Python Developer for AI Sales Automation

@ZohaibRoy

⭐⭐⭐⭐⭐ Python Developer for AI & Automation Platform Solutions ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project needs and see you are looking for a Python Developer for an AI-powered sales automation platform. Look no further; Zohaib is here to help you! My team has completed over 50 similar projects in Python development. I will create backend services, integrate AI tools, and build APIs tailored to your requirements, all within your budget. ➡️ Why Me? I can easily handle your project as I have 5 years of experience in Python development, focusing on API integration, automation workflows, and AI applications. My expertise includes working with various tools like ERPNext and n8n, ensuring a solid approach to your project. ➡️ Let's have a quick chat to discuss your project in detail. I can show you samples of my previous work, demonstrating my skills in Python and automation. Looking forward to our discussion! ➡️ Skills & Experience: ✅ Python Development ✅ API Integration ✅ Automation Workflows ✅ FastAPI, Flask, Django ✅ Docker & Linux ✅ AI Tool Integration ✅ PostgreSQL/MySQL ✅ Git & Version Control ✅ Problem-Solving Skills ✅ Debugging Skills ✅ Workflow Automation ✅ CRM Integration Waiting for your response! Best Regards, Zohaib

@kamran2012

Interesting project, I will build your Python backend services — FastAPI APIs, n8n automation workflows, and the integration layer connecting ERPNext, Chatwoot, Listmonk, Dify, and Ollama into a unified sales automation pipeline. One architecture decision worth addressing early: I will set up n8n as the central orchestrator with webhook-triggered flows, so each tool communicates through a single event bus rather than point-to-point integrations. This drastically reduces maintenance overhead as you add new tools in later phases — especially when LiveKit/Vocode come into play. Questions: 1) Are these platforms already deployed via Docker, or will I handle the initial infrastructure setup as well? Send me a message and we can go over the details. Best regards, Kamran

@ykarora26

With a background in Python development and API integrations, I see a great fit for your AI-powered sales automation platform project. My experience aligns well with integrating AI tools and building automation workflows. Could you share more details about the current status of the API integrations and the specific CRM solutions you plan to incorporate? Regards, Yogesh Kumar

@Feriver

Hello, I’ve reviewed your Python AI sales automation platform requirements for Canada/USA, including integrations with ERPNext, n8n, Ollama, Dify, Chatwoot, and workflow-driven CRM/email/WhatsApp automation. I understand you need a scalable backend with strong API orchestration, AI model integration, and robust automation pipelines for sales and lead generation. I will build backend services using FastAPI (or Django if needed), design REST APIs, and integrate ERPNext, n8n workflows, Ollama LLMs, Open WebUI, Listmonk, and Chatwoot for omnichannel automation. I’ll implement Docker-based deployment, secure authentication, database design (PostgreSQL/MySQL), and maintain clean architecture with tests, logging, and documentation. As a Preferred Freelancer on Freelancer.com—recognized among the platform’s top 1% professionals—you can expect reliable communication, consistent quality, and professional project execution. I can quickly align with your existing architecture, audit current integrations, and start building scalable AI-driven workflows for automation and CRM processes. Let’s define the MVP modules so development can be structured and efficiently delivered. Which tools are already implemented vs planned for Phase 1? Do you prefer FastAPI or Django, and what deployment environment are you using? Best regards, Asif Nawaz Baloch SoasTech

@point2solutions

Hola, your AI automation platform is exactly the kind of scalable and future-focused system I enjoy working on. I am available to help develop and integrate your Python-based AI ecosystem using tools like FastAPI, n8n, ERPNext, Ollama, Dify, Chatwoot, and other open-source automation platforms. I have experience building API-driven systems, workflow automations, AI integrations, CRM connectivity, and scalable backend architectures focused on performance and maintainability. I can assist with backend development, automation pipelines, deployment setup, third-party integrations, and AI workflow implementation while ensuring clean documentation and secure architecture. Looking forward to discussing the project further and sharing similar AI automation and integration work with you. Best regards, Shailesh P.

@toriquldev123

Hello dear, Greetings from MD. Toriqul Islam! We are a dedicated Web Design & Development team with over 10+ years of industry experience. I’m Engineer Toriqul Islam, an experienced Computer Science & Engineering graduate from RUET. We specialize in building modern, scalable, and user-friendly digital solutions tailored to business needs. What I Offer We help businesses grow online by delivering: • Clean, modern, and responsive website designs • High-performance and scalable web applications • User-focused UI/UX for better engagement and conversion My Technical Expertise We work across a wide range of technologies, including: • Frontend: HTML5, CSS3, Bootstrap, JavaScript, jQuery, Angular, React • Backend: Node.js, PHP, Laravel, .NET, CodeIgniter, Ruby on Rails, Python • CMS & Platforms: WordPress • Database: MySQL, MongoDB • Mobile Development: React Native, Flutter, and more Why choose me? ✔️ Clean, optimized, and well-documented code ✔️ Reusable and scalable components ✔️ On-time delivery with complete requirement fulfillment We are confident in our ability to turn your ideas into a powerful digital product. Let’s discuss your project and make it a success. Looking forward to working with you! Best Regards, Md. Toriqul Islam

@doomshellsl

Hello, We at Doomshell Software Pvt Ltd specialize in Python development, AI integrations, and workflow automation solutions. We can help you build a scalable AI-powered sales automation platform using modern open-source AI and automation tools. Our Approach: • Analyze your automation and CRM workflow requirements • Build scalable backend services using Python & FastAPI/Django • Integrate ERPNext, n8n, Ollama, Dify, Chatwoot, and other tools • Develop APIs, AI workflows, and automation pipelines • Configure Docker deployment, databases, and cloud environments • Optimize security, scalability, and system performance What We Will Deliver: • Complete AI automation backend system • REST APIs & third-party integrations • CRM, email, WhatsApp & scheduling automation • AI/LLM integration workflows • Deployment-ready scalable architecture • Documentation, testing & post-launch support Quick Questions: • Which platforms/tools are already configured? • Do you have a preferred cloud/server infrastructure? • What is your expected MVP timeline? We are ready to start immediately.

@DeveloperStation

Hi there, We’ve developed multiple AI-driven products, including a sales automation platform that integrated with CRMs and email systems to automate lead generation and outreach. We also built a Chrome extension that used AI to summarize LinkedIn profiles and generate personalized outreach messages. With 15 years of experience, I’ve worked extensively with Python frameworks like Django and Flask, and I’m well-versed in CI/CD, Docker, and server management. I’m also a strong advocate for Agile methodologies, ensuring that we deliver the right product efficiently. 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’m looking forward to hearing more about this exciting project. Best, Adil

@temoberishvili

Hello, It sounds like you're looking for a Python Developer to enhance your AI sales automation platform. I can help with that, especially with my experience in Django and API development. For your project, I’d focus on building a robust backend using Django and FastAPI to facilitate seamless integration with your AI functionalities. I understand the importance of making the system efficient and easy to scale, so I would consider the trade-offs between using Google App Engine and other cloud services for deployment. I'd start by setting up a basic Django project, then integrate the necessary APIs for automation and AI features. Q1: What specific AI functionalities are you looking to implement in the sales process? Q2: Do you have existing infrastructure on Google App Engine, or would you need to set that up from scratch? Q3: Are there particular automation tools you want to integrate with the platform? Let’s make this project a success.

@vishal1145

Your platform will fail at scale if the n8n workflows aren't designed with retry logic and error handling from day one. I've seen automation pipelines collapse under load when API rate limits hit or webhook deliveries fail - especially when you're orchestrating ERPNext, Chatwoot, and Listmonk simultaneously across time zones. Before architecting the integration layer, I need clarity on two things: What's your expected daily lead volume (100 or 10,000), and are you planning to self-host Ollama models or use API-based LLMs? This determines whether we need Redis queuing or can handle synchronous processing. Here's the architectural approach: - FASTAPI + CELERY: Build async task queues to handle email campaigns and WhatsApp messaging without blocking the main thread, ensuring sub-500ms API response times even during bulk operations. - N8N + ERPNEXT: Design webhook-driven workflows that sync lead data bidirectionally while implementing idempotency keys to prevent duplicate CRM entries during network failures. - OLLAMA + DIFY: Set up a local inference pipeline with connection pooling to handle 50+ concurrent AI requests without memory leaks, reducing response latency by 70% compared to cloud APIs. - POSTGRESQL OPTIMIZATION: Structure the database schema with proper indexing on lead_status and campaign_id fields to support real-time analytics queries that Apache Superset will run every 30 seconds. - DOCKER + LINUX: Containerize each service (ERPNext, Chatwoot, n8n) with health checks and auto-restart policies to maintain 99.5% uptime across your microservices stack. I've built 4 similar AI automation platforms that integrated open-source tools at scale - one processed 50K leads daily across Canada/US markets. I don't take on projects where the integration points aren't mapped upfront. Let's schedule a 20-minute technical call to walk through your current infrastructure and identify bottlenecks before we start development.

@muneeb6767

I have strong experience building AI automation systems with Python, FastAPI, n8n workflows, LLM integrations, Docker deployments, and scalable backend architectures, making me a strong fit for your AI-powered sales automation platform targeting Canada and USA markets. I can contribute across ERPNext integrations, automation pipelines, CRM/email/WhatsApp workflows, AI tooling like Ollama/Dify/Chatwoot, and scalable API development while maintaining clean deployment and documentation practices.

@mayankinnovative

Dear Hiring Manager, I'm excited to apply for the Python Developer role. With 2-5 years of experience in Python development, API integrations, and AI-powered automation, I'm a strong fit for your AI & Automation Platform team. Key highlights: → Developed backend services using Python (FastAPI, Flask) and integrated AI tools like ERPNext, n8n, and OpenAI → Built automation workflows for lead generation, sales processes, and omnichannel communication → Hands-on experience with REST APIs, Docker, Linux servers, and PostgreSQL/MySQL databases → Strong problem-solving skills and experience with Git version control Relevant experience: → ERPNext customization and API integration → n8n automation workflows for sales and marketing → AI model integrations (Ollama, OpenAI) for chatbots and automation I'm comfortable working with your tech stack, including ERPNext, n8n, Ollama, and Chatwoot. I'm excited to contribute to your AI-powered sales automation platform. A few quick questions: 1. What's the project timeline and expected milestones? 2. Do you have specific requirements for deployment and DevOps? 3. Any existing codebase or repositories to work with? Best Regards, Mayank Saluja

@ska234

Hello, I hope you are doing well. I'm a Python developer with hands-on experience across FastAPI, Flask, and Django, REST API integrations, PostgreSQL, and Docker deployments on Linux, plus practical work with n8n automation workflows, Ollama for local LLM inference, and AI/LLM integrations into production systems. I'm comfortable building the backend services, API layer, and automation pipelines tying together ERPNext, n8n, Ollama, Dify, and Chatwoot, plus the email, WhatsApp, scheduling, and CRM integrations the platform needs. Happy to share relevant AI automation and integration work privately so you can see the experience level fits the role. Ready to start as soon as we align on schedule and engagement terms. Best regards,

@taimoorkhan311

Hello, I am a seasoned professional with 4 years of experience in Automation and Software Architecture. I have a strong background in Python, Django, Google App Engine, API Development, and FastAPI, making me well-equipped to handle your project requirements effectively. I have carefully reviewed your project description for a Python Developer specializing in AI Sales Automation. I am confident in my ability to deliver a professional and efficient solution tailored to your needs. I am proficient in integrating AI tools, developing APIs, and creating automation workflows, aligning perfectly with the responsibilities outlined in the job description. I have the expertise and skills necessary to execute this project flawlessly. Please connect with me in the chat to discuss this opportunity further. Best regards, Taimoor from Pixels Soft Please connect with me in the chat for further discussion. Best regards

@alizain721

You want an AI powered sales automation stack that stitches ERPNext, n8n, Ollama, Dify and Chatwoot into reliable lead to close workflows for US and Canada. That requires more than APIs it needs resilient data flows, auth, and predictable model inference costs. Most teams underestimate orchestration and observability when mixing many open source pieces. Making automation reliable and auditable is the real challenge. Built Velocity IQ, an AI prospecting engine that integrated CRM signals, LLM outreach generation, and high volume data ingestion on a Django backend with production grade security and scaling. My approach is practical and iterative. I will review your current architecture and repo. I will implement stable API gateways and auth, then wire n8n workflows to trigger Ollama/Dify model calls and Chatwoot messaging. I will containerize services and add monitoring and retry logic for reliability. Do you have an existing repo or design docs I can review so I can prepare a concrete plan and estimate?

@Hrolgar

First decision I'd nail down before touching any Django code: keep the automation runtime out of the request cycle entirely. Sales automations that call third-party APIs or run async pipelines block for anywhere from 2-30 seconds per job. Put that logic in a Django view and gunicorn worker exhaustion hits the first time three jobs run at once. The structure that avoids it: Django for the user-facing dashboard and admin, a separate FastAPI service as the automation runtime, Celery plus Redis as the queue between them. Shared pydantic models in a private package keep the contracts consistent as both services evolve. On GCP, App Engine flex for Django and Cloud Run for FastAPI, so the automation service scales to zero between runs rather than burning idle CPU between jobs. M1: Repo structure, shared pydantic package, CI/CD scaffold on GCP. CAD 180, 1d. M2: Django app, auth, user dashboard. CAD 216, 1.5d. M3: FastAPI automation service, Celery + Redis, first pipeline end-to-end. CAD 216, 1.5d. M4: GCP deploy, smoke tests, handoff docs. CAD 108, 1d. Total: CAD 720, 5 days. What does the automation pipeline integrate with on the external side? Email APIs, CRMs, or something custom will change how I scope M3.

@mughiraaa

Hello, I would like to request a discussion meeting so we can go through your AI automation platform in detail and confirm how my experience aligns with your goals before starting development. I have strong Python experience working on backend systems that connect multiple services through API integrations and automation flows. In recent work, I have handled workflow driven systems where data moves between CRM style platforms, messaging systems, and AI services while keeping performance stable and easy to monitor. I am also familiar with FastAPI based services and structured backend design for scalable automation use cases. For your project, I understand the importance of connecting systems like ERPNext, n8n, Chatwoot, and AI models such as Ollama and Dify into a single coordinated ecosystem. My approach would focus on clear separation between automation workflows, AI processing layers, and communication channels so each part can operate independently while still sharing data efficiently. I would appreciate a meeting where we can review your current architecture plans, discuss priority workflows for the MVP, and align on how AI features should interact with automation pipelines. This will help ensure a clear direction and avoid unnecessary rework later. I will share my portfolio in chat I look forward to hear from you. Thanks Best Regards, Mughira

@mobiwebsolutions

✋ Hi There!!! ✋ The Goal of the project:- To build and scale an AI powered sales automation platform with strong Python backend, integrations, and workflow automation. I carefully read your requirements and understand you need a Python developer experienced in AI tools, API integrations, and automation ecosystems like ERPNext, n8n, and CRM systems for a scalable solution. I am a strong fit as I have hands on experience building AI automation platforms with reliable backend and integrations. * Develop Python backend with FastAPI and secure API integrations * Build automation workflows using n8n and integrate AI tools like Ollama and Dify * Manage database, testing, deployment, and full source code delivery I have 2 to 5 years experience and have completed similar AI automation and CRM integrated platforms for lead generation and communication systems. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@NEHABHAT92

With over 9 years of experience in web and mobile development, including expert-level knowledge in Python, I believe I am the ideal candidate to help create your AI-powered sales automation platform. My extensive experience includes python development, API integrations, and automation workflows - skills that are perfectly aligned with the project you have at hand. Moreover, my experience with a myriad of languages including FastAPI, Flask, Django combined with REST APIs and third-party integrations makes me well-suited for this role. The addition of my expertise in Docker, Linux servers as well as deployment environments only further strengthens my candidacy. Given the project's use of multiple open-source tools, I also have the advantage of practical implementation experience in at least 2 of the preferred platforms/tools mentioned - deftly handling ERPNext/ Frappe Framework, n8n Automation, Ollama et al. This practical experience in open-source AI automation ecosystems sets me apart from other candidates. I look forward to leveraging my skills to create a scalable, efficient and secure ecosystem for your business aimed at the Canada and USA markets.