4 months ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and maintain Python-based services, APIs, integrations, and reusable implementation components.
- Build scalable data ingestion, transformation, validation, automation, and business workflow pipelines.
- Integrate LLM, NLP, RAG, embedding, retrieval, and other AI capabilities into enterprise environments.
- Deploy and manage solutions across Azure, AWS, and GCP while ensuring reliability, scalability, observability, and performance.
- Troubleshoot production issues, analyze logs, perform root-cause analysis, and implement monitoring and operational practices.
- Partner with customers, Customer Success, Product, and Engineering teams to translate requirements into technical solutions.
- Own end-to-end implementation and deployment for strategic enterprise customers and provide architecture guidance.
- Participate in architecture discussions and code reviews, mentor junior engineers, and codify implementation patterns into tools, playbooks, and accelerators.
Requirements
- 6+ years of professional software engineering experience and 5+ years of hands-on Python development experience.
- Experience implementing AI-powered solutions, integrations, or customer-facing technical projects.
- Strong understanding of backend systems, microservices, and distributed architectures.
- Experience building REST APIs with FastAPI, Flask, or Django.
- Hands-on experience with relational and NoSQL databases such as PostgreSQL and MongoDB.
- Experience with Azure, AWS, or GCP cloud platforms.
- Proven experience working directly with customers and managing technical implementations.
- Preferred qualifications include LLM, RAG, NLP, AI application, agentic AI, Java, Docker, Kubernetes, Kafka, RabbitMQ, CI/CD, DevOps, startup SaaS, open-source, or technical thought-leadership experience.
- Strong debugging, troubleshooting, problem-solving, communication, stakeholder management, decision-making, and delivery skills.
Benefits
- Competitive compensation, equity, and performance-based bonuses.
- Comprehensive health insurance, generous paid time off, and paid parental leave.
- Flexible hybrid work model in Bangalore.
- Opportunity to work with a world-class AI team on enterprise service-resolution challenges.
Tech Stack
Apache KafkaAWSAzureDjangoDockerFastAPIFlaskGoogle Cloud PlatformJavaKubernetesMongoDBPostgreSQLPythonRabbitMQ
Categories
Forward Deployed
About Neuron 7
Neuron7 builds AI software for complex service operations, using a Service Expertise Graph from past cases and knowledge to deliver step-by-step troubleshooting to technicians and support agents. It sells its platform as enterprise SaaS to manufacturers and service organizations that need consistent issue resolution and knowledge capture. Founded in 2020, the privately held company raised a Series B in 2024.