Backend Developer

3 days ago

Bengaluru, Karnataka, India Prolim Full time ₹ 6,00,000 - ₹ 18,00,000 per year

We are looking for a Backend Developer to design, develop, and maintain scalable backend systems and APIs that power our AI/ML applications, including Retrieval-Augmented Generation (RAG), Agentic AI, fine-tuned LLMs, and advanced search solutions. This role is critical to enabling seamless integration of AI services into our cloud-based platform and providing reliable APIs and MCP interfaces for internal and external consumers.

Key Responsibilities:

  • API & Service Development:

  • Design and implement RESTful/GraphQL APIs to expose AI/ML models and search services.

  • Develop microservices that handle model inference, retrieval, and orchestration.

  • Integration with AI Components:

  • Connect backend services to vector databases, knowledge graphs, and advanced search (Azure AI Search, Elasticsearch).

  • Integrate model endpoints from Azure OpenAI, fine-tuned models, or other cloud AI services.

  • Scalability & Reliability:

  • Implement caching, load balancing, and failover strategies for high-performance AI workloads.

  • Ensure APIs meet SLAs for latency and throughput.

  • Cloud Deployment:

  • Containerize services (Docker) and deploy in Kubernetes or serverless environments on Azure/AWS/GCP.

  • Work with DevOps/MLOps engineers to automate CI/CD pipelines.

  • Security & Compliance:

  • Implement authentication/authorization (OAuth 2.0, JWT, API keys).

  • Ensure secure handling of PII and compliance with data security standards.

  • Documentation & Monitoring:

  • Document API endpoints and usage (OpenAPI/Swagger).

  • Integrate logging, tracing, and monitoring for observability (Prometheus, App Insights).

Required Skills & Qualifications:

  • Technical Skills:

  • Proficient in backend frameworks (FastAPI, Flask, Django or other python frameworks).

  • Strong understanding of REST, GraphQL, and gRPC.
  • Experience with cloud platforms (Azure, AWS, or GCP) .
  • Familiar with containerization (Docker) and orchestration (Kubernetes).
  • Knowledge of databases: SQL, NoSQL, vector stores (Pinecone, Milvus, Azure Cosmos DB).

  • Understanding of message queues (Kafka, RabbitMQ) for async processing.

  • AI/ML Awareness:

  • Exposure to LLM-based applications (RAG pipelines, semantic search).

  • Comfortable integrating with ML endpoints and APIs.

  • Soft Skills:

  • Agile/Scrum team experience.

  • Strong collaboration with Data Scientists, MLOps, and Product Owners.
  • Excellent documentation and communication skills.

Preferred Qualifications:

  • Experience with MCP (Model Context Protocol) or similar model-serving orchestration frameworks.
  • Knowledge of CI/CD pipelines for AI model deployments.
  • Familiarity with API Gateway & rate-limiting policies.
  • Understanding of knowledge graphs and metadata-driven search.

Education & Experience:

  • Bachelors or Master's degree in Computer Science, Software Engineering, or related field.
  • 5+ years of backend development experience, with at least 1–2 years working on AI/ML or data-intensive applications.

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