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, 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, 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.

Required Qualifications
Bachelor's or Master's 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 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.
Experience working with Fortune 500 customers.
Exposure to cloud platforms (AWS, Azure, or GCP).
Willingness to travel occasionally to customer locations, if required.

Success in This Role
You'll be successful if you:
Build trusted relationships with enterprise customers.
Deliver high-quality AI solutions that solve real business problems.
Influence product direction through customer feedback.
Lead complex customer implementations successfully.
Mentor engineers and contribute to technical excellence.
Represent Neuron7 as a trusted technical advisor.

Why Join Neuron7?
Work on cutting-edge Agentic AI products used by Fortune 500 enterprises.
Collaborate with world-class AI researchers, engineers, and product leaders.
Solve complex customer challenges using innovative AI technologies.
Competitive compensation and ESOPs.
Comprehensive health insurance.
Hybrid work environment.
Opportunity to shape the future of Enterprise AI and customer success.
Neuron7 is an Equal Opportunity Employer. We celebrate diversity and are

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, 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.

Required Qualifications
Bachelor's or Master's 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 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.
Experience working with Fortune 500 customers.
Exposure to cloud platforms (AWS, Azure, or GCP).
Willingness to travel occasionally to customer locations, if required.

Success in This Role
You'll be successful if you:
Build trusted relationships with enterprise customers.
Deliver high-quality AI solutions that solve real business problems.
Influence product direction through customer feedback.
Lead complex customer implementations successfully.
Mentor engineers and contribute to technical excellence.
Represent Neuron7 as a trusted technical advisor.

Why Join Neuron7?
Work on cutting-edge Agentic AI products used by Fortune 500 enterprises.
Collaborate with world-class AI researchers, engineers, and product leaders.
Solve complex customer challenges using innovative AI technologies.
Competitive compensation and ESOPs.
Comprehensive health insurance.
Hybrid work environment.
Opportunity to shape the future of Enterprise AI and customer success.
Neuron7 is an Equal Opportunity Employer. We celebrate diversity and are