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Why Join Neuron7.ai?
You'll have the opportunity to work on cutting-edge AI technologies while helping some of the world's largest enterprises solve complex service challenges. As part of a rapidly growing company, you'll play a key role in shaping customer outcomes, product adoption, and technical innovation.
Experience: 6+ Years Location: Bangalore (Hybrid)
Neuron7.ai is a fast-growing, AI-first SaaS company transforming service resolution through intelligence. Backed by Series B funding and trusted by leading Fortune 1000 enterprises, our Smart Resolution Hub delivers predictive and guided troubleshooting for high-tech, medical device, and industrial equipment organizations.
With 300% ARR growth and deep integrations across Salesforce, ServiceNow, Microsoft, and SAP ecosystems, Neuron7 is rapidly expanding its global footprint.
Role Overview
We are looking for a Senior AI Integration Engineer (Python) to join our Customer Implementations team. This role sits at the intersection of engineering, AI, and customer success, helping enterprise customers unlock value from Neuron7's AI-powered platform.
You will design and build Python-based integrations, data pipelines, APIs, and AI-enabled workflows while partnering closely with customers and internal teams to ensure successful deployments. This is a highly visible, customer-facing role that combines hands-on coding, technical problem-solving, and solution delivery.
Neuron7.ai is committed to building an inclusive workplace where everyone can thrive. We celebrate diversity and are proud to provide equal employment opportunities to all employees and applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic.
If you're passionate about building AI-powered solutions, working directly with enterprise customers, and solving meaningful real-world problems, we'd love to hear from you.
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Source: the Neuron 7 Lever job board. We last checked this job 10 h ago. We first saw it 7 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
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