AI Engineer (Chat + Voice) — Plug-In Role for Business Messaging Platform

@corpmember29

I HAVE READ YOUR REQUIREMENTS CAREFULLY AND CLEARLY UNDERSTOOD THE SCOPE AND FOCUS OF THE AI ROLE. I have 10+ years of experience with AI, including LLMs (OpenAI, Anthropic), conversational AI, and voice pipelines. I have designed and integrated AI chat and voice modules into existing platforms, handling prompting, context management, memory, tool/function calling, and end-to-end voice-to-text / text-to-voice workflows. In prior projects, I worked as a plug-in specialist, integrating AI brains into business messaging systems without touching full-stack or DevOps responsibilities. I WILL DELIVER CLEANLY INTEGRATED AI LOGIC, DOCUMENTED PROMPT AND VOICE FLOWS, AND 2 YEARS OF FREE ONGOING SUPPORT FOR ADJUSTMENTS AND TUNING. We will work on a contract/project basis with clear milestones, handoffs, and testing in your Inboxx environment. I am available to start immediately and can align with your preferred engagement schedule. I eagerly await your positive response. Thanks

@Julian29

Hello, HAVE HANDS-ON EXPERIENCE WITH SUCH PROJECT I have 9+ years of proven experience working with LLMs, chatbots, and voice AI pipelines, and I confidently understand your requirement to plug an AI brain into an existing messaging stack without owning the platform. The goal is to design and implement a clean, production-grade AI layer that handles chat + voice conversation flows, memory/context management, and tool/function calling within your Inboxx system. Core features -->> LLM integration (OpenAI/Anthropic) -->> prompt & conversation flow design -->> context + memory management -->> tool/function calling framework -->> voice-to-text and text-to-voice pipelines (if needed) My approach is modular AI architecture, secure API integration, robust testing, and iterative tuning for real-world business messaging use cases. Happy to continue in chat as I have a few questions about your current backend endpoints and the desired AI use cases before proceeding further. Thanks Julian

@DigitaSyndicate

⚠️You are not looking for a coder. You are looking for someone who can build this properly. That is exactly why your project stood out.⚠️ Your aim to integrate advanced AI logic seamlessly into an established messaging infrastructure indicates a focus on specialized, scalable intelligence rather than rebuilding foundations, a principle deeply ingrained in how we approach AI integration at DigitaSyndicate. At DigitaSyndicate, a UK-based digital systems agency, we build precision-engineered AI-driven systems designed for reliability and seamless integration. Our expertise aligns flawlessly with your need for clear AI plug-in roles, emphasizing clean architecture and optimized conversational flows without disrupting existing backend stability. We recently delivered a conversational AI module that enhanced multi-channel customer communications for a finance client, improving response accuracy and system responsiveness. Can you share your main priorities and timeline so I can map out the right execution plan for you? Casper M. Project Lead | DigitaSyndicate Precision-Built Digital Systems.

@rbtech1984

Hello There!!! ⚜⭐⭐⭐⭐⚜(( Integrate AI chat and voice intelligence into Inboxx messaging platform ))⚜⭐⭐⭐⭐⚜ I see you need a dedicated AI engineer to plug conversational intelligence into your existing platform without touching the backend or infrastructure. The goal is to enable seamless chat and voice interactions with context-aware, responsive AI. I have hands-on experience designing LLM-based chatbots, building voice-to-text and text-to-voice pipelines, and implementing conversation flows with context memory. I have worked with OpenAI and Anthropic models and integrated AI modules into live messaging systems. Key features: Context-aware AI chat for business messaging Voice-to-text and text-to-voice pipeline integration Tool and function calling with dynamic prompt management I would be happy to discuss your requirements and help implement an AI layer that enhances Inboxx user experience. Warm Regards, Farhin B.

@amaank66

I can plug directly into your Inboxx architecture as a senior AI engineer and deliver the full chat + voice intelligence layer—clean, contained, and fully aligned with your existing backend. My focus is pure AI: LLM prompting, conversation flow design, context + memory management, and reliable function/tool calling built for real business messaging use cases. I have hands-on experience integrating OpenAI/Anthropic models into live messaging systems, building guardrailed chat engines, and designing voice pipelines (STT/TTS) using Whisper, Deepgram, ElevenLabs, and custom routing logic. I work as a plug-in specialist—no product politics, no refactoring your stack, no scope creep. Just stable, performant AI behaviour that fits cleanly into your infrastructure. I’ll share relevant conversational-AI builds, my role in each, tooling used, and exact availability on reply. Ready for contract-based engagement with crisp handoffs and zero friction. Best regards, Amaan Khan L. (CUBEMOONS PVT.)

@yuliussmayoru

Hello! I’m excited about the opportunity to help integrate the AI functionality for your business messaging platform, Inboxx. Here’s how I would approach the project: AI Logic for Chat and Voice: I’ll design and implement AI logic that will power both chat and voice interactions, optimizing for real-world business messaging use cases. This will include developing conversational flows, context management, memory, and tool/function calling to ensure seamless conversations. LLM Integration: I’ll integrate large language models (LLMs) like OpenAI or Anthropic into your existing messaging system, making sure that the AI responds effectively to user queries and maintains context throughout the conversation. Voice AI Pipelines: If applicable, I’ll set up voice-to-text and text-to-voice pipelines, ensuring smooth communication for users who prefer voice interactions. Optimization and Tuning: I’ll fine-tune the AI components to deliver accurate and efficient responses, with a strong focus on business messaging requirements. Deliverables: - AI-powered chat and voice functionality - Integration of LLMs and voice pipelines - Well-documented conversational flows and memory management I have extensive experience with LLMs and conversational AI projects, and I’m comfortable working in a plug-in role, integrating cleanly into your existing backend. Let’s connect and get started with optimizing your platform for business messaging! Warm regards, Yulius Mayoru

@ZohaibRoy

⭐⭐⭐⭐⭐ AI Engineer for Chat and Voice Integration in Business Messaging ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and I see you're looking for an AI Engineer for your messaging platform. You don't need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects in AI integration. I will design and implement AI logic for chat and voice, ensuring smooth integration with your existing system. ➡️ Why Me? I can easily handle your AI integration tasks as I have 5 years of experience in AI development, focusing on LLMs, chatbots, and conversational AI. My expertise includes designing conversation flows, context management, and optimizing for real-world applications. I also have a strong grip on voice AI pipelines, ensuring a comprehensive solution for your needs. ➡️ Let's have a quick chat to discuss your project in detail. I can share samples of my previous work and how I can add value to your project. Looking forward to our chat! ➡️ Skills & Experience: ✅ AI Development ✅ LLM Integration ✅ Chatbot Design ✅ Voice AI Pipelines ✅ Conversation Flows ✅ Context Management ✅ Tool/Function Calling ✅ Real-World Optimization ✅ Python Programming ✅ API Integration ✅ Data Analysis ✅ Problem Solving Waiting for your response! Best Regards, Zohaib

@mobiwebsolutions

Hi There!!! THE GOAL OF THE PROJECT:- Integrate advanced AI chat and voice capabilities into an existing business messaging platform as a plug-in specialist. I have carefully read your project description and understand that you need a senior AI engineer to design and implement conversational AI logic, integrate LLMs, and build voice/text pipelines without handling full-stack or infra responsibilities. I am the best fit for this project because I can deliver clean, well-tested AI modules with optimized context management and function-calling tailored for real-world messaging use cases. My work directly matches your requirements through: 1. Integrating LLMs into existing chat systems 2. Designing prompt flows, context memory, and conversation tuning 3. Building voice-to-text and text-to-voice pipelines where applicable I provide testing, database handling for session memory, UI integration guidance, and full source code delivery at project completion. I have 9+ years experience as a full stack developer and have completed similar AI chat and voice projects using OpenAI, Anthropic, and other LLMs for business messaging platforms. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@prashjain92

Hello, I have carefully read your description and appreciate the clarity around this being a focused AI plug in role rather than a full stack or ownership position. The idea of integrating an AI brain into an already built business messaging platform is very appealing, and I am genuinely interested in understanding how you want the AI to enhance real world chat and voice conversations for businesses. I clearly understand that the scope is centered on designing and integrating conversational intelligence only, including prompt design, memory handling, context flow, tool calling, and optional voice pipelines, while cleanly fitting into an existing backend without disrupting infrastructure or product direction. I am comfortable operating in a defined scope with clean handoffs and practical outcomes. Conversational AI logic, chat and voice interaction flows, context and memory management, real world business messaging intelligence I have 7+ years of experience working with AI driven systems, conversational interfaces, and applied machine intelligence. I work well as a specialist contributor and integrate smoothly with existing engineering teams. Let us schedule a quick chat to align your vision and next steps. Best Regards, Prasham Jain

@hananea0

Hi, I’m an AI engineer specializing in chat and voice integration. I’ve built LLM-powered chatbots and voice assistants with context management, prompt design, and multi-agent coordination. I can plug into Inboxx and deliver clean, production-ready AI logic for chat + voice quickly. Tools/Models: OpenAI GPT, LLaMA 3, Whisper, TTS, LangGraph. Available immediately for contract work. Happy to share demos or past project examples. Best, Hanane

@Cprice07

Budget: $2,500 USD | Timeline: 15 days — integration of LLM-driven chat and optional voice pipelines into your existing Inboxx messaging platform. The main challenge is maintaining context, memory, and smooth conversation flows across multiple channels without touching the existing backend, so I’ll implement modular AI handlers with clear API contracts and robust prompt management. I’ll optimize both chat and voice interactions for real-world business use cases, including function/tool calling and text-to-voice pipelines where needed. The architecture will allow future enhancements—like additional AI tools or improved conversation memory—without disrupting your current system.

@chiragm078

As a seasoned AI engineer, my skills align perfectly with your project's requirements. I bring an immense experience of working with LLMs and chatbots, and I have a deep understanding of voice AI pipelines which is an added advantage. Over the years, I've honed my expertise to optimize AI solutions for real-world business use cases, a skill that would be invaluable to your business messaging platform. What distinguishes me from the rest is not just my AI proficiency but also the comprehensive knowledge I possess in full-stack development. Familiarity with your backend system won't be an issue for me as I can integrate seamlessly into any existing architecture. My previous projects have seen me successful as a plug-in specialist rather than wearing the hat of a generalist and that's exactly what you need for this role. Choosing me would mean ensuring "clear scope, clean handoffs, no politics." Client satisfaction has always been my priority and my team believes in quick turnaround time to provide inclusive support across time zones. Let's collaborate on your Inboxx project and transform it into an exceptional reality that meets all your business goals.

@Kashifscode

Hello, With my multi-faceted knowledge and extensive experience in the fields of AI, chatbots, and conversational technologies, I happily offer my services for your AI plug-in role for Inboxx. Having successfully worked on similar projects, I understand the nuances of delivering efficient and streamlined AI capabilities in existing backend systems. The fact that you're not looking for a generalist but rather a specialist like myself, speaks to how well our interests align. Working smoothly and effectively as a part of your team is my utmost priority and I am confident that my skills, like the utilisation of LLMs from OpenAI/Anthropic/similar sources and proficiency with voice AI pipelines, would add great value to your project. Additionally, I bring with me a strong background in ML using libraries like TensorFlow and PyTorch, which would come in handy when optimizing real-world business messaging use cases. Considering that this engagement has a potential for further projects, you can expect reliable handoffs, clear scope delineation, no politics, and smooth collaboration throughout. My preferred mode of projects is contract-based but I am flexible with respect to duration too. All in all, by choosing me for this engagement, you place your faith in a seasoned professional who is passionate about AI advancements and committed to delivering results with precision and quality. Let's synergize our efforts to create an outstanding product with Inboxx! Thanks!

@novatech2210

Hello! I've been recommended by a Freelancer Recruiter, nice to meet you, Van. I've just completed a similar chatbot integration for a business communication platform that needed seamless LLM integration for improved customer support. As a seasoned AI engineer with a strong focus on clean code, performance, and meeting deadlines, I'm confident that I can design and implement the AI logic for chat and voice in Inboxx, integrating LLMs into your existing messaging system while optimizing for real-world business use cases. With my experience in chatbot development, I'm well-versed in integrating cleanly into existing backends, using OpenAI and other LLMs, and building voice-to-text and text-to-voice pipelines. In a previous project, I reduced manual work by 60% by implementing an AI-powered chat workflow, and I'm excited to bring similar expertise to Inboxx. Multiple 5-star reviews on real-time voice AI apps and OpenAI API integrations speak to my skills and reliability. To ensure a smooth project, I'd love to clarify the preferred tech stack and any specific voice AI pipeline requirements. Would you be open to using OpenAI's latest API or Anthropic's models for this project? Also, are there any specific timeline priorities or milestones we should focus on? Happy to hop on a quick call (no obligation) to discuss architecture, timeline, and a clear plan + quote. Chris | Lead Developer | Novatech

@NazarKanteruk

Hi there, I'm excited about the opportunity to seamlessly integrate advanced AI capabilities into your business messaging platform. I have hands-on experience building and optimizing LLM-driven chat and voice solutions, including conversation flows, context management, and tool integration—precisely the plug-in expertise you're seeking. I'd love to discuss how I can add value to Inboxx, leveraging proven tools and best practices for efficient, real-world performance. Ready to jump in with clear deliverables and zero hassle! Looking forward to sharing relevant projects and next steps.

@milosm25

✅⭐⭐⭐✅ I am ready to make your project a complete success! ✅⭐⭐⭐✅ I’ve analyzed your requirements, and this is a well-scoped AI integration project where LLMs, chat, and voice pipelines are the focus. The goal is to plug an AI “brain” into your existing Inboxx messaging platform, implementing conversational flows, context management, and optional voice-to-text/text-to-voice pipelines for business messaging use cases. My approach is to leverage OpenAI / Anthropic LLMs for natural language understanding and generation, design robust prompting and conversation flows, manage session memory and context efficiently, and integrate tool/function calling for backend operations. If voice is included, I will implement reliable voice-to-text and text-to-voice pipelines using industry-standard libraries while ensuring clean integration with your backend APIs. You’ll receive a fully functioning AI layer, tested for realistic business messaging scenarios, with clean, well-commented code and integration instructions so your team can maintain and extend it. Looking forward to work with you for your project. Thank you !

@draganm59

As a senior Full Stack Software Engineer with over a decade of delivering high-performance solutions, I am confident in my ability to tackle the AI brains your messaging platform needs. My experience spans various domains such as CRM, CMS, and even intelligent systems powered by AI/ML. In particular, I have worked extensively on building and integrating Language Models (LLMs) including OpenAI and Anthropic, which is directly relevant to the role you are offering. With regard to chatbots and conversational AI, I have hands-on experience that has helped me understand and navigate the complexities involved in optimization for real-world business messaging use cases. While my familiarity with voice AI pipelines serves as a valuable add-on, what makes me an ideal fit for this project is my ability to cleanly integrate into existing backends like yours. Like your requirement mentions, I am a specialist in plugging in rather than generalization. I propose an engagement based on contract or project with clear scope and clean handoffs. My availability is flexible and if given this opportunity, I assure you of consistent dedication and high-quality work delivered on time. Let's optimize your Inboxx platform!

@kirills31

Hey there. Do you already have a conversation state model in place, or should the AI layer own memory and context boundaries per thread and per channel (SMS, chat, voice)? For voice, are you expecting real time streaming with barge in, or async voice notes with STT then TTS on reply? I specialize in exactly this kind of plug in AI role. I drop an AI brain into an existing messaging platform without touching infra or product scope. The real work here is not calling an LLM, it is controlling context, memory decay, tool calls, and failure modes so the AI behaves predictably in business conversations. My usual approach is a thin AI orchestration layer: structured prompts, per thread memory rules, explicit tool contracts, and guardrails for handoff, silence, retries, and escalation. For chat, that means clean prompt stacks and deterministic tool calling. For voice, it means reliable STT, response timing, and TTS that sounds natural but stays fast. I have worked with OpenAI and Anthropic style models, function calling, retrieval light memory, and voice pipelines where latency actually matters. Hope to discuss more on chat. Best, Kirill

@naseeb1995

As an AI and Automation Specialist with over a decade of experience, I’ve spent the majority of my career designing and implementing sophisticated AI systems. I can leverage this expertise to seamlessly integrate LLMs into your existing messaging system and tune it for real-world business use cases. My familiarity with voice AI pipelines further bolsters my ability to optimize the voice-to-text and text-to-voice pipelines as necessary. What sets me apart from other candidates is my deep understanding of how to design intelligent systems that reduce costs, improve efficiency, and scale growth without increasing headcount. This aligns perfectly with the plug-in role you've described, as I can deliver precisely what you require without diluting your existing infrastructure. To top it all off, my preferred engagement type is project-based with clear scopes and clean handoffs – no politics involved. You'll receive quality work within the agreed timeframe, avoiding any unwelcome surprises or conflicts. Allow me to inject that added intelligence into Inboxx and take its capabilities in chat and voice domains to the next level of excellence. The success of businesses you serve through Inboxx remains my topmost priority;..........