AI Sales Agent Development

@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 Python, and similar tools. I have worked with pytorch, and tensorflow to develop DL models, .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

@Softeria

As a seasoned AI professional with over 12 years of experience, I am confidently equipped with the skills and knowledge required to enable your project's success. My extensive background in AI research, development, and automation provides me with a unique perspective that allows me to create bespoke AI solutions tailored to meet specific business needs. In addition to my comprehensive understanding of AI algorithms and technologies, I'm also proficient in utilizing data analytics for meaningful insights. This proficiency is an essential aspect of developing an AI Sales Agent that accurately predicts customer needs and maximizes conversions. Through my in-depth knowledge of machine learning, we can build an intelligent agent that understands customer behavior and optimizes sales processes accordingly.

@Hrolgar

Is the agent meant to write back into the CRM as the system of record, or just read from it and hand off qualified leads for a human to close? That decision alone changes the shape of this build, and it's the first thing I'd want nailed down before touching code. My instinct on the architecture is a single orchestrating agent with tool calls into the CRM, a scoring layer, and reply drafting, rather than a genuine swarm of separate agents passing messages to each other. A swarm sounds impressive but adds latency and failure points that don't pay off until you're processing serious volume, and even then a well tooled single agent with clear routing logic usually gets you further per dollar. Qualification runs on rules plus an LLM read of intent, replies get drafted and either sent or queued depending on confidence, and everything that touches the CRM goes through one write path so nothing duplicates or drifts out of sync. M1: CRM connection and lead data model, $319, 3 days. M2: qualification scoring and lead routing logic, $383, 3 days. M3: reply generation and conversation handling, $319, 3 days. M4: testing against real lead scenarios, refinement, and deployment, $254, 3 days. Which CRM are you actually on, and does it already carry fields worth scoring against or would that need building from scratch? And when a lead needs a human, does that land as a CRM task, an email, or somewhere else entirely?

@Hubready

Hello!, This is James from Hollywood... I read your project carefully, and the main challenge is not just building AI agents, but making them actually useful for lead generation, CRM updates, and sales follow-up without being brittle or noisy. That is exactly where I can help. My approach would be: 1. Review your attached requirements and map the exact sales flow 2. Design the agent logic, data sources, and CRM touchpoints 3. Build and test the AI agents with clear guardrails 4. Validate output quality, handoff rules, and automation reliability 5. Deploy and refine based on real use cases I build AI systems that save time, improve lead handling, and create measurable business value. I pay close attention to edge cases, prompt behavior, and workflow design, because that is usually where these projects succeed or fail. Relevant work I have done includes: - AI lead qualification assistant for a B2B SaaS team - CRM automation flow for a service business - Multi-agent support workflow for an internal ops tool - Data-driven outreach assistant for a niche sales team Quick questions: 1. What CRM should the agents integrate with, and do you want sync both ways? 2. Should the agents only qualify leads, or also draft/send follow-ups? 3. Do you already have the conversation flow, or should I shape the agent logic from scratch? If you want someone who will treat this like a sales system, not just a code task, I would be glad to chat and get this moving the right way.

@ImranAli01

Hi there, I got that you are looking for an experienced AI developer to create AI Agents. This is what I can help you with, let's chat. My approach is to utilize cutting-edge machine learning algorithms and natural language processing techniques to develop highly intelligent AI Sales Agents. By leveraging advanced neural networks and deep learning frameworks, I will ensure that the AI Agents can effectively engage with customers, understand their needs, and provide personalized recommendations. The hardest requirement of this project will be to integrate the AI Agents seamlessly into your existing sales platform while maintaining high levels of accuracy and efficiency. As final deliverables, you will receive fully functional AI Sales Agents capable of enhancing customer interactions, increasing sales conversion rates, and improving overall customer satisfaction. One thing I'd like to confirm before we start: Could you provide more details on the specific functionalities you are looking to incorporate into the AI Sales Agents? Looking forward to discussing this exciting project further. Cheers, Imran

@emilesd617

Hi, I am an AI automation and full-stack developer with 8 years of rich experience in software development, with a background in AI agents, CRM automation, lead generation, and data-driven systems. I am familiar with OpenAI, LLMs, AI Agents, multi-agent workflows, RAG, Python, Node.js, REST APIs, CRM integrations, lead qualification, workflow automation, data analytics, and database management. I can build AI sales agents that handle lead research, qualification, personalized communication, CRM updates, follow-ups, and sales workflow automation, with modular agent roles so the system can be expanded later. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks.

@rajat07me

Building AI agents without first locking the exact use case usually leads to weak outputs, broken handoffs, or an agent that sounds impressive but cannot actually complete the job. The right first step is to define the agent’s role, decision flow, integrations, and fallback logic so it can handle real conversations instead of just generating text. I’ve worked on AI/chatbot and workflow automation setups where the important part was not just the model layer, but how the agent connects with forms, CRM, payments, internal rules, and human escalation when needed. That is usually what separates a useful sales/support agent from a demo. A small plus from my side is that I can help structure the flow before development so the build stays practical and within budget. - Is this meant to be a sales agent, support agent, internal ops agent, or a mix? - Which platform should it live on first: website, WhatsApp, CRM, or another channel? - Do you already have the conversation flows/integrations mapped, or do you want me to help define them?

@SkillCrafts

I understand you're seeking an experienced AI developer to build sophisticated AI Agents, similar to how I've previously developed custom chatbot frameworks that integrate with CRM systems for automated lead qualification. My approach focuses on creating agents that are not just responsive but also proactive and data-driven. My technical plan involves leveraging Python with libraries like LangChain for agent orchestration and OpenAI's GPT models for natural language understanding and generation. I'll implement a modular architecture allowing for easy integration of tools such as CRM APIs (e.g., Salesforce, HubSpot), calendar management, and email clients. We'll define clear agent roles and responsibilities, build robust prompt engineering strategies, and establish a feedback loop for continuous improvement based on interaction data. To ensure the agents align perfectly with your vision, could you elaborate on the specific sales workflows you envision them automating? Additionally, what are the key performance indicators you'll use to measure the success of these AI agents? I'm eager to discuss how my expertise can translate into tangible results for your sales operations.

@mayr81

AI Sales Agent Development, leveraging the attached Openhour Full Stack AI Engineer Application to build a production-ready sales agent workflow. I’ll focus on: (1) intent + lead intake, (2) outbound orchestration (email/CRM-ready structured outputs), (3) retrieval over your provided knowledge base for accurate responses, and (4) reliable handoffs to human follow-up when confidence is low. The build will prioritize clear conversation state management, measurable lead-quality signals, and safe guardrails to reduce hallucinations. Deliverables include a well-structured agent architecture, API endpoints for integrations, and deployment-ready setup so your team can iterate quickly on prompts, routing, and conversion logic. Seamless, end-to-end full-stack integration aligned with an AI-engineer workflow.

@carlosd178

Hello, As a result of a detailed review of your project requirements, I fully understand that you need an experienced AI developer to design and build practical AI Agents rather than a simple chatbot. I have experience with AI automation, agent workflows, CRM integrations, lead-generation systems, data analysis, tool calling, and multi-agent orchestration, and I’m available to start your project right now. For this project, I would structure the solution around clearly defined agent roles, shared context/memory, secure API/tool access, task routing, and reliable handoffs between agents. Where appropriate, I can also implement RAG, CRM actions, lead qualification, analytics, and human approval steps. In my opinion, one of the key challenges in AI-agent systems is preventing uncontrolled loops, duplicated actions, inconsistent decisions, and excessive API costs. I would address this with explicit workflow states, permission boundaries, validation layers, retry limits, logging, and measurable success criteria for each agent. I have a couple of quick questions. • Which CRM and external systems should the agents connect to? • Should the agents operate autonomously, or require human approval for important actions? I would be glad to discuss the attached specification in detail and am ready to start immediately. Best regards, Carlos.

@ZohaibRoy

⭐⭐⭐⭐⭐ Experienced AI Developer to Create Efficient AI Agents ❇️ Hi My Friend, I hope you're doing well. I just reviewed your project requirements and see you're looking for an experienced AI developer to create AI Agents. You have no need to look any further, as Zohaib is here to help you! My team has successfully completed 50+ similar projects for AI development. I will utilize the latest techniques and tools to ensure your AI agents are efficient and effective. ➡️ Why Me? I can easily create your AI Agents as I have 5 years of experience in AI development, specializing in machine learning, natural language processing, and automation. My expertise includes designing algorithms, data analysis, and model training. Not only this, but I also have a strong grip on other relevant technologies, ensuring a comprehensive approach to your project. ➡️ Let's have a quick chat to discuss your project in detail. I can provide samples of my previous work, showcasing the capabilities of my AI solutions. Looking forward to discussing this with you in our chat. ➡️ Skills & Experience: ✅ Machine Learning ✅ Natural Language Processing ✅ Data Analysis ✅ Algorithm Design ✅ Model Training ✅ Automation ✅ Python Programming ✅ TensorFlow ✅ Keras ✅ Scikit-Learn ✅ AI Frameworks ✅ Problem Solving Waiting for your response! Best Regards, Zohaib

@nikhilgarg96

Hi, I’d be happy to help develop the AI Agents described in the attached specification. I have experience building LLM-based agents, API integrations, automation workflows, RAG systems, tool/function calling, and backend services. My approach would be to first review the attached requirements, understand the agent workflows and required integrations, and then define the architecture before implementation. A few technical questions I would clarify first: Which LLM/model providers should the agents use? What external APIs/tools do the agents need to access? Do the agents require memory or RAG/knowledge-base capabilities? What level of autonomy and human approval is required? Are there existing systems/codebases that the agents need to integrate with? How should conversations, errors, retries, and agent actions be logged? I would build the agents in a modular way so they are reliable, maintainable, and easy to extend with additional tools or workflows. Thank you

@demivision

Hi there, Employer, Thank you for sharing your vision for the AI Sales Agent Development project. I understand you’re seeking an experienced AI developer to create robust AI Agents capable of optimizing sales processes, integrating with CRM systems, leveraging data analytics, and utilizing advanced AI automation techniques—including agent swarms and chatbots—for effective lead generation and management. As the founder of DemiVision, LLC, I bring deep expertise in AI development, CRM integration, and data-driven sales automation. I’ve successfully delivered projects that blend machine learning, conversational AI, and analytics to streamline lead qualification, follow-up, and conversion. My experience includes building scalable AI agent frameworks that act autonomously or collaboratively to handle complex sales workflows, from prospecting through nurturing and closing. To address your requirements, I propose a modular approach: 1. Analyze your current sales process and CRM ecosystem for integration points. 2. Design and develop specialized AI Agents equipped with ML models for lead scoring, behavior prediction, and personalized engagement. 3. Implement an agent swarm framework to enable parallel task execution, ensuring high responsiveness and adaptability. 4. Integrate advanced chatbots for real-time customer interaction and data capture. 5. Deploy analytics dashboards for actionable insights and continuous optimization. Throughout the project, I’ll ensure clear communication, thorough documentation, and a focus on delivering measurable sales outcomes. I’m excited by the opportunity to collaborate and help your business harness the full potential of AI-powered sales automation. Looking forward to discussing your goals and the attached details further. Best regards, DemiVision, LLC

@XRProConnect

Hi, Aashiq (Ash) here from Cape Town, South Africa. This project instantly caught my eye, so I had to reach out. I see you are looking for an experienced AI developer to create AI agents. This is an exciting challenge, and I’m eager to dive in. I have successfully developed AI solutions that enhance sales processes and improve customer interactions. My background in building high-performing AI models means I can deliver the results you're after. Feel free to ask for samples of my previous work that showcase my expertise in this area. Based on what you mentioned, here is how we would approach the project: - Conduct an initial assessment to understand your specific needs. - Develop AI agents tailored to your requirements. - Implement performance testing to ensure optimal functionality. You can count on clear communication throughout the project and a seamless, user-focused solution optimized for top performance. Best Regards, Aashiq

@miguelcen64

Hello, The key part of this project is **creating AI agents that can work reliably around your sales workflow without adding complexity**. I can help you handle this accurately and efficiently without overcomplicating the process. I have hands-on experience with **Data Analytics, AI Development, and CRM**, including building automation workflows that turn scattered business data into clearer next steps. For your project, I would focus on **agent design**, **CRM-aware workflow logic**, and **structured validation of outputs**, while making sure the final result is **practical, consistent, and easy to extend**. I can start immediately and expect to complete this within 3 weeks. One detail I'd like to confirm before starting: **should the agents be optimized mainly for lead qualification, outreach drafting, or internal sales support?** Best regards, Miguel

@denisSolution

Hi, I'm Denis, a developer who has built AI agents for lead generation and automation workflows. Your project involves creating agents that can process leads, interact with users, and integrate with CRM systems. The core challenge will be designing reliable workflows that handle real-time data, maintain context, and scale without increasing costs significantly. I recently worked on a similar system where agents processed thousands of leads daily while updating CRM records in real time. The key was balancing prompt accuracy with processing speed to avoid rate limits and ensure smooth operation. I can start working right away. Let's connect and discuss the details. Thanks, Denis.

@TheSecondSource

Hi There! We specialize in building AI sales agents and automation systems. With 9+ years of experience and a team of 62 professionals, we deliver scalable AI solutions. Here’s how we can help: 1. Build AI agents for lead generation and sales. 2. Integrate CRM, analytics, chatbots, and AI automation. 3. Design reliable workflows for qualification and conversion. Could you share the attached requirements and preferred AI stack?

@shayankhan333

Sales agents rise or fall on how well they handle objections mid-conversation, not on the opening pitch. I'll build the agent with a tool-calling LLM, RAG over your product and objection docs, and CRM handoff once a lead qualifies. Structured JSON output beats free text here, it keeps the CRM sync from breaking on edge replies. I can jump in straight away. 1) Which channel is this for, web chat, WhatsApp, email, or voice? 2) Do you already have the product and objection content, or does that need writing too? Thanks Shayan

@sufyanasmat38

I have experience developing AI agents with LLMs, API integrations, automation, tool calling, and scalable agent workflows. I can build the agents according to your attached requirements, with reliable orchestration, context handling, and integrations tailored to your use case. I’d be happy to discuss the requirements and approach in more detail.