Advanced Research AI Agent Development

IWe are building a high-performance AI agent ecosystem designed to automate and enhance research, marketing, legal analysis, and strategic decision-making.

This is not a chatbot project.
We are looking for someone who can design and deploy a structured, multi-agent system capable of performing deep, iterative online research and producing decision-ready outputs.

The objective is to replace fragmented workflows with a coordinated system of AI agents that can independently investigate topics, validate information, and generate high-quality insights in real time.


Scope of Work

You will design and implement a system of specialized AI agents, including:

1. Research Agent (Core Component)

This is the most critical part of the system.

The agent must be capable of:

* Performing multi-step, iterative online research (not single queries)
* Autonomously refining search queries based on findings
* Extracting and synthesizing information from multiple independent sources
* Identifying contradictions, gaps, and inconsistencies
* Evaluating source credibility and reliability
* Producing structured, decision-grade insights (not summaries)


2. Marketing & SEO Agent

* Analyze competitors, search intent, and content gaps
* Generate high-ranking content strategies
* Optimize for both:
* Traditional search (Google)
* AI/LLM discovery (ChatGPT, Perplexity, etc.)
* Continuously improve outputs based on performance signals

3. Legal & Compliance Agent

* Perform cross-jurisdictional legal research
* Analyze regulations, frameworks, and obligations
* Structure legal arguments and risk assessments
* Compare legal interpretations across countries

4. Strategy & Decision Agent

* Combine outputs from all agents
* Identify highest-impact actions
* Prioritize execution based on ROI and risk
* Deliver clear, structured recommendations


Data the System Will Process

The agents will work with a combination of:

Deep Online Research Data (Primary)

* Official legal and regulatory sources
* Competitor websites and market data
* Search engine results and SEO signals
* Industry publications and authoritative sources

Agents must perform iterative research loops:
Search → Extract → Analyze → Refine → Re-search


Internal & Text Data

* Documents, policies, and internal materials
* Marketing and SEO content
* Research reports


Structured Data

* Analytics (conversion, funnels, performance)
* SEO datasets (keywords, rankings)
* Operational data

System-Generated Intelligence

* Research chains and query iterations
* Source validation scoring
* Cross-agent insights and outputs
* Memory and feedback loops

Technical Requirements

You must have strong experience with:

* Multi-agent system design or orchestration frameworks
* LLM integration (OpenAI, Claude, or similar)
* Building iterative research systems (agentic workflows)
* Data extraction, structuring, and synthesis
* Backend/API integration (any modern stack; Laravel experience is a plus)

Strong advantage if you have built:

* Autonomous research agents
* SEO/content automation systems
* Legal analysis tools
* Decision-support systems

Non-Negotiable Requirements

* This is not a basic chatbot or single-prompt system
* Must support deep, multi-step research workflows
* Must include source validation and credibility scoring
* Must reduce hallucinations and ensure output reliability
* Must produce consistent, high-quality outputs at scale

Deliverables

* Full system architecture (agents, workflows, memory, validation)
* Implementation of all agents
* Research loop and orchestration logic
* Output validation and scoring system
* Documentation for internal use
* Scalable foundation for future expansion

How to Apply

To be considered, you must:

1. Explain how you would design a multi-agent system with deep online research capability
2. Describe how you would implement:
* Iterative search loops
* Source validation
* Contradiction detection
3. Provide examples of similar systems you’ve built

Generic or vague applications will be ignored.