Title: Backend Engineer Needed for Bug Fix & Stability Improvement (Voice AI Agent – VAPI / Node.js / AWS EC2)

@n2rtechnologies

Hello, I understand that you need an experienced backend developer to diagnose and resolve stability issues in your Voice AI Agent project. My extensive background in backend development equips me to effectively identify and fix bugs that may be affecting your application's performance and reliability. I prioritize delivering a robust solution that enhances stability, ensuring your users have a seamless experience. Additionally, I can provide comprehensive technical documentation to support your team in maintaining the application moving forward. My approach focuses on thorough debugging and performance monitoring, allowing for a proactive stance on any potential issues. Let’s discuss how I can contribute to the success of your project. Regards, Nurul Hasan

@usamae

I've debugged memory leaks in Node.js services before - usually it's event listeners accumulating, closures holding references, or third-party SDKs not cleaning up properly after async calls. With VAPI-based agents the call lifecycle can cause handlers to pile up if termination events aren't handled correctly. I'd start with heap snapshots and track allocations over time under realistic load, then trace back from there. Can also check EC2 process metrics to tell if its steady growth (classic leak) vs sudden spikes (burst/overload issue). Can have a diagnosis and fix within 3-4 days. $200 works for me. - Usama

@ZohaibRoy

⭐⭐⭐⭐⭐ Resolve Stability Issues in Your Voice AI Agent System ❇️ Hi My Friend, I hope you are doing well. I’ve reviewed your project details and see you are looking for an experienced backend developer. You don’t need to look any further; Zohaib is here to help you! My team has successfully completed over 50 similar projects in backend development. I will diagnose the API downtime issues, analyze memory usage, and implement efficient fixes to ensure stability within your budget. ➡️ Why Me? I can easily address your Voice AI backend issues as I have 5 years of experience in Node.js, debugging memory leaks, and optimizing performance. My expertise includes AWS EC2 management and real-time systems. I also have a strong grip on resource handling and technical documentation, ensuring a thorough approach to your project. ➡️ Let's have a quick chat to discuss your project in detail and I can share samples of my previous work. Looking forward to connecting with you! ➡️ Skills & Experience: ✅ Node.js Development ✅ API Management ✅ Memory Leak Debugging ✅ Performance Optimization ✅ AWS EC2 Hosting ✅ Real-time Systems ✅ Technical Documentation ✅ Resource Management ✅ System Stability ✅ Troubleshooting ✅ Backend Architecture ✅ Independent Work Waiting for your response! Best Regards, Zohaib

@AZTURK1

Hi there, I will diagnose and fix the intermittent API downtime in your VAPI + Node.js Voice AI backend on AWS EC2. I’ve resolved similar memory-leak and resource exhaustion issues in production Node services and can quickly isolate whether memory overflow or improper resource handling is causing the outages. - Investigate live EC2 instances, collect heap/CPU profiles, thread dumps and V8 memory traces; identify root cause (memory leak, unbounded queues, socket leakage). - Implement targeted fixes in Node.js (garbage-collection tuning, connection pooling, backpressure, VAPI-specific resource cleanup). - Deploy staged patch with monitoring (APM/CloudWatch, heap snapshots) and rollback plan to ensure minimal downtime. - Deliver post-fix documentation: root cause, code changes, monitoring thresholds and mitigation steps. Skills: ✅ Node.js ✅ VAPI (voice AI backend) ✅ memory profiling / heap snapshots ✅ AWS EC2 / CloudWatch deployment ✅ performance tuning, rollback & hardening Certificates: ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ cPanel® & WHM Certified CWSA-2 I’m available to start immediately; Do you have recent application logs, heap snapshots, APM access (New Relic/Datadog) and a staging environment I can use for reproducing the issue? Price: $130 , Delivery: 1 day Best regards,

@itswahabahmad

Hi, What specific error messages or symptoms have you observed during the API downtime? It sounds like memory management might be the culprit, and I can help you find and fix those leaks. With over 5 years of experience in Node.js, I’ve tackled similar issues in past projects, ensuring backend stability. I can analyze your memory usage in detail and implement optimizations for the performance of your Voice AI system hosted on AWS EC2. I also prioritize clear documentation, so you’ll have a thorough summary of the diagnosis and solutions implemented. Let’s connect on Zoom to discuss your project further. Best Regards,

@jaroslavcaprata

Hi, there. I will audit your Node.js backend running on AWS EC2, profile memory and CPU usage, and trace request lifecycles to identify the root cause of intermittent API downtime. I will analyze heap snapshots, event loop blocking, open handles, and async patterns to detect leaks, overflow risks, or unhandled promise rejections affecting your VAPI voice agent. I have resolved 7 production stability cases involving memory leaks and resource mismanagement in real-time systems. Using structured monitoring and logging, I will review process limits, Node cluster configuration, garbage collection behavior, and EC2 instance metrics to isolate bottlenecks. I will implement optimized memory handling, proper cleanup of streams/sockets, rate limiting where required, and improved error handling to prevent crashes. Load testing with 20+ simulated concurrent sessions will validate stability under realistic voice traffic conditions. If needed, I will recommend instance sizing or scaling adjustments for long-term resilience. You will receive a clear technical report outlining the root cause, applied fixes, performance improvements, and preventive recommendations. The backend will be stabilized, monitored, and documented to reduce future downtime risk. If this sounds good, connect in chat and we can start. Thanks, Jaroslav Caprata

@nicolasalexandro

I already see a clean way to execute this. I specialize in backend engineering with Node.js, real-time/voice applications, and AWS (including EC2), and I’ve dealt with similar stability issues in production voice/AI systems before. Debugging flaky behavior, race conditions, and scaling problems in APIs and background services is very much in my wheelhouse, especially when reliability directly impacts user experience. You want your Voice AI agent to be stable, predictable, and production-ready—no random crashes, dropped calls, or timeouts—so your users get a smooth, uninterrupted experience every time. The goal is simple: find the root cause, fix it properly, and leave the system more robust than it is today. Before I suggest a focused plan, can you share whether the instability appears under specific load patterns (e.g., concurrent calls) or happens randomly even at low traffic? Lets chat more about your project, worst case you walk away with a free strategy session Regards

@GameOfWords

Title: Backend Engineer Needed for Bug Fix & Stability Improvement (Voice AI Agent – VAPI / Node.js / AWS EC2) I’m a full-stack software engineer with expertise in React, Node.js, Python, and cloud architectures, delivering scalable web and mobile applications that are secure, performant, and visually refined. I also specialize in AI integrations, chatbots, and workflow automations using OpenAI, LangChain, Pinecone, n8n, and Zapier, helping businesses build intelligent, future-ready solutions. I focus on creating clean, maintainable code that bridges backend logic with elegant frontend experiences. I’d love to help bring your project to life with a solution that works beautifully and thinks smartly. To review my samples and achievements, please visit:https://www.freelancer.com/u/GameOfWords Let’s bring your vision to life—connect with me today, and I’ll deliver a solution that works flawlessly and exceeds expectations.

@Vikasv8

As a seasoned full-stack developer with over 6 years of experience, I can confidently assure you that I'm the right choice for your backend engineering project. Node.js, AWS EC2, and VAPI are not just keywords on my profile but the heart of my skill set. Experiencing intermittent API downtime is a grave issue. My niche is in debugging memory leaks and optimizing system performance, which will prove invaluable in identifying and eradicating the root cause of these outages. I have a broad understanding of real-time systems, and I've worked extensively on similar voice-based AI platforms; so working on your Voice AI agent system won't be unfamiliar territory for me. My debugging skills, combined with a thorough knowledge of AWS EC2 environments, positions me uniquely to address the specific problems you're facing - memory overflow or improper management. Working independently but also communicating clearly and effectively is what sets me apart. While your project's goal is the top priority, ensuring your full satisfaction throughout the process holds equal value. Let me bring stability back to your Voice AI agent platform because you deserve nothing less than that!

@Friends4it

I've diagnosed and fixed this type of issue before — intermittent API downtime in Node.js backends is typically caused by memory leaks, unhandled promise rejections, or event loop blocking. My approach for your VAPI/Node.js/AWS EC2 system: 1. Connect to the EC2 instance and analyze current memory usage patterns (free, top, pm2 logs) 2. Enable Node.js heap profiling to identify memory leak sources 3. Review VAPI webhook handlers and async operations for uncaught rejections or accumulating data 4. Implement fixes: proper error boundaries, memory-safe data handling, connection pooling 5. Configure PM2 with memory threshold auto-restart as an immediate safeguard 6. Deliver documentation explaining the root cause, applied fix, and preventive measures I have strong Node.js debugging experience and have worked with AWS EC2 deployments. I can start immediately after award. Quick questions: 1. How frequently does the downtime occur (every few hours, daily)? 2. Are you using PM2 or another process manager? 3. Do you have CloudWatch or any monitoring logs available?

@VianRey1

It is incredibly frustrating to have your Voice AI agent go unresponsive just when users rely on it most, especially knowing the backend is live but plagued by memory or resource hiccups that leave the API down at unpredictable times. Not only does this disrupt your service, but it also risks user trust and ongoing operations. You can expect your backend to regain steady reliability, with the root cause of downtime fixed and performance optimized so your system stays responsive. I will start by digging into the backend to pinpoint exactly where things are going wrong. Next, I will analyze how memory is being used, tracking down any leaks or overflow issues. Finally, I will optimize how resources are handled and document everything clearly for you. Could you share how often the downtime occurs or if there are any patterns you have noticed?

@jorginhoo1

Drawing from nearly a decade of experience in backend development - with a strong proficiency in Node.js (such as the VAPI system) and AWS EC2 - I am confident that I can resolve the intermittent API downtime issues you're experiencing. My skillset includes robust debugging capabilities that will be vital for identifying and addressing potential memory leaks or overflow problems. Not only do I possess the technical skills necessary for this project, but I also have relevant domain knowledge which will further streamline my engagement. Having worked on various real-time systems, including voice-based AI applications like yours, I understand the criticality of stability and reliability from a firsthand perspective. In addition to hands-on work, I believe in clear and effective communication. One of my key strengths is my ability to break down complex technical tasks into understandable, actionable steps. This means that not only can I address the issue at hand, but I can also ensure that you have an accessible documentation summarizing the problem and solution- empowering your team to better manage any future complications.

@nutankumarftp

With over 10 years in the industry, 2000+ projects delivered, and a 100% client satisfaction rate, I am confident in my ability to diagnose and fix the stability issues plaguing your Voice AI agent. My extensive experience with Node.js backend systems has equipped me with a keen eye for debugging memory leaks and performance issues, which I believe hold the key to identifying the root cause of your API downtime. I am not only familiar with AWS EC2, but proficient in it; ensuring that not only will we pinpoint the problem behind those intermittent API downtime, but your system's overall performance will be optimized and resource-handling finetuned. Though specialized in different niches, my adaptability has helped me to excel from E-commerce to healthcare niche - making me fully capable of restoring full stability for your current voice AI agent backend. Lastly, my approach to every project is rooted in providing easily understandable solutions. Given your preference for an independent worker who can still offer clear technical explanations - look no further! I'm easily accessible and flexible for both short-term quick fixes or possible future collaborations. Let's restore the stability of your Voice AI agent together!

@usamaansari786

Hi there, I’ve diagnosed and stabilized Node.js backends running on AWS EC2 that suffered from intermittent crashes due to memory leaks, event loop blocking, and improper async handling so this Voice AI agent issue is well within my expertise. Here’s how I’d approach it: - Profile memory usage using Node heap snapshots and monitoring tools (PM2 / Node inspector) - Analyze garbage collection patterns and detect leaks or unbounded listeners - Review async flows, streaming handlers, and VAPI integrations for event loop blocking - Audit AWS EC2 resource allocation (RAM, swap, CPU throttling) - Implement proper memory management, request throttling, and process supervision - Add monitoring + alerts to prevent silent crashes The goal isn’t just to fix the crash it’s to make the system production-stable and self-monitoring. You’ll receive a clear root cause report, the applied fixes, and recommendations to prevent recurrence. Q)Are you currently running the service under PM2, Docker, or directly via Node on EC2? Ready to start immediately. Best Regards, Usama F

@ivanm465

As a Senior Full Stack Developer with over 8 years of proven experience creating and enhancing scalable backend architectures, I'm confident in my ability to tackle your Voice AI Agent stability challenges head-on. My extensive experience with Node.js aligns perfectly with your project's requirements, and I've successfully diagnosed and fixed memory leaks and performance issues similar to what you're experiencing now. My expertise extends to AWS EC2 environments — the platform on which your Voice AI Agent is hosted. I'm well-versed in addressing real-time complexities faced by voice-based AI systems like yours. Plus, as a developer who prioritizes clean coding and maintainability, I can optimize your backend performance for long-term stability. In my work history, I've consistently delivered code that improves system efficiency while ensuring full reliability. As an added benefit, my familiarity with Docker and CI/CD will ensure seamless deployment and management of your backend system on AWS. You can rely on my aptitude for problem-solving and my dedication to proactive documentation to resolve your API downtime issues and create a more stable environment for your Voice AI Agent. Let's connect to discuss how we can make this happen together!

@DeveloperStation

Hi there, We’ve developed multiple voice-based systems using Node.js and AWS, including a product that converts audio to text and generates summaries using AI. We’ve also worked extensively with VAPI, which is a key component of your project. We understand that the main issue is intermittent downtime, which can stem from various factors like memory leaks, unoptimized code, or server misconfigurations. Our approach is to first identify the root cause and then implement targeted fixes, rather than applying broad solutions that may not fully resolve the issue. We’re also proactive about server management and security, ensuring that your system remains robust against external threats. Let’s schedule a 10-minute call to discuss your project in more detail and see if I’m the right fit for your needs. Best, Adil

@dineshk743

Hello, I’m Dinesh Kumar With 14+ years of experience across multiple platforms, I’ve helped build numerous startups through dedication and hard work. I’m committed to delivering high quality work that ensures 100% client satisfaction. Your success is my priority, and I focus on building long term relationships based on trust and excellence. Expertise: Web & App Development – React.js, Node.js, JavaScript, PHP, MySQL, WordPress, Magento, CodeIgniter, Shopify, .NET, Flutter, FoxPro Strong knowledge of frameworks, software design, and development methodologies Proven ability to deliver custom, scalable, and reliable solutions for diverse industries I work with clients globally, providing end to end solutions that meet unique project needs while maintaining the highest quality standards.

@Jaly97

⚡Top Quality Results on Time!⚡ I can restore full stability to your Voice AI agent backend by diagnosing memory and performance issues in Node.js on AWS EC2, ensuring reliable API uptime and smooth real-time operations. I’ll handle it this way: 1️⃣ Investigate API downtime, identify root causes, and detect memory leaks or overflows. 2️⃣ Optimize backend resource handling and improve overall performance. 3️⃣ Implement fixes, test thoroughly, and provide clear documentation of the solution. I can start immediately and am confident I can deliver a fully stable backend quickly. Looking forward to working with you soon. Best regards

@jeric5g

Hello, I can help stabilize the Voice AI agent backend on AWS EC2 and address memory-related downtime in the Node.js service. I’ll start with a targeted root-cause analysis, heap profiling, and GC behavior review, then implement leaks fixes, safer memory management, and lightweight resource guards. I’ll also add concise docs and monitoring hooks for ongoing reliability. The work will be delivered with clear evidence of fixes and a concise reliability plan. I can start immediately and align with your live environment. Best Regards Jeric