Lead Software Engineer - AI Platform Engineering

About the role

You will partner directly with Fortune 500 enterprises to translate complex service operations and field challenges into scalable AI solutions using our platform. This role owns the end to end design and delivery of customer specific AI applications from initial discovery through production deployment. You will act as a technical leader responsible for architecting solutions that leverage Large Language Models, enterprise knowledge, and automation to drive measurable business outcomes. You will define and implement integrations with customer systems, ensuring solutions are robust, scalable, and aligned with enterprise requirements. You will mentor engineers, lead code and design reviews, and establish best practices that ensure high technical quality across implementations. You will serve as the primary trusted advisor for customers, managing stakeholder communications and ensuring clarity on technical tradeoffs. Finally, you will collaborate cross functionally to synthesize customer feedback and influence the product roadmap for the AI platform.

Key facts

What you'll do

Partner with enterprise customers to deeply understand business challenges and translate them into technical requirements for AI solutions.

Lead technical discovery sessions, architecture discussions, and solution design workshops to define clear implementation blueprints.

Translate ambiguous customer problems into scalable, production ready AI powered applications using Neuron7's platform.

Design and develop integrations with customer enterprise systems, APIs, CRMs, and knowledge repositories using Java or Python.

Configure and optimize Retrieval Augmented Generation pipelines and AI agents to meet specific customer accuracy and performance goals.

Build scalable backend services, workflows, and automation that integrate seamlessly with existing enterprise environments.

Troubleshoot complex production issues, performing root cause analysis and providing technical guidance to customers in real time.

Serve as a trusted technical advisor throughout implementation, supporting customer onboarding, production rollouts, and post deployment optimization.

Mentor engineers, drive code reviews, design reviews, and uphold strong software engineering and architectural standards.

Collaborate with Product Management, AI Research, Customer Success, and Professional Services to shape features based on real world feedback.

Requirements

Bachelor's or Master's degree in Computer Science or a related field.

Bring 10-12 years of software engineering experience, including significant customer facing implementation or solution engineering.

Demonstrate strong hands on programming expertise in Java with Spring Boot or in Python for backend services and integrations.

Show experience designing and building scalable distributed systems, APIs, and cloud native applications.

Possess a deep understanding of software architecture, integration patterns, and resilient system design.

Have experience integrating enterprise applications using REST APIs and event driven architectures in production settings.

Apply solid knowledge of Large Language Models, including strengths, limitations, and prompt engineering techniques.

Implement Retrieval Augmented Generation using vector databases such as Pinecone, Weaviate, Milvus, FAISS, or Chroma.

Utilize AI agent and agentic frameworks like LangChain, LangGraph, LlamaIndex, or CrewAI to build autonomous workflows.

Engage with enterprise search and knowledge management solutions to structure and retrieve organizational information.

Display comfort working directly with enterprise customers during complex implementation and deployment cycles.

Communicate complex technical concepts clearly to both technical and business stakeholders through presentations and workshops.

Nice to have

Experience in Customer Engineering, Solutions Engineering, Professional Services, or Technical Consulting roles.

Proven experience implementing SaaS or Enterprise AI solutions in production environments.

Familiarity with ServiceNow, Salesforce, SAP, or Microsoft Dynamics and similar enterprise platforms.

Prior work with Fortune 500 customers in regulated or complex operational environments.

Exposure to major cloud platforms such as AWS, Azure, or GCP for deploying scalable AI workloads.

Willingness to travel occasionally to customer locations, if required for on site workshops or deployments.

Practical notes

This role is based in Bengaluru in a hybrid work arrangement.

Willingness to travel occasionally may be required for customer engagements.