Agentic AI & RAG Platform Development
Budget: €1,500 – €3,000 EUR
Project Overview
We are seeking a motivated AI Engineer / Machine Learning Engineer to develop a modular Agentic AI platform powered by Retrieval-Augmented Generation (RAG). The objective is to build a research-oriented and implementation-focused system capable of intelligent document retrieval, multi-agent orchestration, tool invocation, memory management, and autonomous workflow execution.
The project is structured into six sequential milestones. The engagement is designed as a part-time commitment and is suitable for freelancers who can consistently contribute over an extended period while maintaining high-quality deliverables.
Total Fixed Price Compensation
€1,800
Payment Terms
The total fixed-price compensation of €1,800 will be released upon successful completion and acceptance of all six milestones and delivery of the final integrated platform, documentation, and source code repository.
Expected Commitment
* Part-time engagement
* Approximately 80–100 hours of effort per milestone
* Approximately 480–600 total project hours
* Maximum Project Completion Window: 180 Calendar Days
Required Skills
* Python
* Retrieval-Augmented Generation (RAG)
* Agentic AI Systems
* LangChain
* LangGraph
* LlamaIndex
* Vector Databases
* Large Language Models
* Prompt Engineering
* Docker
* Git
Milestone 1 – Knowledge Infrastructure & Data Ingestion
Maximum Time for Milestone Completion: 30 Calendar Days
Estimated Effort: 80–100 Hours
Deliverables:
* System architecture specification
* Knowledge repository design
* Document ingestion framework
* Text preprocessing pipeline
* Embedding generation workflow
* Initial vector database implementation
* Technical design documentation
Milestone 2 – Retrieval & Search Optimization
Maximum Time for Milestone Completion: 30 Calendar Days
Estimated Effort: 80–100 Hours
Deliverables:
* Hybrid retrieval implementation
* Metadata filtering support
* Query expansion mechanisms
* Retrieval reranking pipeline
* Chunking strategy optimization
* Retrieval evaluation framework
Milestone 3 – Multi-Agent Architecture
Maximum Time for Milestone Completion: 30 Calendar Days
Estimated Effort: 80–100 Hours
Deliverables:
* Agent orchestration framework
* Planning agent
* Retrieval agent
* Reasoning agent
* Response generation agent
* Agent communication workflow
Milestone 4 – Tool Integration & Autonomous Workflows
Maximum Time for Milestone Completion: 30 Calendar Days
Estimated Effort: 80–100 Hours
Deliverables:
* Tool registry framework
* External API integrations
* Tool selection logic
* Task decomposition workflows
* Autonomous execution pipeline
* Session management components
Milestone 5 – Evaluation, Monitoring & Optimization
Maximum Time for Milestone Completion: 30 Calendar Days
Estimated Effort: 80–100 Hours
Deliverables:
* Evaluation datasets
* RAG benchmarking framework
* Hallucination analysis module
* Monitoring dashboard
* Performance optimization report
Milestone 6 – Production Readiness & Final Delivery
Maximum Time for Milestone Completion: 30 Calendar Days
Estimated Effort: 80–100 Hours
Deliverables:
* Containerized deployment package
* Complete source code repository
* User documentation
* Architecture diagrams
* Installation guide
* Final technical report
We are seeking a motivated AI Engineer / Machine Learning Engineer to develop a modular Agentic AI platform powered by Retrieval-Augmented Generation (RAG). The objective is to build a research-oriented and implementation-focused system capable of intelligent document retrieval, multi-agent orchestration, tool invocation, memory management, and autonomous workflow execution.
The project is structured into six sequential milestones. The engagement is designed as a part-time commitment and is suitable for freelancers who can consistently contribute over an extended period while maintaining high-quality deliverables.
Total Fixed Price Compensation
€1,800
Payment Terms
The total fixed-price compensation of €1,800 will be released upon successful completion and acceptance of all six milestones and delivery of the final integrated platform, documentation, and source code repository.
Expected Commitment
* Part-time engagement
* Approximately 80–100 hours of effort per milestone
* Approximately 480–600 total project hours
* Maximum Project Completion Window: 180 Calendar Days
Required Skills
* Python
* Retrieval-Augmented Generation (RAG)
* Agentic AI Systems
* LangChain
* LangGraph
* LlamaIndex
* Vector Databases
* Large Language Models
* Prompt Engineering
* Docker
* Git
Milestone 1 – Knowledge Infrastructure & Data Ingestion
Maximum Time for Milestone Completion: 30 Calendar Days
Estimated Effort: 80–100 Hours
Deliverables:
* System architecture specification
* Knowledge repository design
* Document ingestion framework
* Text preprocessing pipeline
* Embedding generation workflow
* Initial vector database implementation
* Technical design documentation
Milestone 2 – Retrieval & Search Optimization
Maximum Time for Milestone Completion: 30 Calendar Days
Estimated Effort: 80–100 Hours
Deliverables:
* Hybrid retrieval implementation
* Metadata filtering support
* Query expansion mechanisms
* Retrieval reranking pipeline
* Chunking strategy optimization
* Retrieval evaluation framework
Milestone 3 – Multi-Agent Architecture
Maximum Time for Milestone Completion: 30 Calendar Days
Estimated Effort: 80–100 Hours
Deliverables:
* Agent orchestration framework
* Planning agent
* Retrieval agent
* Reasoning agent
* Response generation agent
* Agent communication workflow
Milestone 4 – Tool Integration & Autonomous Workflows
Maximum Time for Milestone Completion: 30 Calendar Days
Estimated Effort: 80–100 Hours
Deliverables:
* Tool registry framework
* External API integrations
* Tool selection logic
* Task decomposition workflows
* Autonomous execution pipeline
* Session management components
Milestone 5 – Evaluation, Monitoring & Optimization
Maximum Time for Milestone Completion: 30 Calendar Days
Estimated Effort: 80–100 Hours
Deliverables:
* Evaluation datasets
* RAG benchmarking framework
* Hallucination analysis module
* Monitoring dashboard
* Performance optimization report
Milestone 6 – Production Readiness & Final Delivery
Maximum Time for Milestone Completion: 30 Calendar Days
Estimated Effort: 80–100 Hours
Deliverables:
* Containerized deployment package
* Complete source code repository
* User documentation
* Architecture diagrams
* Installation guide
* Final technical report