1 month ago
Bengaluru, IndiaStaff+
Responsibilities
- Partner with enterprise customers to understand business challenges and technical requirements.
- Lead technical discovery sessions, architecture discussions, solution design workshops, and customer implementations.
- Design, develop, customize, deploy, and optimize AI-powered applications using Neuron7’s platform.
- Build integrations with enterprise systems, APIs, CRMs, and knowledge repositories.
- Develop scalable backend services, workflows, and automation using Java or Python.
- Configure and optimize RAG pipelines and AI agents.
- Troubleshoot complex production issues and provide technical guidance to customers.
- Lead solution architecture for strategic implementations and mentor engineers.
- Drive code reviews, design reviews, and technical quality.
- Collaborate with Product, Engineering, AI Research, Customer Success, and Professional Services teams.
- Contribute customer insights, reusable implementation frameworks, and engineering best practices to product improvement.
Requirements
- 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 experience.
- Strong hands-on programming experience in Java with 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.
- Hands-on experience with LLMs, RAG, AI agents, agentic AI frameworks, prompt engineering, AI workflow orchestration, vector databases, enterprise search, or knowledge management solutions.
- Experience working directly with enterprise customers during implementation and deployment.
- Strong communication, presentation, solution architecture, problem-solving, and stakeholder management skills.
- Experience leading customer workshops and technical discussions and managing multiple customer engagements.
- Preferred experience in Customer Engineering, Solutions Engineering, Professional Services, or Technical Consulting.
- Preferred experience implementing SaaS or Enterprise AI solutions and working with Fortune 500 customers.
- Knowledge of ServiceNow, Salesforce, SAP, Microsoft Dynamics, or similar enterprise platforms.
- Exposure to AWS, Azure, or GCP.
Benefits
- Competitive compensation and ESOPs.
- Comprehensive health insurance.
- Hybrid work environment in Bangalore, India.
- Opportunity to work on Agentic AI products with AI researchers, engineers, and product leaders.
- Occasional travel to customer locations may be required.
Tech Stack
Categories
Solutions Engineering
