AGI Dev for Intelligent Agent Systems

@Microlent

I saw your post about building agentic systems and multi step LLM workflows. Most developers can connect an API, but building autonomous agents that actually stay on track requires much more focus on reasoning loops and data retrieval. My approach to building these systems is straightforward: - I focus on the reasoning chain first to ensure the agent does not get stuck in loops or hallucinate. - I use vector databases like Pinecone or Chroma to give the agents long term memory and context. - I build using frameworks like LangChain or AutoGen while keeping the Python backend light and fast. - I prioritize error handling at every step of the autonomous workflow so the system can recover from API timeouts or unexpected model outputs. Portfolio reference: https://www.freelancer.com/portfolio-items/11349812-web-scraping-automation A couple of quick questions to help me understand the scope: 1. Are you looking to use hosted models like OpenAI or do you need open source models running on your own infrastructure? 2. What is the specific business process or task you want these agents to handle first? Open a chat and let's map out the architecture together. ~ Rajesh

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@avinashdubeyg209

Hi there, I'm excited about your project! I’ve got solid experience in building AI/ML systems that make use of LLMs like chatbots and automation tools. I’m well-versed in developing intelligent agentic systems that involve multi-step reasoning and autonomous workflows. I've worked with multiple APIs and frameworks for AI orchestration and have a strong command of Java and Python. Plus, I regularly use AWS services to scale models effectively. I'm also adept at data preprocessing and can fine-tune models for optimal performance. Really looking forward to contributing my skills to your project! Cheers!

@kaustubhbawa123

Hi, I am an IITian , worked at fortune 500 companies. I will make it a reality for you. With 7+ years of experience I will deliver a high-quality solution using modern technologies and industry best practices. Kindly click on the chat button so we can discuss and get started. Will share you my prior projects done and my resume too. I have been doing freelancing since 2019 worked at top MNCs in both USA and India. Lets connect

@vishal1145

Your agentic system will fail if the LLM hallucinates during multi-step reasoning or if your vector retrieval returns irrelevant context. I've debugged this exact failure mode in 3 production systems where agents made confident but incorrect decisions because the RAG pipeline wasn't validated against edge cases. Before architecting this, I need clarity on two things: What's your expected query volume for the vector database, and are you planning to use function calling for tool orchestration or a framework like LangChain's ReAct pattern? The architecture changes significantly based on whether you're handling 100 or 10K agent invocations per hour. Here's the architectural approach: - LANGCHAIN + FAISS: Build a retrieval pipeline with semantic chunking and reranking to ensure context relevance scores above 0.85, preventing hallucinations in multi-step workflows. - OPENAI FUNCTION CALLING: Implement structured tool use with retry logic and validation schemas so agents don't pass malformed data between reasoning steps. - PYTHON + FASTAPI: Deploy agent endpoints with async processing and Redis queue management to handle concurrent requests without blocking LLM API calls. - AWS LAMBDA + S3: Set up serverless inference with model caching to reduce cold start latency from 8s to under 2s for real-time chatbot responses. - VECTOR DATABASE OPTIMIZATION: Index embeddings with HNSW algorithm and implement hybrid search (semantic + keyword) to improve retrieval accuracy by 30-40%. I've built 4 agentic systems that handle autonomous workflows without human intervention, including one that processes 50K insurance claims monthly. I don't take on projects where the evaluation metrics aren't defined upfront. Let's schedule a 20-minute call to discuss failure scenarios and how you'll measure agent reliability before deployment.

@Web1devloper

As an AI/ML developer with over eight years in Data Science and Analytics, I not only meet but exceed the skills you are seeking for this project. My prime goal has always been to bridge the gap between raw data and strategic business insights; precisely what you need for your intelligent, agent-based AI system. My extensive experience with machine learning models, especially with LLMs (OpenAI, open-source models) will be of immense value as we develop solutions like chatbots and automation tools. Throughout my career, I have developed not only a profound understanding of Python but also honed my skills in API integration and backend development - exactly what is required from this project. In addition, my experience working with vector databases such as FAISS, Pinecone, Chroma complements the expertise you seek in your freelancer. What sets me apart, though, is not just a laundry list of technologies but an ability to combine them effectively to deliver innovative and actionable solutions that leverage the full potential of data. Whether it's fine-tuning models for better scalability or deploying solutions on cloud or local infrastructure, I have always been recognized for streamlined multi-step reasoning and autonomous workflows. Let's leverage my unique skill set in your quest to creating cutting-edge AI systems!

@CodeniaTechno

Hello, We understand you are looking to build an AI-based solution involving LLMs, agents, and real-world integration. With over 20 years of experience, our team has worked on AI systems using OpenAI and open-source models. We have built solutions using LangChain, LlamaIndex, and similar tools to handle chat, automation, and multi-step workflows. We have experience developing AI agents that can manage tasks, process inputs, and deliver reliable outputs. We can also handle backend integration using Python and APIs, along with setting up vector databases like FAISS, Pinecone, or Chroma for efficient data handling. We can deploy the solution on cloud or local setup based on your preference, ensuring it is stable and scalable. We have delivered 100+ projects globally and focus on clean implementation and clear communication. Estimated timeline: 2–3 weeks depending on scope. Quick question: Do you already have a defined use case or workflow for the AI agent, or should we help structure it? Happy to discuss and get started.

@ashinnd84

Hello there, we are a team of Senior Full Stack Web and Mobile App Developers, AI, ML experts. We can do this project. Please, send me a message to discuss the work. Thanks Ashish Kumar.

@UzeeTech

As an experienced and skilled Full-Stack Developer with a strong flair for artificial intelligence and machine learning, I believe I'm the perfect fit for your AGI Dev project. Having built and deployed numerous AI models and systems over my 7+ year career, including chatbots and automation tools, I've developed a deep understanding of the intricacies involved in modern machine language model (LLM) technologies like the ones you're looking to incorporate. On the technology front, my proficiency in Python coupled with extensive experience working with frameworks like LangChain, LlamaIndex, and AutoGen make me adept at maneuvering complex AGI tasks. My knowledge of backend architecture ensures I can handle data preprocessing, training, evaluation and API integration seamlessly. One of the reasons clients keep coming back is my clear communication style, consistent updates and shorter turnaround time leading to 98% projects getting delivered before deadline. This along with my holistic approach towards a project; which doesn’t just end at deploying code but extends to making grounded technical decisions that save you time and money, makes me confident that together we can successfully build advanced intelligent agent-based systems that encompasses multi-step reasoning and autonomous workflows for your business.

@chiragardeshna

Hi there, Strong alignment with this project comes from experience building agentic AI systems using LLMs, orchestration frameworks, and scalable ML pipelines for real-world automation. Clear understanding of your requirement to develop intelligent agents with multi-step reasoning, API integrations, vector databases, and deployable workflows across cloud or local environments. Expertise across Python, LangChain/LlamaIndex, OpenAI and open-source LLMs ensures robust agent design, efficient retrieval systems, and optimized performance with scalable infrastructure. Risk is minimized through structured pipeline design, prompt engineering, evaluation frameworks, and continuous monitoring for reliability and accuracy. Available to start immediately happy to discuss architecture, use cases, and next steps. Recent work: https://www.freelancer.com/u/chiragardeshna Regards Chira

@kshubham102

Hi, I’m an individual AI/ML developer with hands-on experience building real-world LLM pipelines and agentic systems—not just basic integrations. Approach Python-first architecture (FastAPI + modular services) Agentic workflows using LangChain / LlamaIndex / custom pipelines Multi-step reasoning agents (task planning → execution → validation) Vector DB integration (FAISS / Pinecone / Chroma) for RAG systems What I’ll Build LLM-powered agents (chatbots, automation, workflows) Context-aware pipelines (retrieval + reasoning + action) API-integrated backend services Scalable, production-ready system with logging & monitoring Core Capabilities Prompt engineering + output structuring Model optimization (latency, cost, caching) Data preprocessing + evaluation pipelines Cloud/local deployment (Docker, AWS/GCP ready) Deliverables Fully working agentic AI system Clean, modular codebase API endpoints + documentation Deployment setup (Docker/cloud) I actively use LLMs daily (Claude, ChatGPT, coding agents) to build and refine systems, and focus on making them reliable and scalable in production. Happy to discuss your use case and start quickly. Best Regards Shubham Sharma

@tamannarajput18

As an experienced Full Stack Developer with a strong record of building scalable applications and workflow automation solutions, I believe I'm an ideal candidate for your AGI Development project. My proficiency in the MEAN and MERN stack paired with my AI knowledge will allow me to design and develop seamless, agent-based systems utilizing modern machine learning and large language model technologies. Throughout my career, I've worked on numerous backend systems, handled data preprocessing and evaluation, and built API-driven applications - all skills that directly align with your project requirements. My expertise in Python - a key skill of this project - has seen me implement various ML models, including LLMs like those leveraged by OpenAI.

@dushyant317

I design and deploy production-ready agentic AI systems using Python, LLMs (OpenAI/open-source), and frameworks like LangChain/LlamaIndex, with vector databases and API integrations for scalable, real-world automation. I can take your solution from model design to cloud deployment with optimized performance, multi-agent workflows, and robust evaluation pipelines.

@somendersingh96

Hello, I can design and deploy agentic AI systems using LLMs that handle multi-step reasoning, automation, and real-world workflows reliably. ✅ What I Bring • Strong Python + ML/AI experience • LLM integration with OpenAI and open-source models • Agent frameworks: LangChain, LlamaIndex, AutoGen • Vector DBs: FAISS, Pinecone, Chroma • End-to-end pipeline: data → model → agents → deployment ✅ What I’ll Deliver • Agent-based workflows (multi-step reasoning, task automation) • LLM-powered chatbots/tools with API integrations • Optimized, scalable deployment (AWS/GCP/Azure or local) • Clean, well-documented code I focus on production-ready AI systems, not just prototypes. Ready to discuss your use case and start immediately. Best regards, Somender Singh

@indreshpnk

Hello, I understand you need an experienced AI/ML & LLM developer to build and deploy agent-based intelligent systems with automation, orchestration, and scalable AI workflows. The goal is to deliver a robust, production-ready agentic AI solution. Here’s what I can provide: * Design and development of agentic AI systems using LangChain / LlamaIndex / AutoGen * LLM integration (OpenAI & open-source models) with API orchestration and automation workflows * Scalable backend with vector databases (FAISS / Pinecone / Chroma) and cloud deployment (AWS / GCP) I bring over 4+ years of experience in Python, Machine Learning, LLM-based applications, AI agents, and backend development, with a strong focus on building scalable and production-ready systems. Just to clarify: * Do you already have a preferred LLM stack or should I propose the full architecture? * What level of autonomy do you expect in the agent workflows? Please come to the chat box to discuss more about your project. Best regards Indresh Kushwaha

@samyotechit

As an experienced AI/ML developer with a strong background in intelligent automation, I believe my skill set is tailor-made for your project's needs. Working hand-in-hand with organizations to design, build, and deploy conversational AI products is what I do best. My expertise in building AI Agents, AI Chatbots, and integrating retrieval-augmented generation pipelines aligns perfectly with the goals of your project. Over the years, I have gained extensive proficiency in Python, which is crucial for developing ML models and working with LLM-based solutions and frameworks. My experience extends beyond language models; I am also well-versed in vector databases like FAISS, Pinecone, Chroma - an asset that not all developers can boast of. Additionally, backend API integration and deployment on cloud platforms like AWS / GCP / Azure are second nature to me.

@mubashir021

As an experienced AI/ML developer, I am excited about the opportunity to build and deploy intelligent agent-based systems tailored to your needs. My expertise in Python, coupled with hands-on experience with large language models like OpenAI and open-source alternatives, enables me to design robust AI solutions that leverage modern machine learning techniques. I have successfully developed multi-step reasoning and autonomous workflows in previous projects, ensuring that the systems I create not only function effectively but also scale efficiently. I am well-versed in working with frameworks such as LangChain and LlamaIndex, and I have a solid understanding of vector databases like FAISS and Pinecone, which are essential for optimizing AI model performance. My experience with cloud platforms like AWS and GCP will facilitate smooth deployment and integration of your AI solutions. I believe in clear communication and collaboration throughout the development process, ensuring that your requirements are met with precision. With a commitment to quality and timely delivery, I estimate that I can complete this project in 14 days. Let's discuss how we can turn your vision into reality.

@wuyih

Hi, I can handle this project. Experienced in Python development, automation, and API integration. Quick turnaround and clean code guaranteed. Let me know if you have any questions.

@alejandronerea

Your project aiming to develop intelligent, agent-based systems with multi-step reasoning and autonomous workflows is precisely my expertise. My technical approach utilizes Python, integrating advanced LLMs with orchestration frameworks like LangChain for robust agentic behavior. I focus on building scalable, API-driven solutions for automated workflows and seamless deployment. Based on the scope, I anticipate delivering a functional core agent module or an initial MVP within 2-3 weeks, ready for testing and iteration. To ensure we align perfectly, could you detail the primary business problem this initial intelligent agent system aims to solve?