I will audit your ai agent and make it production ready
AI engineer and solution architect for RAG and AI agents
About this Gig
Launching an AI agent or LLM app? I test it the way an attacker and a production incident would, then tell you exactly what to fix.
I'm an AI engineer who builds production AI systems for a regulated bank, where security, privacy and reliability are requirements.
What I check:
- Prompt injection and jailbreaks, direct and hidden in documents or web pages
- Data leakage: system prompts, PII, secrets, other users' data
- Tool and API permissions: what your agent can do that it shouldn't
- Reliability: error handling, retries, timeouts, loops and fallbacks
- Evaluation: whether answer quality is measured or just hoped for
- Logging, tracing, rate limits and runaway token costs
- Deployment: Docker, CI/CD and secrets management
You get a severity-rated report with evidence, mapped to the OWASP LLM Top 10, plus a prioritized fix plan. In the top package I implement the fixes and re-test.
Stacks: LangGraph, LangChain, CrewAI, n8n agents and custom Python/FastAPI, with OpenAI, Claude or local models.
Message me what your agent does and how it's deployed before ordering.
Development technology:
Python

