RAG/AI/ML CTO/Engineer/Developer - REDACTED

@LiveExperts

Hello, As a seasoned team lead at Live Experts, with an impressive seven-plus years of building and designing production software systems, I am well-versed in the technicalities of your project. My proficiency spans across multiple programming languages including Python and TypeScript, equipping me with the ability to impeccably architect APIs, backend services and navigate multi-tenant SaaS architecture which aligns perfectly with Cleo’s AI employee platform pursuits. Throughout my career, I have proven time and again that I am a 'builder first'. My methodology is entirely centered around ensuring your entrepreneurial vision becomes a tangible reality. Choose me for this role to have someone who will take full ownership of not just AI/ML Systems but also the Platform & Backend, DevOps & Infrastructure, and Technical Leadership - which means you get holistic expertise devoid of outsourcing. And let's not forget this highly appealing zero-to-one experience that Cleo is specifically looking out for, setting me ahead of the crowd when it comes to imagining and building platforms from scratch. Working with me guarantees that you are making no compromise on the reliability, scalability, performance or cost optimization of your infrastructure. Together, we can create enterprise-grade solutions that fit flawlessly within the context of Cleo's vision for an autonomous employee platform. Thanks!

@AwaisChaudhry

Hello Cleo team, I understand you’re building an AI employee platform and need a hands-on Builder CTO who can architect the platform, write production code, design AI agent systems, and own infrastructure end-to-end. My plan is to deliver a clear architecture and a minimal yet scalable MVP: an AI worker runtime with agents, memory, and tool access; a robust RAG stack for live data and documents; a cost-aware LLM orchestration; a secure multi-tenant backend with auth, billing, and audit logs; and cloud infrastructure with monitoring and automated deployment. I’ll make fast, practical decisions, ship in small, testable components, and set standards for coding, testing, and security. What I’d like to confirm with you now: What is the top priority for the first 90 days (core agent runtime, RBAC, multi-tenant infra, or something else)? Do you prefer self-hosted or managed LLMs for the initial deployment, and what governance constraints apply? What are target latency, throughput, and monthly cost for the MVP? How will you measure success for safety, hallucination, and compliance in production? How do you see team growth and code ownership evolving as you scale? What is the single most critical milestone you want to hit in the first 90 days? Best regards,

@ZohaibRoy

⭐⭐⭐⭐⭐ Create an AI Employee Platform as a Hands-On Builder CTO ❇️ Hi My Friend, I hope you're doing well. I reviewed your project needs and see you are looking for a hands-on Builder CTO. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects in AI and machine learning. I will design and build the AI employee runtime, ensuring a robust backend and cloud infrastructure while keeping costs efficient. ➡️ Why Me? I can easily do your project as I have over 7 years of experience in building production software systems, specializing in AI and backend engineering. My expertise includes Python, TypeScript, and managing cloud infrastructure. I have a strong grip on LLMs and RAG architectures, ensuring I can deliver the best solutions for your needs. ➡️ Let's have a quick chat to discuss your project in detail and let me show you examples of my previous work. Looking forward to connecting with you! ➡️ Skills & Experience: ✅ Python ✅ TypeScript ✅ AI / ML Systems ✅ RAG Architectures ✅ Vector Databases ✅ REST / GraphQL APIs ✅ PostgreSQL ✅ Docker ✅ CI/CD ✅ Cloud Infrastructure (AWS/GCP/Azure) ✅ Authentication Systems ✅ Observability Waiting for your response! Best Regards, Zohaib

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Statistics, Data Mining, R Programming Language, Statistical Analysis, Data Science, Data Analysis, Data Modeling, Predictive Analytics and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@AmazingEngr76386

As a seasoned tech-savvy professional with over 7 years of experience, I am the right person for the job. I have not only mastered a wide array of technologies from Python to TypeScript but also honed my skills utilizing large language models (LLMs) in production settings- an essential requirement for this role. My vast backend engineering background also ensures that I can own the infrastructure end-to-end while providing multi-tenant SaaS architecture when needed. My commitment to excellence and my pragmatic approach complement what Cleo is aiming to achieve with this AI employee platform. From designing agent architectures to building authentication and authorization components, I have a strong vision for translating complex business challenges into robust technical solutions. Moreover, having worked on projects ranging from Blockchain platforms to 3D visualizations, I bring diverse problem-solving perspectives that will be invaluable in guiding your technical strategy. Given my entrepreneurial experience and proficiency in managing both small and large-scale projects, I am fully capable of handling the responsibilities as a founder-level CTO while providing hands-on contributions, just as you require. Let's drive Cleo's ambitious vision forward together!

@Solutionzhere

With over 7 years of experience in building complex AI and ML systems, Abdul Karim at Solutionzhere brings a unique blend of expertise to your project. Our strong backend engineering background combined with a deep knowledge of LLMs checks off the crucial boxes for your platform. We specialize in providing end-to-end solutions and have a proven ability to own infrastructure consistently from start to finish, exactly what you need for laying the foundation of your RAG/AI/ML platform. Let's talk details over chat and call. Cheers.

@hireageek

Hi there, I’m thrilled at the opportunity to work with Cleo in building your innovative AI employee platform. With over 7 years of hands-on experience in creating robust production systems, I am well-prepared to take on the role of Builder CTO. My background includes designing complex AI architectures and implementing end-to-end infrastructure, ensuring reliability and scalability with a focus on delivering tangible results without the red tape. Having worked extensively with AI/ML systems, including RAG frameworks and LLM deployments, I can architect and code the necessary components from the ground up. I’m dedicated to making informed, fast, and pragmatic decisions, which align perfectly with your vision of a leader who is a builder first and a manager second. Together, we can create an extraordinary platform that combines cutting-edge technology with practical application. What are your immediate priorities for the initial phase of development? Can you clarify the key performance metrics that you consider essential for the AI employee platform? What are your expectations for the first few months of development?

@GdevDataSceince

Gopal, at your service! With over 14 years of experience in Data Science and proficient in Python, Machine Learning frameworks (TensorFlow, PyTorch, sklearn, etc.), RAG architectures, and robust backend engineering, I have the ideal blend of skills required for your project. My expertise extends to developing ML models, optimizing hyperparameters, and designing APIs using PostgreSQL and Redis in addition to cloud infrastructure management with AWS and GCP. My experience in working on zero-to-one projects resonates strongly with Cleo's entrepreneurial spirit. I've built AI-based applications from scratch before and guided them through to production - a task similar to your AI Employee platform. I'm not just an expert at coding but also at architecting systems end-to-end. This comprehensive skillset is essential for the kind of ownership this role demands. Besides technicality, 'leadership' also holds a special place in my skill belt - setting vision-roadmaps, mentorship, representing tech strategy to stakeholders - I dig all these responsibilities! And yes, I am genuinely more thrilled by the act of shipping than tedious planning. So if you need a seasoned professional who can deliver operational autonomy to your venture with competence and innovation, don't look further

@Feriver

Hi, I will act as a hands-on Builder CTO to architect and ship the AI employee platform end to end. I design agent runtimes, RAG systems, and LLM orchestration, while owning multi-tenant backend, auth, billing, and audit logs. I build and operate cloud infrastructure with CI/CD, observability, and cost control, making fast, opinionated decisions to deliver secure, scalable production systems from zero to one. Regards, Soas

@vorasiddh4it

Hello Cleo team, I’m a hands-on Builder CTO / Software Services Provider with deep production experience shipping AI agent platforms, RAG systems, LLM orchestration, and cloud-native SaaS from zero → users. I design the architecture, write the core code, and own infra end-to-end. I can show demo code for agents, tool-calling, vector search, and eval pipelines — then we close the deal. How I’ll build Cleo’s AI employee platform: 1️⃣ AI Runtime: agents, tools, memory, permissions (RBAC) 2️⃣ RAG: embeddings, vector DB (FAISS/Chroma/Pinecone), live data 3️⃣ LLM Orchestration: routing, evals, cost/latency control 4️⃣ Backend: multi-tenant SaaS, auth, billing, audit logs 5️⃣ Infra: Docker, CI/CD, AWS/GCP, monitoring, autoscaling Techniques & Stack: Python, TypeScript OpenAI/Anthropic + open LLMs Prompting, tool-calling, guardrails REST/GraphQL, PostgreSQL, Redis Docker, CI/CD, observability Relevant Projects: ✅ Autonomous AI Agent Workforce Platform ✅ Enterprise RAG + Knowledge Graph Engine ✅ Multi-Tenant LLM Orchestration SaaS Deliverables (Phase 1): ✔ Production-ready AI runtime ✔ RAG pipeline + eval framework ✔ Deployed cloud infra + CI/CD If you want a builder who ships fast with founder-level ownership, share your repo/vision and I’ll start with a live demo + architecture plan to prove fit.

@ail5a9f298b597ed

I am a seasoned technology leader with deep expertise in building end‑to‑end AI SaaS platforms, having architected multi‑tenant systems that integrate LLM orchestration, RAG pipelines, and robust backend services in Python and TypeScript. I will design the AI employee runtime, define agent memory and permission models, implement scalable RAG and evaluation frameworks, and construct enterprise‑grade infrastructure—including auth, billing, audit logs, and automated monitoring—while making fast, opinionated decisions on model selection, fine‑tuning, and hosting strategies. My hands‑on approach ensures production‑ready code, secure cloud deployments, and cost‑effective inference at scale, aligning perfectly with Cleo’s vision for an autonomous AI workforce.

@revival786

Greetings! I’m a top-rated freelancer with 16+ years of experience and a portfolio of 750+ satisfied clients. I specialize in delivering high-quality, professional AI employee platform building services tailored to your unique needs. Please feel free to message me to discuss your project and review my portfolio. I’d love to help bring your ideas to life! Looking forward to collaborating with you! Best regards, Revival

@Kashifscode

Hello, As a seasoned builder with over 7 years of experience, I'm highly adept at designing and developing robust, scalable software systems. What sets me apart is my deep expertise in AI and ML, particularly within LLMs in production - a specific skill set that aligns perfectly with your project needs. I have a keen understanding of backend engineering and have successfully owned end-to-end infrastructure in the past. Moreover, my technical leadership capacity means that your project will benefit from my ability to set a clear vision and roadmap while making fast, pragmatic architecture decisions - ensuring optimal output. Comfortable with Python, TypeScript, as well as AI frameworks like OpenAI and Anthropic, I am also well-acquainted with RAG architectures and vector databases that underpin your project's requirements. Importantly, my exposure to cloud platforms like AWS/GCP/Azure matches your cloud infrastructure design needs seamlessly. Lastly, I believe that action speaks louder than words and understand the importance of shipping products. More than anything else, I am an engineer who thrives on seeing my work translated into reality; this meticulousness ensures a solution-oriented approach that never compromises on quality or scalability. Experience Kubernetes? We'll leverage it if it best suits the project needs! Looking forward to building something great together at Cleo! Thanks!

@DngPhgNam

⭐⭐⭐⭐⭐ ✅Hi there, hope you are doing well! I have extensive experience building AI-driven platforms with autonomous agent systems, including architecting full AI employee runtimes and RAG pipelines that scale efficiently in production environments. The key to successfully completing this project is deeply understanding and architecting AI agent systems integrated with robust infrastructure and end-to-end cloud deployment. Approach: ⭕ Architect the AI employee platform focusing on agent runtime, tools, and memory management. ⭕ Build scalable RAG and knowledge systems using vector DBs and prompt guardrails. ⭕ Implement multi-tenant SaaS backend with auth, billing, and audit logs. ⭕ Own cloud infrastructure with optimized CI/CD, monitoring, and cost control. ⭕ Make fast, pragmatic decisions about model selection, hosting, and workflows. ❓ Could you share your preferred cloud platform and current AI toolset? ❓ What is the target timeline for the MVP launch? ❓ Are there specific compliance or security requirements? I am confident my hands-on expertise and pragmatic approach will deliver a robust and scalable AI employee platform that aligns with your founder-level vision. Best regards, Nam

@softsolution2000

I am confident that my skills in Statistics, Data Mining, R Programming Language, Statistical Analysis, and Data Science make me a great match for the RAG/AI/ML CTO/Engineer/Developer role. I have over 15 years of experience in building production software systems and a strong background in LLMs in production. I am comfortable working solo and possess deep expertise in backend engineering. I am eager to discuss the full project scope and adjust the budget accordingly. Let's start this exciting project together. Please go through my profile to see the work I've done over the years. Looking forward to hearing from you.

@sekai1116

Hello, I’m very excited about the opportunity to join Cleo as a hands-on Builder CTO. I specialize in building production-grade AI platforms from zero to one, combining deep expertise in LLM systems, RAG pipelines, and enterprise backend infrastructure with a builder-first mindset. I bring experience in: AI/ML Systems: Designing agent architectures, tool-calling workflows, embeddings, vector databases (FAISS, Pinecone, Chroma), and RAG pipelines with cost/performance optimization. Backend & Platform: Building scalable REST/GraphQL APIs, multi-tenant SaaS systems, RBAC auth, and database schemas using Python, TypeScript, PostgreSQL, and Redis. Cloud & DevOps: Full ownership of deployments, CI/CD, monitoring, containerization, and cost-optimized cloud infrastructure on AWS/GCP/Azure. Technical Leadership: Making fast, pragmatic decisions, setting architecture standards, and shipping production systems independently in high-ambiguity startup environments. I thrive in solo-builder roles with founder-level responsibility, shipping systems rather than just planning, and I’m confident I can architect and implement Cleo’s AI employee platform end-to-end. Best regards, Jiayin

@juanjosec63

Hello, I’m excited about the opportunity to help build Cleo as a true AI employee platform from first principles. With deep hands-on experience shipping production LLM systems, designing agent runtimes, RAG pipelines, and owning backend and cloud infrastructure end to end, I can personally architect and implement the core platform while making fast, opinionated technical decisions that balance reliability, cost, and speed. I’m a builder first and comfortable working solo at the zero-to-one stage, writing production code across AI orchestration, multi-tenant SaaS backends, and cloud deployments, while laying a foundation that scales cleanly as the team grows. You can expect pragmatic system design, rapid iteration, and a CTO-level technical owner who ships, not delegates, and can clearly articulate the technical strategy to founders and stakeholders. Best regards, Juan

@codefusion53

Hi I’m a hands on builder who has designed and shipped production AI systems end to end, and this role maps closely to how I already work. I’m comfortable owning architecture, writing core code, and making fast opinionated decisions around agents, RAG, and infrastructure without hiding behind process or delegation. I have deep experience building LLM powered platforms in production, including agent runtimes with tool calling and memory, RAG pipelines over documents and APIs, and evaluation loops that balance quality, latency, and cost. I’ve designed multi tenant SaaS backends with strong auth, permissions, audit logs, and billing, and I’ve owned cloud infrastructure from first deployment through scaling, monitoring, and cost control. My focus is practical AI systems that businesses actually trust and use. I’m not research focused and I don’t over engineer. I ship, measure, iterate, and tighten guardrails as real usage grows. I’m comfortable starting solo, setting technical direction, and evolving the platform foundation that future engineers can build on. This is exactly the kind of zero to one technical ownership I’m looking for. Best, Justin

@EIIIIII

I work on weekends for a Florida-based technology company with millions of queries (Kubernetes Scale). I've also had the opportunity to work with major companies in Spain before, so I have great references. You need to add IaC. Let’s set up a meeting.