Backend Engineer
About this role
This role is for one of the Weekday's clients
Salary range: Rs 1500000 - Rs 3500000 (ie INR 15 - 35 LPA)
Min Experience: 3 years
Location: Bengaluru
JobType: full-time
We are actively seeking a highly skilled Backend Engineer who possesses solid experience in JAVA and Go programming languages, complemented by practical and hands-on knowledge of Artificial Intelligence (AI) and Large Language Models (LLMs). The ideal candidate will play a critical role in designing, developing, and maintaining robust, scalable backend systems that power intelligent applications capable of handling complex tasks efficiently and reliably. This position requires a deep understanding of backend architecture, system integration, and the latest advancements in AI technologies to deliver innovative solutions that meet evolving business needs.
Requirements
- 3โ6 years of professional experience in backend development, demonstrating a strong track record in building and maintaining complex software systems.
- Proficiency in Java and Go programming languages, with the ability to write clean, efficient, and maintainable code.
- Hands-on experience working with AI technologies and Large Language Models (LLMs), including practical application and integration within backend systems.
- Familiarity with designing and implementing APIs, microservices architecture, and working with various types of databases (relational and NoSQL).
- Experience deploying and managing applications on major cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure, along with containerization technologies like Docker.
Must-have Skills
Go โ Strong expertise in Go programming and backend service development.
LLM โ Practical knowledge and experience in Large Language Models and their application.
Java โ Solid proficiency in Java for developing scalable backend components.
Preferred Skills
LLM or AI โ Advanced understanding or hands-on experience with AI frameworks and LLM integration.
Java and Go โ Demonstrated ability to leverage both languages effectively in backend engineering.
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