AI Agent Workflow Automation Developer

@tadinhkien

Greetings, Thank you for considering my application for this project. As an AI Engineer and Python Developer with over 8+ years of experience, I bring a wealth of knowledge and expertise in the field of Python, Deep Learning. I have carefully reviewed the project description and am eager to discuss your specific needs and requirements in more detail. My commitment is to provide dedicated support and consistent follow-up throughout the project's lifecycle. Please feel free to reach out to me to further discuss how I can contribute to the success of your project. Looking forward to the opportunity of working together. Best regards, KuroKien

@webmasters486

Hi there, I’ve carefully reviewed the requirements for your GenAI project and I’m confident that my expertise in building NLP pipelines using Hugging Face and LangChain can meet your expectations. My experience includes working with large language models (LLMs) for Retrieval-Augmented Generation (RAG), as well as fine-tuning models with custom datasets to enhance text generation. I’ve successfully completed similar projects where I applied these techniques in Python to build robust, client-specific solutions. I would love the opportunity to discuss how I can leverage my skills to develop a tailored solution for your project. Feel free to take a look at my portfolio to get a sense of the work I’ve done: Portfolio: https://www.freelancer.com/u/webmasters486 Looking forward to hearing from you! Best regards, Muhammad Adil

@kumarashish99

As an experienced backend developer, DevOps engineer, and AWS-certified professional, I believe I bring a complementary skill set and mindset to your AI-native development team. Over the years, I've gained proficiency in Python, the very language you're primarily seeking for this role, and built many highly performant software solutions - including AI systems and automation workflows. Through my past work, I've developed a strong debugging mindset as well as an ability to work independently while always maintaining clear communication with all stakeholders. Lastly, underlining the nice-to-have skills for this position, I have hands-on experience with AWS Lambda and relevant cloud services you mentioned like AWS Managed AI/ML services (Textract, Comprehend, Kendra), which would be crucial for efficient AI/ML integration. With a proven track record of building scalable solutions for high-traffic applications (which your shop undoubtedly caters to), I'm confident that together we can ensure faster iterations, reliable shipments, proper documentation - thereby delivering value to our clients! Let's discuss more about my suitable pricing availability!

@snbhanja

Hi, I have worked many custom AI agent workflow projects using langgraph, langchain, llamaindex, crewai, agno etc. I work on the best architecture for ai agents using agentic frameworks, llm apis, agentic memory, tools, mcp servers, vector databses, sql dbs, etc. The whole system implementation done using async apis using python, fastapi and queue system to handle large number of concurrent users. The deployment can be customised based on cloud service and ci/cd accordingly. Let's connect.

@Shrutibimpl

Hello, I will design and build production grade AI systems and automation workflows tailored to your clients' needs. I will integrate popular LLM APIs into the applications using a modular architecture to ensure reliability and scalability. I will develop and optimize data pipelines and tool orchestration layers to handle complex API interactions and webhooks across third party platforms. My process includes rigorous evaluation of model outputs and hardening the system to meet real-world engineering standards. I will also provide clear documentation for every handoff and maintain the workflows for long-term stability. 1) What specific business industries or sectors are your primary clients in? 2) Do you have a preferred tech stack for the automation workflows, such as Python or TypeScript? 3) Are you currently using a specific agent framework or a custom-built solution? Thanks, Bharat

@chiragardeshna

Hello there, I am submitting my bid as an expert with strong experience in AI agents, LLM integrations, and automation systems. I understand you need someone to design and ship production-grade AI workflows, integrate APIs, and ensure reliability with clear documentation. I have carefully reviewed your requirements and align well with this role. I build AI systems using Python and TypeScript, working with OpenAI, Anthropic, RAG pipelines, and tools like LangChain and custom agent orchestration. I focus on scalable workflows, API integrations, and robust evaluation. With 12+ years of experience, I deliver reliable and production-ready systems. I can share relevant AI projects, tools I use, and confirm availability. Thanks Chirag

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Python Developer AI Agent Workflow Automation Developer. We are experienced full-stack Python developers with skill sets in: Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL AI/ML & Data Science: Model development, training & deployment, NLP, Computer Vision, Predictive Analytics, Deep Learning React, JavaScript, jQuery, TypeScript, NextJS, React Native NodeJS, ExpressJS Web App Development, Web/API Scraping API Development, Authentication, Authorization SQLAlchemy, PostgresDB, MySQL, SQLite, SQLServer, Datasets Web hosting, Docker, Azure, AWS, GCP, Digital Ocean, GoDaddy, Web Hosting Python Libraries: NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc. Please send a message so we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks

@Algokage

Hello, I can efficiently design and build production-grade AI systems and automation workflows integrating LLM APIs like OpenAI and Anthropic into client applications while optimizing workflows across APIs, webhooks, and third-party platforms. My approach involves evaluating outputs, hardening reliability, and documenting handoffs clearly. With 5+ years of experience in Python and TypeScript, hands-on experience with LLMs, prompt engineering, and tool orchestration, I am confident in delivering reliable solutions. Please send a message to discuss your requirements further or to receive samples of similar projects. Thanks, Adegoke. M

@ffulb

You need production-grade AI agent workflows that integrate LLM APIs and handle complex automation pipelines. I'll build these using Python/TypeScript with OpenAI/Anthropic integration, proper error handling, and clear documentation for handoffs. I built something similar - a multi-site content automation system that runs 5 sites autonomously with AI generation, API orchestration, and monitoring. Also created a Telegram operations bot for unified system control. You can see more at ffulb.com. Available to start immediately. My rate for this scope would be $15,000 for the initial implementation phase.

@shailender18

I propose to design and develop intelligent AI agent workflow automation systems tailored to your business processes. My approach focuses on creating scalable, efficient, and reliable automation using tools like APIs, LLM integrations, and platforms such as Zapier or custom backend solutions. I will map your workflows, identify automation opportunities, and build AI agents that can handle tasks like data processing, customer interactions, and decision-making. The system will include error handling, monitoring, and continuous optimization to ensure smooth performance. I prioritize security, speed, and usability while delivering clean, maintainable solutions. From initial setup to deployment and support, my goal is to streamline operations, reduce manual effort, and significantly improve productivity.

@MoeezAhmedDev

I build exactly what you're describing — production AI systems, LLM integrations, and agent workflows that actually ship. Recent work includes: - A multi-agent LangGraph pipeline automating client onboarding with OpenAI + webhook triggers - RAG system using Pinecone + Claude API for internal knowledge retrieval (TypeScript) - Automated data pipeline on AWS Lambda integrating 5+ third-party APIs with error recovery logic Strong in: Python, TypeScript, LangChain/LangGraph, OpenAI/Anthropic APIs, REST/webhook integrations, AWS, prompt engineering & eval. I work async, communicate clearly, and hand off clean documented code. Available to start immediately. Fixed price or milestone-based — happy to structure around your workflow. What's the first system you need built?

@tech650

As a Full-Stack Developer & AI Specialist, I build production-ready LLM systems and automated workflows. Expert in Flutter, Python, and API orchestration, I’ve shipped custom AI-integrated software and scrapers. Ready to take ownership, iterate fast, and scale your agentic systems.

@Sarvagya823

Hi, This aligns strongly with the kind of systems I’ve been building. I’ve worked on AI-driven platforms involving LLM integration, automation workflows, and data pipelines, including a cybersecurity-focused project where I integrated AI models into a real-time analysis dashboard with backend APIs and structured reporting. What I bring: • Strong experience with Python (Flask/FastAPI) and API-driven architectures • Hands-on work with LLMs (prompt engineering, structured outputs, automation flows) • Experience building end-to-end systems — from data processing to user-facing dashboards • Comfortable integrating third-party APIs, webhooks, and async workflows I focus on: Reliability (handling edge cases, validation, retries) Clean, modular code for easy iteration Clear documentation for handoff and scaling Tools & stack: Python, TypeScript (basic), Flask, FastAPI, PostgreSQL, REST APIs, Git, Docker (Also familiar with LLM orchestration concepts and can adapt to frameworks like LangChain/LangGraph quickly) Availability: Immediate Engagement: Open to long-term collaboration Happy to share project details or walk through my approach to building production-ready AI systems. Looking forward to working together.

@skolarai

I see you're building agent systems that need to integrate multiple LLM APIs smoothly—most teams struggle with the orchestration layer between webhooks and LLM calls, especially when you need reliable state management across async workflows. I've shipped production agent systems using Claude and GPT-4 with proper error handling and retry logic, and I'm comfortable architecting the integration layer so it scales without becoming a maintenance nightmare. What's your current bottleneck—is it getting the first agent into production, or optimizing existing workflows that are already running.

@chayanc7

Hello, I’m excited to apply for your AI Agent Workflow Automation role. I specialize in building production-ready AI systems using LLMs, automation pipelines, and API integrations, and I’m confident I can contribute effectively to your team. I have hands-on experience with Python and TypeScript, developing AI-driven workflows using OpenAI APIs, prompt engineering, and tool orchestration. I’ve built systems that automate lead handling, data processing, and decision workflows by integrating multiple APIs, webhooks, and third-party platforms. My approach focuses on reliability, scalability, and clean architecture—ensuring outputs are consistent, workflows are optimized, and systems are easy to maintain. I’m comfortable debugging complex pipelines, evaluating LLM outputs, and documenting systems clearly for smooth handoffs. I also have experience with LangChain-based workflows, vector databases, and cloud deployment (AWS), which helps in building advanced agent-based systems. Strongest Skills: Python, TypeScript, API Integration, LLM Workflows Availability: Ready to start immediately I’m looking for a long-term collaboration and would love to contribute to building scalable AI systems with your team. Let’s connect to discuss your current projects. Best regards, Remedio Technologies

@mairaj001

Hi, I build production-grade AI systems and automation workflows and this role matches exactly what I do day to day. I've shipped LLM-integrated applications using OpenAI and Anthropic APIs, built agent pipelines with LangChain and LangGraph, automated cross-platform workflows via webhooks and third-party APIs, and optimized prompt engineering for reliability in client-facing systems. Python is my primary language, TypeScript where needed, and I'm comfortable with vector databases, retrieval pipelines, and cloud deployment on AWS. I work independently, document handoffs clearly, and iterate fast which is exactly what a client-facing AI shop needs. Availability: Immediately Engagement: Open to fixed price or retainer depending on project scope Quick question: are most projects greenfield builds or do you typically inherit existing codebases to extend and harden? Best regards, Mairaj Ahmed

@techwagger

Hi, I build AI systems that actually work in production—not just demos—and can take ownership from design to deployment. I’ve worked on **LLM-powered tools and automation workflows** using Python and TypeScript, including: • API-driven AI assistants (OpenAI / Anthropic) with structured outputs • Workflow automation across webhooks, third-party APIs, and internal tools • Prompt engineering + tool orchestration for reliable task execution • Data pipelines for processing, summarization, and reporting **My core stack:** • Python (FastAPI, async pipelines) • TypeScript (Node.js, serverless functions) • LLMs: OpenAI, Anthropic (prompt design, eval loops, guardrails) • Vector search (Pinecone / FAISS) + retrieval pipelines • Docker + AWS/GCP basics for deployment **How I work:** • Focus on **reliability first** (structured outputs, retries, validation layers) • Build modular systems that are easy to extend and debug • Document flows clearly so handoffs are smooth • Iterate fast with measurable improvements **Availability:** Ready to start immediately. I’m comfortable working on a fixed-price per milestone or weekly basis depending on scope. If helpful, I can walk through a recent AI workflow (end-to-end) and how I handled prompt stability, error handling, and scaling. Let’s build something solid and production-ready.

@sunitad92

*Project Title: AI Agent Workflow Automation Developer* *Proposal:* Dear [Client's Name], I'm excited to apply for the "AI Agent Workflow Automation Developer" project. I'm an experienced developer with expertise in AI and automation. *My Skills:* - Experience in AI and machine learning - Proficiency in Python, Java, and other programming languages - Experience in cloud computing and deployment *Project Approach:* I'll develop a custom AI agent to automate your workflow. The agent will be deployed on the cloud for scalability and security. *Timeline:* - Project completion: 30 days - Milestone 1: Agent prototype (10 days) - Milestone 2: Full agent development (20 days) *Budget:* - I'll work within your budget of ₹25,000 - Payment terms: 50% advance, 50% upon delivery *Why Me:* - I have experience in AI and automation - I'll deliver the project on time and within budget - I'll work collaboratively to ensure the best results Best regards, Rocky Yadav

@phil223

Hi, this aligns perfectly with my experience. I’m an AI automation developer focused on building reliable, production-ready systems using LLMs and workflow orchestration. Recently, I’ve worked on: LinkedIn outreach automation that transformed recruitment workflows (lead sourcing → personalized messaging → follow-ups → CRM sync) LLM-powered assistants integrated with APIs and tools for business operations End-to-end automation pipelines using webhooks, third-party APIs, and structured data flows Prompt engineering + output evaluation to improve consistency and reliability in production Tech stack: Python, JavaScript/TypeScript, n8n (self-hosted + Railway), OpenAI APIs, REST integrations I’m comfortable working independently, debugging complex workflows, and shipping fast with clear documentation. Availability: Immediate Pricing: Flexible depending on scope (open to fixed or milestone-based) Happy to share demos or walk through systems I’ve built.