Backend Developer

Backend Developer

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.