Hire for Ragas Mastery
Your RAG application 'looks' okay, but you have no objective way to measure its quality. You're here because you need to move beyond anecdotal evidence and implement a rigorous evaluation framework. You need an expert in Ragas or other evaluation tools who can measure metrics like faithfulness, answer relevancy, and context precision to systematically improve your application's performance.
Sound Familiar?
Common problems we solve by providing true Ragas experts.
Is your RAG system hallucinating or making up facts?
The Problem
If your LLM's answer is not grounded in the retrieved context, it's a hallucination. You need a way to measure this automatically.
The TeamStation AI Solution
We find engineers who can use Ragas to measure 'faithfulness,' a metric that automatically checks if the generated answer is supported by the retrieved context.
Proof: Automatically measuring and preventing hallucinations
Is your retrieval step pulling in irrelevant documents?
The Problem
If your retriever is pulling in junk, your LLM will produce a junky answer. This is the 'garbage in, garbage out' problem for RAG.
The TeamStation AI Solution
Our engineers are experienced in using metrics like 'context precision' and 'context recall' to evaluate the performance of the retrieval step in isolation.
Proof: Evaluating and improving retrieval performance
How do you A/B test different prompts or retrieval strategies?
The Problem
Without objective, automated metrics, you can't systematically improve your RAG application.
The TeamStation AI Solution
We look for engineers who can integrate Ragas into a CI/CD pipeline to create an 'evaluation-driven development' workflow, allowing you to test changes and only merge them if they improve your key quality metrics.
Proof: Evaluation-driven development for RAG
Our Evaluation Approach for Ragas
For roles requiring deep Ragas expertise, our Axiom Cortex™ evaluation focuses on practical application and deep system understanding, not just trivia. We assess candidates on:
- Understanding core RAG evaluation metrics
- The difference between faithfulness, relevance, and precision
- Synthetic test data generation for evaluation
- Integrating evaluation into a CI/CD pipeline (eval-driven development)
- Analyzing results to diagnose and fix issues
Ready to Hire Elite Ragas Talent?
Stop sifting through unqualified resumes. Let us provide you with a shortlist of 2-3 elite, pre-vetted candidates with proven Ragas mastery.
Book a No-Obligation Strategy Call