Neuron7.ai
SaaS
SeniorCustomerImplementationEngineer
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“Senior Customer Implementation Engineer at Neuron7.ai. Skills: Python, AI/ML Implementation, Customer Integrations, Cloud Deployment. Develop Python services. Maintain Python services”
What You'll Achieve.
Deliver high-quality deployments; Ensure smooth onboarding; Optimize performance
Industry & Context.
Problem-solving; Debugging; Troubleshooting; Root-cause analysis
What They're Looking For.
Must Have
5+ years professional experience, 2+ years Python coding, Backend fundamentals knowledge, Microservices knowledge, Distributed systems knowledge, API experience, Web frameworks experience, RESTful architectures experience, Relational databases hands-on, NoSQL databases hands-on, Cloud platforms familiarity, Problem-solving skills, Debugging skills, Communication skills, Cross-functional work ability
Nice to Have
AI/ML/NLP pipelines experience, LLMs experience, RAG-based applications experience, Java knowledge, NLP knowledge, Text processing knowledge, Agentic implementation experience, Docker knowledge, Kubernetes knowledge, Message queues exposure, CI/CD tools experience, Automation frameworks experience, Startup experience, Scale-up experience, Open-source contributions, Technical writing experience
What You'll Do.
Develop Python services
Maintain Python services
Develop integration layers
Maintain integration layers
Build data ingestion pipelines
Build data transformation pipelines
Build data validation pipelines
Implement customer-specific logic
Implement automations
Integrate ML pipelines
Integrate LLM components
Integrate retrieval systems
Work with RAG pipelines
Work with embedding workflows
Work with NLP modules
Optimize model performance
Ensure service reliability
Ensure service observability
Ensure service performance
Troubleshoot production issues
Perform root-cause analysis
Translate requirements
Provide architecture guidance
Provide scalable patterns guidance
Participate in code reviews
Maintain coding standards
Document implementation workflows
Document integration steps
Document troubleshooting playbooks
Mentor junior team members
Contribute to internal tooling
Contribute to automation
How You'll Work.
Team & Collaboration
Customer Success teams; Solutions teams; ML Engineers; Backend Engineering; PM teams; Customer-facing teams
Communication Scope
Customer communication; Technical communication
Process & Methodology
Scope work, Sequence delivery, Remove blockers, Make trade-offs, Adjust plans, Codify working patterns
Full Job Description
## Description About Us: 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. We operate with: 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 Role Overview As a Senior 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. Key Responsibilities Python Development & Integrations 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 micrservices. AI/ML & NLP (Implementation Focus) 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. Deployment & System Reliability Config
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