Backend Engineer

14 hours ago

Hyderabad, Telangana, India SproutsAI Full time ₹ 12,00,000 - ₹ 24,00,000 per year
We are looking for a skilled and motivated Backend Engineer to join our team and contribute to building the next generation of healthcare automation systems. You will be responsible for designing, developing, and maintaining scalable backend services and APIs that power Interactlys AI-driven healthcare assistants. This role involves working closely with cross-functional teams to ensure seamless integrations, real-time data processing, and reliable performance across distributed systems.

Key Responsibilities :

- Design, build, and maintain scalable, high-performance backend services using Python and FastAPI (or other asynchronous frameworks).

- Develop and optimize RESTful APIs and microservices to support real-time AI applications.

- Work on MongoDB/Atlas database design, query optimization, and schema modeling.

- Build efficient CI/CD pipelines using tools such as GitHub Actions or GitLab CI, and containerize applications with Docker.

- Collaborate with frontend, AI/ML, and DevOps teams to ensure smooth integration and deployment of features.

- Debug and optimize distributed systems to ensure scalability, reliability, and fault tolerance.

- Implement and manage third-party API integrations to enhance system capabilities.

- Work on AI-related backend components such as Retrieval-Augmented Generation (RAG) pipelines, structured outputs, and AI guardrails to ensure responsible model behavior.

- Participate in architecture discussions, technical reviews, and sprint planning sessions.

- Write clean, testable, and maintainable code while following industry best practices.

Requirements :

- 3+ years of experience in backend development with Python and FastAPI (or similar asynchronous frameworks).

- Proven expertise with MongoDB/Atlas, including data modeling and performance tuning.

- Strong understanding of CI/CD pipelines, Docker, and automated deployment workflows.

- Experience in debugging distributed systems and integrating third-party APIs.

- Familiarity with AI/LLM-based systems, such as RAG pipelines or structured output frameworks, is preferred.

- Ability to work in a fast-paced, collaborative environment with a focus on problem-solving and innovation.

Nice to Have :

- Exposure to , Redis, or messaging queues (RabbitMQ, Kafka, etc.).

- Experience with real-time communication systems (WebSockets, gRPC).

- Background in healthcare technology or AI product development.

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