Multi-Agent Workflow Automation PipelineKaran Singh
Design and implement orchestrating multi-step, tool-using AI agents that plan tasks, invoke code or external APIs, and execute complex automated sequences autonomously.
MVP: A two-agent collaborative workflow (e.g., Researcher + Writer agent) completing a multi-step task.
Pricing (One-time): $4,899
Timeline: 14–28 days
What You Get:
Custom agent graph architecture (using LangGraph or native Python state machines).
Tool-calling layers.
Error recovery loops, fallback handling, and execution logging.
FastAPI wrapper to trigger and monitor agent execution states.
How We Work Together (Our Workflow)
Requirements -> Project request sent to me
Planning -> Research & implementation plan creation
Verification -> Plan review & client sign-off
Execution -> Development with 24-hr regular updates & upfront optimizations
Testing -> Live link deployment for client testing & feedback
Handover -> Final 50% payment & project delivery
Important Notes:
Payment: 50% upfront before the project commences within 24-48hrs of the payment successful.
Infrastructure Costs: All third-party costs—including LLM API tokens, vector database hosting, cloud deployment servers, and GPU compute—are to be paid directly by the client.
The given pricing and timings are based on standard requirements, both can vary depending on your specific custom needs.
FAQs
Starting at$4,899
Duration4 weeks
Tags
FastAPI
LangGraph
Multi-Agent Systems
Python
API Integration
Backend Engineer
Business Workflow Automation
frontend Development
LLM Pipelines
Service provided by
Karan Singh Kangra, India
- 13
- Followers
Multi-Agent Workflow Automation PipelineKaran Singh
Starting at$4,899
Duration4 weeks
Tags
FastAPI
LangGraph
Multi-Agent Systems
Python
API Integration
Backend Engineer
Business Workflow Automation
frontend Development
LLM Pipelines
Design and implement orchestrating multi-step, tool-using AI agents that plan tasks, invoke code or external APIs, and execute complex automated sequences autonomously.
MVP: A two-agent collaborative workflow (e.g., Researcher + Writer agent) completing a multi-step task.
Pricing (One-time): $4,899
Timeline: 14–28 days
What You Get:
Custom agent graph architecture (using LangGraph or native Python state machines).
Tool-calling layers.
Error recovery loops, fallback handling, and execution logging.
FastAPI wrapper to trigger and monitor agent execution states.
How We Work Together (Our Workflow)
Requirements -> Project request sent to me
Planning -> Research & implementation plan creation
Verification -> Plan review & client sign-off
Execution -> Development with 24-hr regular updates & upfront optimizations
Testing -> Live link deployment for client testing & feedback
Handover -> Final 50% payment & project delivery
Important Notes:
Payment: 50% upfront before the project commences within 24-48hrs of the payment successful.
Infrastructure Costs: All third-party costs—including LLM API tokens, vector database hosting, cloud deployment servers, and GPU compute—are to be paid directly by the client.
The given pricing and timings are based on standard requirements, both can vary depending on your specific custom needs.
FAQs
$4,899