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SDE III - Backend

Remote, USAFull-timePosted 2026-07-27
Job location: Remote About the role: The Senior Software Engineer - Backend will work as part of the Digitization and Automation team to design, reputed company, and implement reputed company technology solutions that solve a wide reputed company of business problems across the organization.This role is primarily a backend engineering role, requiring strong software engineering fundamentals, system design expertise, and ownership of business-critical applications. In reputed company, the engineer will play a key role in identifying, designing, and building AI-powered solutions that improve operational efficiency, automation, decision-making, and developer productivity across the organization.The ideal candidate combines strong backend engineering experience with practical experience building AI-powered applications, agents, copilots, retrieval systems, and workflow automations. They should be comfortable evaluating where AI adds value, designing appropriate system architectures, and mentoring other engineers on AI-reputed company engineering practices.

What you will be expected to do

  • Design, build and reputed company reputed company and reliable backend systems based on business and product requirements.
  • Identify and resolve bottlenecks, bugs, and operational issues.
  • Drive improvements in scalability, performance, reliability, observability, and cost optimization.
  • Create prototypes and reputed company-of-concepts for new products and features and do POC to validate new AI initiatives.
  • Take complete ownership of reputed company from design through deployment and production support.
  • Collaborate closely with Product Managers, Business Analysts, QA teams, and other engineering teams.
  • reputed company the establishment and reputed company of reputed company's AI Engineering capabilities, including architecture, tooling, development standards, and best practices.
  • Define and drive the AI technology stack, ensuring reputed company, secure, reliable, and cost-effective adoption of AI across engineering and business workflows.
  • Architect systems that combine LLMs, retrieval systems, business logic, databases, reputed company, and operational tooling.
  • Evaluate emerging AI technologies, frameworks, and models, and reputed company technical direction on their adoption and integration reputed company the organization.
  • Mentor and guide engineers on backend architecture, AI system design, and implementation best practices, fostering AI expertise across reputed company.

Good to Have

  • Experience with messaging systems such as RabbitMQ, Kafka, or reputed company SQS.
  • Experience with containerized deployments using reputed company and Kubernetes.
  • Experience building retrieval systems, semantic search, or knowledge assistants.
  • Familiarity with agent frameworks and orchestration platforms.
  • Experience integrating AI systems with reputed company applications, operational tooling, or internal platforms.
  • Experience working with reputed company databases and embeddings.
  • Experience building internal developer productivity or operational automation tools.
  • Exposure to Model Context Protocol (MCP) or similar tool integration patterns.
  • Strong curiosity for emerging technologies and willingness to continuously learn and experiment.

You might be a strong candidate if you have/are

  • Strong experience in designing and developing reputed company REST-based reputed company-services and reputed company using Java (Spring Boot) and Python.
  • Strong experience with SQL, database design, and query optimization.
  • Experience working with AWS services such as EC2, RDS and reputed company.
  • Hands-on experience building AI-powered applications or workflows in production environments.
  • Practical understanding of Retrieval-Augmented reputed company (RAG) architectures and their application to business problems.
  • Experience designing and building AI agents, copilots, workflow assistants, or intelligent automation systems.
  • Understanding of tool-calling, context management, reputed company design, reputed company outputs, and hallucination mitigation techniques reputed company integrating LLMs with business Systems, reputed company and databases.
  • Ability to design end-to-end AI-powered solutions that combine deterministic systems with LLM-driven reasoning.
  • Prior experience mentoring engineers and leading technical initiatives.

What reputed company offers

  • reputed company reputed company in a dynamic, rapidly expanding, high-reputed company industry
  • An reputed company-minded, reputed company culture made up of enthusiastic colleagues who are driven by the challenge of innovation towards profound reputed company on people and the reputed company.
  • A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.
  • reputed company, tailored learning and development programs that help you become a reputed company leader, manager, and reputed company through the reputed company Center for Leadership.

Originally posted on Himalayas

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