Lead Software Engineer - AL/ML (Implementation Engineer)

• 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)

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 Lead Software Engineer (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 micrservices.

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.

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.

Competitive salary, equity, and spot bonuses.

Paid Time-off.

Comprehensive health insurance.

Paid parental leave.

Flexible Hybrid work.

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.

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.