Lead Software Engineer AI Platform Engineering

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, youll work directly with some of the worlds 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 youll 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 Neuron7s 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.

Required Qualifications

• Bachelors or Masters degree in Computer Science or a related field.
• 10 12 years of software engineering experience, including customer-facing implementation or solution engineering.
• Strong hands-on programming experience in Java (Spring Boot) or Python.
• Experience designing and building scalable distributed systems and APIs.
• Strong understanding of software architecture, integration patterns, and cloud-native applications.
• Experience integrating enterprise applications using REST APIs and event-driven architectures.

AI & Technical Experience

Hands-on experience with one or more of the following:

• Large Language Models (OpenAI, Anthropic, Gemini, Llama)
• Retrieval-Augmented Generation (RAG)
• AI Agents and Agentic AI frameworks
• LangChain, LangGraph, LlamaIndex, CrewAI, or similar frameworks
• Prompt engineering and AI workflow orchestration
• Vector databases (Pinecone, Weaviate, Milvus, FAISS, Chroma)
• Enterprise search and knowledge management solutions

Customer-Facing Skills

• Experience working directly with enterprise customers during implementation and deployment.
• Ability to communicate complex technical concepts to both technical and business stakeholders.
• Strong presentation and solution architecture skills.
• Experience leading customer workshops and technical discussions.
• Ability to manage multiple customer engagements simultaneously.
• Strong problem-solving and stakeholder management skills.

Preferred Qualifications

• Experience in Customer Engineering, Solutions Engineering, Professional Services, or Technical Consulting.
• Experience implementing SaaS or Enterprise AI solutions.
• Knowledge of ServiceNow, Salesforce, SAP, Microsoft Dynamics, or similar enterprise platforms.
• Exp…