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Netomi
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AI Automation Engineer

AI Automation Engineer

Netomi

2 - 5 years

4 - 7 Lacs

gurugram

Posted:1 week ago| Platform:

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Skills Required

loop qa stress testing automation quality testing machine learning deployment continuous improvement qa automation python

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the Company:

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world s largest global brands do businessJoin us!

About the Role

An AI Automation Engineer focuses on building automated systems to evaluate, test, and enhance the performance of conversational AI models (LLMs, chatbots, voice assistants). They sit at the intersection of machine learning, software engineering, and QA automation, ensuring that AI systems produce high-quality, safe, and reliable responses at scale.

Responsibilities

Automation Pipelines: 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.
Quality & Evaluation: 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.
Integration & Deployment: 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.
Optimization & Innovation: 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 2-5 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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Software Development

San Mateo California

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AI Automation Engineer