Backend software engineer-2
2 weeks ago
About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
Overview
The Software Development Engineer is responsible for developing the Centific platforms and maintaining the existing code base. They need to be familiar with coding and online practices. Entry-level position.
Experience: 3+ years | Tech Stack: Java / Python / Spring Boot / FastAPI
Key Responsibilities
- Develop and maintain backend services using Java or Python.
- Design and implement RESTful APIs and microservice architectures.
- Optimize databases (MySQL, PostgreSQL, MongoDB) for performance and scalability.
- Ensure system reliability through performance tuning, monitoring, and testing.
Requirements
- 3+ years of backend development experience.
- Strong knowledge of Spring Boot, Django, or FastAPI.
- Familiar with Redis, message queues (Kafka/RabbitMQ), and CI/CD pipelines.
- Experience with cloud-native environments (AWS/Azure/GCP) preferred.
Nice to Have
Work with LLMs and Agentic AI
- Solid understanding of system design and distributed architecture
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