---
title: 'Customer Implementation Engineer ( Python | AI/ML) at Neuron 7'
canonical: 'https://feeny.ai/job/customer-implementation-engineer-python-ai-ml-neuron-7-bengaluru-1x3z0c5edrwf'
type: 'job'
last_seen: '2026-09-07'
---

# Customer Implementation Engineer ( Python | AI/ML) at Neuron 7

- **Company:** Neuron 7
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-11
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/neuron7/7ccbaab2-6015-4942-8144-8db210b059a1

## Job 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 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 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. Customer Delivery & Collaboration 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.

## Team Excellence

Participate in code reviews and maintain high-quality coding standards. Document implementation workflows, integration steps, and troubleshooting playbooks. Mentor junior team members and contribute to internal tooling and automation. Required Qualifications Total 3+ years of professional experience. 2+ years of Python coding experience. Strong understanding of backend fundamentals, microservices, and distributed systems. Experience working with APIs, web frameworks (FastAPI, Flask, Django), and RESTful architectures. Hands-on experience with relational & NoSQL databases (PostgreSQL, MongoDB, or similar). Familiarity with cloud platforms (Azure, AWS, or GCP). Strong problem-solving, debugging, and communication skills. Ability to work cross-functionally with engineering, ML, and customer-facing teams. Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Keep teams moving through clarity and follow-through Desired (Nice-to-Have) Experience with AI/ML/NLP pipelines, LLMs, or RAG-based applications. Good knowledge in Java, NLP or text processing or agentic implementation experience Knowledge of Docker, Kubernetes, and container orchestration. Exposure to message queues (Kafka, RabbitMQ). Experience with CI/CD tools and automation frameworks. Prior startup or scale-up experience. Open-source contributions or technical writing experience. Location: Bangalore (flexible hybrid working) What We Do and Value: At Neuron7.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. Company Perks & Benefits: Competitive salary, equity, and spot bonuses. Paid Time-off. Comprehensive health insurance. Paid parental leave. Flexible Hybrid work. Our Commitment to Diversity and Inclusion: Neuron7.ai is 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. If you’re excited about using data to drive service intelligence and want to be part of a forward-thinking team, we’d love to hear from you!

## About Neuron 7

## Company Overview
- **One-liner**: Neuron7.ai helps enterprises turn disconnected service data and expertise into AI agents that diagnose and resolve complex technical issues in seconds.
- **Entity Type**: Private (Series B)
- **Headquarters**: San Jose, California, USA
- **Founded**: 2020
- **Founders**: Niken Patel (CEO) and Vinay Saini (Head of Customer and Product Delivery)

## Core Business
- **Primary industry**: AI-powered resolution intelligence for field service, technical support, and customer care.
- **Target customers**: Fortune 1000 enterprises managing complex technical equipment – medical devices, high-tech manufacturing, industrial systems, payment technology, telecom.
- **Mission**: Make expertise scalable by capturing and operationalizing tribal knowledge across service teams.

## Products & Services
- **[Neuron7 Platform](https://www.neuron7.ai/)**: A resolution intelligence layer that ingests structured and unstructured data (product manuals, support tickets, device logs, resolutions) and connects to existing CRM/FSM systems (Salesforce, ServiceNow, SAP, Microsoft). Delivers deterministic root-cause guidance, predictive failure alerts, and guided troubleshooting.
- **[Neuro AI Agent](https://www.neuron7.ai/)**: A next-generation AI agent that reasons, guides, and resolves complex service issues in real time, moving beyond search and recommendations.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding of **$44M (Series B)** led by Smith Point Capital (founded by former Salesforce Co-CEO Keith Block), with participation from Nexus Venture Partners, Battery Ventures, and ServiceNow Ventures. [pitchbook.com](https://pitchbook.com/profiles/company/459738-19)
- **Notable Investors/Partners**: Smith Point Capital, Nexus Venture Partners, Battery Ventures, ServiceNow Ventures. Microsoft recognized Neuron7 as a Partner of the Year finalist.
- **Growth Signals**:
  - 90%+ resolution accuracy in complex technical environments.
  - 46% faster resolutions, 24% lower parts cost, 14-point CSAT lift.
  - Deployed across 8,000+ technicians in 60+ regions.
  - Headcount ~129 employees (PitchBook) – growing with roles in engineering, customer success, and forward deployment.

## Competitive Advantages
- **Service Expertise Graph**: Built from actual case history, not just document search. Provides deterministic, grounded resolution guidance that improves with every closed case.
- **Predictive intelligence**: Predicts failures before they occur, reducing downtime and revisits.
- **No replacement of existing systems**: Operates as an intelligence layer on top of Salesforce, ServiceNow, SAP, etc., with pre-built connectors requiring no custom development.
- **Rapid deployment**: Pilots in weeks, not months.

## Strategic Focus
- Scaling AI agents (Neuro) for increasingly complex service operations across high-value industries.
- Deepening integrations with enterprise CRM/FSM ecosystems.
- Expanding geographic presence (roles in Bangalore, India, and remote U.S.).

## Why Work Here
- **Culture**: Founded by leaders with deep enterprise service experience; emphasis on operational intelligence and AI innovation.
- **Work Policy**: Hybrid roles in San Jose (HQ) and Bangalore; remote options available for certain positions (e.g., Technical Customer Success Manager – USA). [builtin.com](https://builtin.com/company/neuron7ai)
- **Notable perks**: Opportunity to work on cutting-edge AI/ML for mission-critical enterprise problems; collaboration with Fortune 1000 customers; fast-growing startup with strong investor backing.
- **Engineering culture**: Focus on AI, NLP, full-stack engineering, and forward deployment; roles include Lead Software Engineer, Principal Architect, Senior Forward Deployment Engineer.

## Sources
1. [neuron7.ai](https://www.neuron7.ai/)
2. [neuron7.ai/about-us](https://www.neuron7.ai/about-us)
3. [pitchbook.com](https://pitchbook.com/profiles/company/459738-19)
4. [builtin.com](https://builtin.com/company/neuron7ai)
5. [jobs.lever.co/neuron7](https://jobs.lever.co/neuron7)

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