I will build a custom ai agent, rag search or llm integration


About this gig
Need AI that does real work, not just chat? I build custom AI agents, RAG document search, and LLM integrations that plug into your product.
Senior engineer, 23+ years, with deep hands-on AI work: retrieval-augmented generation, multi-step agents, and LLM pipelines in production.
What I build:
- RAG search over your docs, PDFs, or database, with grounded, accurate answers
- Custom AI agents with tool use and function calling (research, triage, extraction, automation)
- LLM features inside your app: summarize, classify, extract, semantic search
- Integrations with OpenAI, Anthropic Claude, LangChain, and vector databases
- Deployed with a clean API or UI, source code included
You bring your own LLM API key, so you control costs. Tell me what you want the AI to DO and I'll scope it by outcome.
Tech: Python, Next.js, TypeScript, OpenAI, Claude, LangChain, vector DBs.
Get to know Alex S
Senior Full Stack Engineer and AI Specialist, 23 years in React, NET and Go
- FromUnited States
- Member sinceDec 2024
- Avg. response time3 hours
Languages
English, Russian
My Portfolio
FAQ
How is this different from a chatbot?
A chatbot answers questions. An agent takes actions and runs multi-step tasks (research, triage, extraction, tool use). RAG grounds answers in your own data.
Whose API key is used?
You provide your own OpenAI or Anthropic key, so you fully own and control usage costs.
What data can it use?
Documents, PDFs, websites, databases, or APIs. Clean sources work best; cleanup can be added as an extra.
Do I get the source code?
Yes. Source code and deployment are included on Standard and Premium.
Can you integrate into my existing app?
Yes. I integrate via API or directly in your codebase (you provide repo access).

