AI Engineer
Team: Customer Success Management
Location: Gurugram
Commitment: Full-time
Workplace Type: remote
Responsibilities
- Build Python-based pipelines for automated quality testing of AI responses.
- Integrate LLMs into automated evaluation frameworks (e.g., using GPT-based evaluators, embeddings, or custom scoring).
- Automate regression and stress testing for conversational AI flows.
- Define evaluation metrics (relevance, factuality, coherence, safety, empathy).
- Implement both rule-based and AI-driven quality checks.
- Monitor model drift, bias, and hallucinations using automated workflows.
- Work with APIs, SDKs, and CI/CD pipelines to embed automated AI evaluation in production.
- Develop monitoring dashboards to visualize conversation quality.
- Collaborate with ML engineers, product managers, and QA teams to close the feedback loop.
- Experiment with prompt engineering and automated prompt-testing frameworks.
- Explore reinforcement learning, self-critique models, or human-in-the-loop automation for continuous improvement.
- Automate compliance and policy adherence checks for enterprise AI systems.
Requirements
- Strong 4-5 Years of experience in Python development (automation, scripting, data handling).
- Experience with LLMs/NLP frameworks.
- Understanding of MLOps / AI deployment pipelines.
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