects for brands like Disney, Sony, MTV, and Ford, delivering interactive and real-time systems at a high level of quality. I now bring that same level of discipline and attention to detail into AI and automation work. I prefer working on systems where the goal is clear, the work is meaningful, and the focus is on building something that holds up over time.

amir N.

Vetted GPT-4 developer in Canada (UTC-3)

I'm a Senior Full-Stack & AI Engineer with 10+ years of experience using technologies such as React, Node.js, and LLM frameworks including GPT-4, LangChain, and RAG pipelines. I engineered an AI candidate evaluation system that cut recruiter screening time by ~50%, and built a headless commerce platform that eliminated ~$800/month in third-party fees while deploying a voice AI agent handling 80+ calls per week autonomously. I've delivered production systems for clients across retail, hiring tech, fintech, and hospitality — from 500K+ monthly visitor e-commerce platforms to cross-platform mobile apps. I continuously push into emerging AI tooling to ship results-driven solutions from day one.