Lead Software Engineer – AI Platform Engineering

About the role

Lead Software Engineer – AI Platform Engineering

Location: Bangalore, India (Hybrid)

About Neuron7.ai

Neuron7.ai is a leading Enterprise AI company building Agentic AI solutions that help Fortune 500 organizations transform customer service and field operations. Our AI platform enables enterprises to diagnose, resolve, and automate complex service issues using Large Language Models (LLMs), enterprise knowledge, and intelligent automation.

As part of our Customer Engineering organization, you'll work directly with some of the world's largest enterprises, helping them deploy and scale AI solutions that deliver measurable business outcomes.

Role Overview

We are looking for a Lead Software Engineer – AI Solutions with 10–12 years of experience who enjoys solving complex customer problems and building enterprise-grade AI solutions.

This is a customer-facing technical leadership role, where you'll partner with enterprise customers, Product, Engineering, and AI teams to design, customize, and implement AI-powered solutions. The ideal candidate combines strong software engineering expertise with excellent communication and stakeholder management skills.

Key Responsibilities

Customer Engagement

- Partner with enterprise customers to understand their business challenges and technical requirements.

- Lead technical discovery sessions, architecture discussions, and solution design workshops.

- Translate customer requirements into scalable AI-powered solutions.

- Serve as a trusted technical advisor throughout implementation and deployment.

- Support customer onboarding, production rollouts, and post-deployment optimization.

Solution Development

- Design, develop, and customize AI-powered applications using Neuron7's platform.

- Build integrations with customer enterprise systems, APIs, CRMs, and knowledge repositories.

- Develop scalable backend services, workflows, and automation using Java or Python.

- Configure and optimize Retrieval-Augmented Generation (RAG) pipelines and AI agents.

- Troubleshoot complex production issues and provide technical guidance to customers.

Technical Leadership

- Lead solution architecture for strategic customer implementations.

- Mentor engineers and promote engineering best practices.

- Drive code reviews, design reviews, and technical quality.

- Collaborate with Product and Engineering teams to influence product improvements based on customer feedback.

Cross-Functional Collaboration

- Work closely with Product Management, AI Research, Customer Success, and Professional Services teams.

- Share customer insights to improve product capabilities.

- Contribute to reusable implementation frameworks and best practices.