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Neuron7.ai in Bengaluru, India, is hiring an Implementation Engineer to join our AI-first SaaS team. You will build, integrate, and deploy Python-based backend solutions that power Neuron7’s AI-driven resolution platform, implementing customer-specific workflows and connecting enterprise systems for scalable, production-grade deployments.
You’ll partner with Customer Success, ML, Backend Engineering, and PM teams to ensure smooth onboarding, robust integrations, and high-quality deployments for
Neuron7.ai is a fast-growing AI-first SaaS company — Series B funded and trusted by top Fortune 1000 brands — that transforms service resolution with intelligence. Our Smart Resolution Hub delivers predictive, guided troubleshooting across high-tech, medical, and industrial equipment environments. With 300% ARR growth and deep integrations with Salesforce, ServiceNow, Microsoft, and SAP, Neuron7 is scaling rapidly in India and worldwide.
Integrity and doing business the right way
Continuous innovation in AI and service intelligence
Customer obsession with real, measurable impact
Collective intelligence through collaboration and knowledge sharing
As an Implementation Engineer, you will work at the intersection of engineering, AI, and customer delivery. You’ll build, integrate, and deploy Python-based backend solutions that power Neuron7’s AI-driven resolution platform. This role involves implementing customer-specific workflows, connecting enterprise systems, optimizing data pipelines, and enabling scalable LLM/NLP-powered features in production.
You will partner closely with Customer Success, ML, Backend Engineering, and PM teams to ensure smooth onboarding, robust integrations, and high-quality deployments for enterprise clients.
Develop and maintain Python-based services, APIs, and integration layers for customer implementations.
Build data ingestion, transformation, and validation pipelines to support AI/ML workflows.
Implement customer-specific logic, connectors, and automations using Python microservices.
Integrate internal ML pipelines, LLM components, and retrieval systems into customer environments.
Work with RAG pipelines, embedding workflows, or NLP modules as needed for solution deployment.
Collaborate with ML Engineers to productionize models and optimize performance.
Configure and deploy services on cloud platforms (Azure/AWS/GCP).
Ensure reliability, observability, and performance of implementation-specific services.
Troubleshoot production issues, analyze logs, and perform root-cause analysis.
Work closely with Customer Success & Solutions teams to translate requirements into technical specifications.
Own end-to-end technical implementation for enterprise accounts.
Provide guidance on best practices, architecture choices, and scalable patterns.
Participate in code reviews and maintain high-quality coding standards.
Document implementation workflows, integration steps, and troubleshooting playbooks.
Work closely with the team and contribute to internal tooling and automation.
AtNeuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in all aspects of our work.
Neuron7.aiis committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital status, or any other characteristic protected by law.