Backend Engineer

3 days ago

Bengaluru, Karnataka, India withRemote Full time ₹ 8,00,000 - ₹ 12,00,000 per year

Title: Backend Engineer - Core Systems & AI Infrastructure

Salary: upto 100,000 per month, depending on experience and skills

Working Days: Monday to Saturday

Working Hours: 5PM to 2AM

Contract Duration: 3 months (with potential extension based on performance, project need)

Location: Remote

JD:

  • Design and build scalable, multi-tenant APIs with proper authentication, authorization, and rate limiting.
  • Create and optimize high-performance data pipelines for the RedShift data warehouse.
  • Architect, deploy, and manage core backend systems on cloud servers, ensuring reliability and scalability.
  • Collaborate with AI teams to integrate, deploy, and serve AI models in a production environment.
  • Develop and maintain MCP (Model Context Protocol) Servers to facilitate tooling and interoperability for AI applications.
  • Establish and maintain CI/CD pipelines for seamless deployment of full-stack and backend services.
  • Provide the foundational platforms and APIs that the Workflow Engineer consumes.

Screening Parameters:

  • Strong, proven experience in core Backend engineering and system design.
  • Demonstrated ability in designing and scaling multi-tenant backend systems for high concurrency.
  • Proficiency in API design (REST, GraphQL) and implementing robust security (OAuth2, JWT, rate limiting).
  • Expertise in database design, performance tuning, and optimization (PostgreSQL, Redshift).
  • Demonstrated ability to deploy and manage full-stack projects on a server.
  • Experience working with or building MCP (Model Context Protocol) Servers.
  • Proficiency in handling and processing NLP data at scale.
  • Proven involvement in AI model projects (integration, deployment, inference serving).

Projects Must Have/Done:

  • Deployed a full-stack application from development to a production server.
  • Scaled a multi-tenant backend system to handle high concurrent loads.
  • Implemented a production-grade rate-limiting system for APIs.
  • Built and optimized data pipelines for unstructured or NLP data.
  • Integrated an AI/ML model into a backend service and served it via an API.
  • Worked on projects involving MCP servers or similar AI tooling infrastructure.
  • Set up and maintained a CI/CD pipeline for automated testing and deployment.

TechStack:

  • Backend: ,
  • AI & Data: Hugging Face, NLP libraries (spaCy, NLTK)
  • Databases: PostgreSQL, Redis, Vector Databases (e.g., pgvector)
  • Infrastructure & DevOps: AWS, Docker, Kubernetes, CI/CD tools (e.g., GitHub Actions, Jenkins), Redis Pub/Sub, RabbitMQ, Kafka
  • APIs & Auth: REST, GraphQL, OAuth2, JWT, Rate Limiting (e.g., via Redis, API Gateway)
  • Specialized: Model Context Protocol (MCP)

Commitement

  • Duration: 3-month contract (with potential extension based on performance, project need)
  • Availability: 9 hours per day (Full-time)
  • Compensation: 80k upto 1L per month, depending on experience and skills
  • Expectation: Must demonstrate strong ownership, clear communication, and the ability to collaborate effectively within a remote technical team

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