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Fiverr Pro
English
$
USD
I will build production rag systems and ai agents with llm evaluations
lladyy
About this gig
I build applied AI systems for real products, internal tools, and business workflows.
My focus:
Production-minded RAG systems
AI agents and tool calling
LLM integrations and structured outputs
Evaluation datasets and regression testing
Python AI backends and APIs
I can help with:
Document ingestion, chunking, embeddings, retrieval, and reranking
Citations, knowledge bases, and RAG chatbots
Agents with tools, APIs, and approval workflows
Evaluation, quality checks, logging, tracing, and caching
SQL, NoSQL, Redis, and existing API integrations
FastAPI services, Docker foundations, and deployment handoff
I start by understanding what the system must do, what data it will use, who will rely on it, and how success should be measured.
The goal is a system that can be tested, improved, and maintained.
My focus is Applied AI engineering, not novel ML research or training models from scratch.
Message me with your use case, data source, expected users, current stack, and required integrations.
Get to know lladyy
lladyy
AI Engineer I Python SWE
- FromSpain
- Member sinceMar 2026
- Avg. response time1 hour
Languages
English, Spanish, Portuguese, Catalan
I'm a Python and Applied AI Engineer focused on building useful, maintainable software.
I work on RAG systems, AI agents, LLM evaluations, backend APIs, databases, automations, web scraping, bots, and custom web tools.
I write and review the code myself. If you prefer an AI-assisted workflow to move faster, I can use it deliberately, while remaining responsible for the architecture, implementation, testing, and handoff.
I like clear scopes, direct communication, and projects that solve a real operational problem. Share what you are trying to build and the context around it.
My Portfolio
FAQ
What kind of AI systems do you build?
I build RAG systems, document assistants, knowledge bases, AI agents, LLM workflows, internal copilots, and AI features connected to existing software, with evaluations.
Can you connect the AI system to my database or APIs?
Yes. I can integrate SQL, NoSQL, Redis, internal APIs, external services, and existing Python backends.
How do you evaluate the quality of an AI system?
I use representative test cases, expected behaviors, evaluation datasets, retrieval checks, and regression testing based on the project’s goals.
Can you build an agent that uses tools or APIs?
Yes. Agents can use structured outputs, external APIs, internal tools, approval steps, and controlled workflows.
Do you train custom machine learning models?
My focus is Applied AI engineering: RAG, LLM applications, agents, integrations, evaluations, and backend systems. I do not offer novel ML research or training models from scratch.
What do you need before starting?
I need your use case, data sources, expected users, required integrations, current stack, preferred deployment environment, and examples of successful outputs.
Can you improve an existing RAG or AI agent?
Yes. I can review retrieval quality, prompts, tool calls, evaluation coverage, latency, cost, logging, and backend integration.
