AI Full-Stack Engineers for U.S. team projects -- 3

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Java, Python, .NET, Golang, NoSQL Couch & Mongo, Node.js, Frontend Development, Vue.js, AI Development and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@DeveloperStation

Hi there, We’ve built several AI-driven products, including a fully-fledged AI product that integrated with multiple LLMs and used advanced features like semantic search and document summarization. We also developed a Chrome extension that allowed users to extract data from LinkedIn and use it for training LLMs. With 15 years of experience, I’ve worked extensively with Node.js, Python, and PHP, and I’ve led multiple startups as a co-founder. I’m equally proficient in modern front-end frameworks like React and Vue, and I’ve worked with various databases such as MySQL, PostgreSQL, and MongoDB. Let’s schedule a 10-minute introductory call to discuss your project in more detail and see if I’m the right fit for your needs. I look forward to hearing from you. Best, Adil

@kamran2012

This looks like a great fit, I will take ownership of full-stack features — backend services in Node.js and Python, React frontends, and AI/GenAI integrations including RAG pipelines with LangChain and vector databases. For LLM-powered features, I will structure retrieval layers with chunking strategies tuned to your data type — this significantly improves response accuracy over default embeddings. Questions: 1) Which cloud platform do most projects run on — AWS, Azure, or GCP? 2) What is the expected weekly hour commitment and U.S. time zone overlap? Looking forward to discussing further. Best regards, Kamran

@tkach11

With over 5 years of experience and a skill set perfectly aligned with your project, I am confident that I can contribute significantly to your ongoing and upcoming development projects. My proficiency in backend languages, including Node.js, Python, and .NET is robust, and my expertise extends to building RESTful APIs and working with distributed systems - key competencies for the task at hand. In addition to my backend skills, my familiarity with modern frontend frameworks like React, Vue, and Angular makes me versatile in developing across the entire stack. Alongside these technical proficiencies, I bring an ability to write clean, maintainable code that aligns well with the project's requirement for ownership of features end-to-end and thorough documentation. In terms of communication, working remotely doesn't hinder my clarity. Over the years, I have become adept at working independently yet effectively collaborating with remote teams. My adaptability does not stop there - I am also familiar with multiple databases like PostgreSQL and MongoDB along with cloud platforms such as AWS, Azure and GCP. These skills would greatly ease integration within your existing infrastructure should it require a blend of distinct environments. Choose me for this project - from design to implementation, I pledge to deliver quality solutions within agreed timelines.

@CodeSolution

Hello, I am senior software developer with 15+ years of experience. My tech stack would be vue.js ,react .NET, java

@vishal1145

Your AI-enabled data platform will fail under load if you're planning to run LLM inference synchronously without implementing a queue system and response streaming. I've seen three startups burn through their runway because they didn't architect for token rate limits and API timeouts upfront. Before mapping out the technical approach, I need clarity on two things: What's your expected concurrent user load for the GenAI features, and are you planning to use OpenAI's API or self-hosted models? The infrastructure cost difference between 100 and 10K users is roughly 40x if you're not caching embeddings properly. Here's the architectural approach: - NODE.JS + PYTHON: Build async microservices where Node handles real-time API requests and Python processes heavy AI workloads through Celery queues, preventing frontend timeouts during LLM calls. - VUE.JS + WEBSOCKETS: Implement streaming UI components that display AI responses token-by-token instead of waiting for full completion, reducing perceived latency by 70%. - MONGODB + VECTOR DB: Design a hybrid storage layer using MongoDB for transactional data and Pinecone/Weaviate for semantic search, with proper indexing to handle retrieval in under 100ms. - LANGCHAIN + OPENAI: Set up RAG pipelines with document chunking, embedding caching, and fallback logic to prevent API failures from breaking user workflows. - AWS LAMBDA + SQS: Deploy event-driven architecture that auto-scales AI processing jobs without provisioning EC2 instances, cutting infrastructure costs by 60% during off-peak hours. I've built similar GenAI platforms for two SaaS companies that scaled from prototype to 25K users without rewriting core architecture. Let's schedule a 15-minute technical call to discuss edge cases around rate limiting and cost optimization before you commit to a build approach.

@TheElitePro

Hi, 1. I understand you’re onboarding full-stack engineers for backend, frontend, and AI-driven systems, with emphasis on scalable APIs, clean architecture, and ownership of features end-to-end. 2. My experience spans Python, Node.js, AWS, Azure, GCP, with strong focus on building reliable, production-ready systems. I’ve worked on API development, data pipelines, and real-time integrations across distributed environments. 3. Key experience: a) Backend development in Python (FastAPI/Flask) for scalable APIs b) Building data pipelines and real-time processing systems c) Video analytics using Nvidia Deepstream SDK 4. Tech stack: a) Backend: Python (primary), familiar with Node.js concepts b) Databases: PostgreSQL, MongoDB, Cassandra c) Tools: Git, REST APIs, Docker, Linux environments d) AI/GenAI: API integrations, workflow orchestration 5. Approach: a) Write clean, maintainable, testable code b) Design APIs with clear contracts and scalability c) Ensure reliable performance and structured logging d) Communicate proactively in remote setups 6. Available for contract work with overlap in U.S. hours. 7. I bring a systems-thinking mindset with practical delivery focus, suitable for both backend-heavy and AI-integrated projects. 8. I am a preferred freelancer and have 5 star rating with track record of delivering all the project successfully. All this has resulted into repeat customers. Let's discuss a fit for your upcoming projects. Regards, Vishal

@offshore9006

Hi there, We are a team of experienced full-stack engineers with strong expertise across Node.js, Python, .NET, and Go, delivering scalable, production-grade applications for global clients. Our team has built robust APIs, microservices architectures, and modern frontend applications using React and Vue, with a focus on performance, security, and maintainability. We have hands-on experience with PostgreSQL, MongoDB, and cloud platforms (AWS, Azure), along with CI/CD, Docker, and DevOps best practices. Additionally, we’ve implemented AI-driven solutions, including LLM integrations, semantic search, and data pipelines using modern GenAI frameworks. We take full ownership of features end-to-end—from architecture to deployment—ensuring clean code, clear documentation, and consistent communication in remote environments aligned with U.S. time zones. We have experience in developing enterprise applications in Fintech, Healthtech, Corporate governance, etc. Availability: 40+ hrs/week with flexible overlap. Happy to share portfolio, GitHub, and relevant project case studies. Best,

@joomextensions

Hi, I’m a full-stack developer with strong experience in Node.js, Python, and Flutter/React. I’ve built scalable APIs, web apps, and AI-powered workflows (LLM integrations, automation, REST services). Comfortable with PostgreSQL/MongoDB, AWS, and clean architecture. I can take ownership end-to-end and communicate effectively in remote teams. Available to start immediately with flexible hours overlapping U.S. time. Looking forward to contributing to your upcoming projects.

@devbaloni1983

Hi, ***** .Net expert***** I have more than 15 years of experience in the development As I am an expert, I can build it according to your requirements. Because I have a lot of experience in these fields, I can build your project as soon as possible. I offer excellent software quality work and provide the best support for your project. If you give me this job, I will do my best to finish your job by your timeline. If you want to see my past works, I can show you my past works right now. Ready to discuss this with you about the task now. Thank you for the reading.

@erdavinder2307

Hi, Your requirement for engineers who can own features end-to-end and contribute across backend, frontend, and AI systems aligns closely with how I work. I build scalable APIs and backend systems using Node.js/Python, along with clean, responsive frontends in React. I focus on maintainable architecture, proper separation of concerns, and production-ready code. I also have experience with AI/GenAI workflows, including: LLM integrations (OpenAI APIs) Retrieval-based systems (vector DB, semantic search) Automation pipelines and data processing My approach ensures: Clean, well-documented APIs Robust error handling and logging Scalable cloud deployment (AWS/Azure) I’m comfortable working independently, communicating clearly, and contributing to both short-term and long-term projects. Availability: 30–40 hrs/week with overlap in U.S. time zones. A few quick questions: What AI use cases are your current priority? Are projects mostly new builds or scaling existing systems? Preferred stack or flexible per project? Happy to start with a small task and build from there. Best regards, Davinder

@toriquldev123

Hello Dear! Greetings from Toriqul Global Solutions! We are pleased to introduce our company as a reliable and experienced provider of Web Design & Development services. Founded and led by Engineer Toriqul Islam, a B.Sc. graduate in Computer Science & Engineering from Rajshahi University of Engineering & Technology (RUET), our team brings over 10 years of industry experience. At Toriqul Global Solutions, we specialize in building modern, user-friendly, and high-performance websites that help businesses grow and stand out in the digital world. Our design approach focuses on simplicity, elegance, and functionality to ensure maximum user engagement. I have some question-- Which tech stack and project type should I prioritize first (e.g., Node.js API, AI/GenAI feature, or full-stack app), based on your current pipeline? Technologies We Use: Custom Websites Development Using ======>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB We would be honored to discuss your project requirements and help bring your ideas to life. Thank you for your time and consideration. Warm Regards, Toriqul Global Solutions

@poojatdsl

Dear Hiring Team, I am interested in collaborating on your upcoming software development projects. I bring strong full-stack experience across backend, frontend, and AI-enabled systems, and I’m confident in delivering scalable, high-quality solutions. I have hands-on experience with Node.js, Python, and Go, building APIs, microservices, and data-driven applications. On the frontend, I work with React to create clean and responsive user interfaces. I’m also experienced with PostgreSQL, MongoDB, Git workflows, and cloud platforms like AWS. Additionally, I have exposure to AI/GenAI development, including LLM integrations, semantic search, and automation workflows. I focus on writing clean, maintainable code and can take ownership of features end-to-end. I’d be happy to share my portfolio and discuss how I can contribute to your projects. Best regards, Pooja

@salesapple

Hello, I’m a software engineer with 8+ years of experience in backend, frontend, and scalable system development. I’ve worked extensively with technologies like Node.js, Python, and React to build robust APIs, modern web applications, and data-driven platforms. I’m comfortable designing end-to-end solutions—from backend services and database architecture to clean, responsive frontend interfaces. I also have experience with cloud platforms and integrating AI/GenAI features such as APIs, automation workflows, and data processing systems. I focus on writing clean, maintainable code and take full ownership of tasks while ensuring clear and consistent communication in remote environments. I’m interested in both short-term and long-term collaboration and can quickly adapt to different project requirements. Looking forward to discussing how I can contribute to your projects. Best regards,

@ashinnd84

Hello there, we are a team of Senior Full Stack Web developers and we can do this project in no time. Thanks Ashish Kumar.

@alizain721

Retrieval-first GenAI features usually fail on vector tuning and chunking, not model choice — that's where I'd start. Most teams underestimate embed pipeline latency and metadata joins, which causes cost and search-quality drift over time. I’d define chunking rules and metadata schema up front to avoid that. Practical approach: prototype a small retrieval service (LangChain + OpenAI embeddings) with vectors in Pinecone or Weaviate, a FastAPI/Express microservice for search, Postgres for metadata, and a React frontend. Containerize with Docker and add GitHub Actions for CI; add simple metrics (response time, token cost) so we can iterate. Brief background: built RAG search with LangChain+Pinecone + FastAPI + React, and led Node/Postgres microservices with Redis. Preferred stack: Node.js or Python, React, Postgres, Pinecone/Weaviate, Docker. Availability: 25–30 hrs/week, overlap US mornings (EST). Quick question: do you already prefer a vector DB (Pinecone, Weaviate, Milvus) for incoming projects?

@Srashtasoft

Hi there, I have read your project requirement. You need experienced full-stack engineers for ongoing contract work across backend, frontend, and AI/GenAI systems, with strong ownership, clean code practices, and remote collaboration. We can support your upcoming projects with a flexible, end-to-end development approach. Our team works across Node.js, Python, and React/Vue, building scalable APIs, microservices, and modern frontend applications. We also have experience integrating AI/GenAI workflows (LLMs, automation tools, data pipelines) and deploying systems on cloud platforms with clean CI/CD practices. We focus on modular architecture, maintainable code, and consistent communication aligned with U.S. teams. Details: ====== • Preferred stack: Node.js, Python (FastAPI), React/Vue, PostgreSQL/MongoDB • AI/GenAI: OpenAI APIs, LangChain-style workflows, automation tools • Availability: 30–40 hours/week with overlap for U.S. time zones • Experience: SaaS platforms, APIs, dashboards, automation systems Questions: ========= What is the typical project duration (short tasks vs long-term engagements)? Do you prefer dedicated resources or flexible allocation per project? Any preferred cloud/platform standards (AWS, Azure, GCP)? Are there coding standards or architecture guidelines we should follow? Best Regards, Srashtasoft Team

@wasifmuneer

Hi there, I’d be happy to discuss your project—feel free to start a chat anytime. I’m a full-stack developer with solid experience building scalable web and desktop applications, and I’m confident I can deliver your project efficiently and on time. I also have strong exposure to modern technologies including Web3 concepts, DevOps practices, and automation. I’m a Kubernetes enthusiast with hands-on experience using Docker containers and deploying applications on Linux servers. My expertise includes: MERN / MEAN Stack (development + team management) .NET Core APIs with Angular, including D3.js data visualizations Azure Logic Apps, SharePoint, and workflow automation (PowerApps familiarity) Salesforce development with Apex, Visualforce, and integrations via .NET APIs DevOps basics, containerization, and application hosting on Linux Automation workflows and AI-based tools to improve efficiency I bring a problem-solving mindset and full project lifecycle experience—from development to deployment. Looking forward to hearing from you. Thank you!

@MIndlabsAi6

Hello, I am Vishal Maharaj, with 20 years of experience in Python, .NET, Vue.js, Node.js, NoSQL Couch & Mongo, and AI Development in Java. I have carefully reviewed your requirement for AI Full-Stack Engineers for U.S. team projects. To address your needs, I propose to design and develop robust backend services using Node.js and Python, integrate RESTful APIs, build modern frontend interfaces with Vue.js, work with NoSQL databases like MongoDB, and contribute to AI-driven workflows utilizing Java. I am committed to writing clean, maintainable code, and ensuring clear communication in a remote setting. I am eager to discuss how my expertise aligns with your project requirements. Please initiate a chat to further explore collaboration opportunities. Cheers, Vishal Maharaj