Backend Software Architect

2 weeks ago

Pushkar, Rajasthan, India beBeeBackend Full time ₹ 20,00,000 - ₹ 30,00,000
Seeking a skilled Backend Engineer to join our team in the development of cutting-edge AI and search technologies. The ideal candidate will be responsible for designing, building, and maintaining backend components, APIs, and integrations.This is a challenging role that requires a systems thinker mindset, strong problem-solving skills, and the ability to collaborate across teams.The successful candidate will have experience with REST APIs, backend/frontend integration, and secrets hygiene, as well as proficiency in databases, caching, object storage, and streaming systems.In addition, the candidate should have knowledge of data modeling, ML pipelines, or applied machine learning in production systems, and experience with hybrid/vector search and ranking approaches.We are looking for an analytical thinker who can work independently and thrives on collaboration, with clear English communication, written and verbal skills.This is a project-based role, working on the backbone of RightLabs: APIs, data pipelines, integrations, and infrastructure that power consumer and partner experiences.Key Responsibilities
  • Design, build, and maintain backend components, APIs, and integrations.
  • Help architect data flows across databases, key-value stores, caches, and object storage.
  • Implement secure authentication and authorization mechanisms.
  • Support search/vector search/ranking and external API integrations.
  • Set up monitoring and observability tools.
  • Remain aware of and build for data regulations.
  • Containerize solutions for scalability and compute flexibility.
  • Write adapters, contract tests, and manage schema diffs for evolving systems.
  • Collaborate across teams - tech and non-tech - find gaps, ask questions, and make suggestions.
  • Contribute to the design and implementation of the RightScore algorithm.
  • Build and optimize logic layers, ranking systems, and cross-referencing pipelines that feed into consumer-facing products.
  • Work with vector search, embeddings, and retrieval-augmented generation for product intelligence.
  • Support the development of AI-powered interfaces by shaping the backend that feeds them.
  • Collaborate with product and science leads to translate wellness logic into robust, explainable models.

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