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Senior AI/ML Architect & Full-Stack Engineer (Agentic AI, Claude, GHL, FFmpeg, Python & Node.js)

Budżet: $500.0 FIXED / ⭐ 5.00 (1) Pakistan

deep-learning, computer-vision, python, node.js, machine-learning, javascript, ffmpeg

We are looking for a highly experienced AI/ML Architect and Senior Full-Stack Engineer to design and build a production-grade intelligent platform that combines Agentic AI, Machine Learning, Claude AI, video processing, CRM automation, financial systems, and scalable cloud infrastructure. This is a complex greenfield project requiring deep expertise in AI orchestration, distributed systems, backend architecture, workflow automation, and enterprise integrations. The ideal candidate should be capable of owning architecture decisions, implementation, deployment, and long-term scalability. Scope of Work: Design and implement a scalable microservices architecture. Build Agentic AI systems capable of planning, reasoning, memory management, tool usage, and autonomous task execution. Integrate Anthropic Claude for conversational AI, document processing, workflow automation, and decision support. Develop machine learning pipelines for prediction, classification, recommendation engines, and business intelligence. Implement RAG (Retrieval-Augmented Generation) architectures with vector databases and long-term memory. Build multi-agent systems using frameworks such as LangGraph, CrewAI, AutoGen, or similar technologies. Create AI orchestration layers that coordinate multiple models, APIs, tools, and workflows. Design secure API gateways, event-driven services, and asynchronous processing pipelines. Develop advanced video processing services using FFmpeg, including: Video transcoding Compression Clipping Watermarking Thumbnail generation HLS streaming Automated media workflows Integrate GoHighLevel (GHL) for: CRM synchronization Lead management Pipeline automation Appointment scheduling SMS and communication workflows Integrate Xero for: Invoice generation Customer synchronization Payment reconciliation Financial reporting Automated accounting workflows Build monitoring, logging, analytics, and operational dashboards. Design systems capable of handling high-volume workloads and future scaling requirements. Required Skills: Artificial Intelligence & Machine Learning Python PyTorch TensorFlow Scikit-learn LangGraph LangChain CrewAI AutoGen Vector Databases RAG Architectures Claude API Multi-Agent Systems Prompt Engineering LLM Fine-Tuning Backend Development Node.js TypeScript NestJS Express.js FastAPI REST APIs GraphQL WebSockets Event-Driven Architecture Databases & Storage PostgreSQL MongoDB Redis Elasticsearch Pinecone Weaviate ChromaDB Video Processing FFmpeg HLS Streaming Video Encoding Video Optimization Media Processing Pipelines Cloud & DevOps AWS, Azure, or GCP Docker Kubernetes CI/CD Pipelines Infrastructure as Code Monitoring & Observability Third-Party Integrations Anthropic Claude GoHighLevel (GHL) Xero Twilio Stripe Webhooks External APIs Ideal Experience: Building AI SaaS platforms. Developing autonomous Agentic AI systems. Creating multi-agent architectures. Designing distributed backend systems. Implementing workflow automation platforms. Working with large-scale CRM and accounting integrations. Developing video-heavy applications and media processing pipelines. Deliverables: Complete system architecture and technical documentation. Production-ready backend services. Agentic AI framework implementation. Claude integration layer. Machine learning infrastructure. FFmpeg media processing services. GoHighLevel integration platform. Xero invoicing and accounting automation. Monitoring, logging, and analytics systems. Deployment and DevOps setup. Fully documented APIs and workflows. To Apply, Please Include: Examples of Agentic AI or autonomous AI systems you have built. Experience with Claude, LangGraph, CrewAI, AutoGen, or similar frameworks. Examples of GoHighLevel and Xero integrations. Previous FFmpeg or large-scale video processing projects. Your preferred architecture for a platform of this complexity. Experience using both Python and Node.js in production environments. Estimated timeline and recommended team size. This is a senior-level project requiring strong architecture, AI, backend, and integration expertise. We are looking for a long-term partner who can help build and scale the platform from concept to production.
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