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