The RoleBuild scalable AI-powered backend systems that form the backbone of our client solutions. You'll architect robust APIs, integrate multiple AI providers with intelligent fallback strategies, and optimize real-time workflows that handle AI processing at scale.
RESPONSIBILITIES- What You'll Do
- Integrate and manage multiple AI providers (LLMs, image/video generation) with smart
- fallback and cost optimization
- Design and optimize prompt engineering strategies for consistent, high-quality AI outputs
- Build high-performance REST/GraphQL APIs using Django and FastAPI with async
- processing
- Develop real-time features using SSE, WebSockets, and background task processing
- (Celery)
- Architect scalable microservices with robust error handling, rate limiting, and monitoring
- Optimize database queries, implement caching strategies, and design efficient data
- models
- Implement RAG pipelines and vector embeddings for context-aware AI responses
- Write comprehensive tests, maintain CI/CD pipelines, and conduct code reviews
REQUIREMENTS- 5+ Years of Experience.
- Python & Frameworks: Django and/or FastAPI in production, async Python (asyncio,
- async/await)
- AI Integration: LLM APIs (OpenAI, Gemini, etc.), prompt engineering, token/cost
- optimization
- Databases: PostgreSQL (query optimization, indexing), Redis (caching, queuing)
- Async Processing: Celery or equivalent, message brokers (RabbitMQ, Redis, SQS)
- DevOps: Docker, Git, cloud platforms (AWS/GCP), CI/CD pipelines
- API Design: RESTful principles, authentication, rate limiting, error handling.
- Server-Sent Events (SSE) or WebSocket implementation
- Vector databases (Pinecone, Weaviate, pgvector) and RAG architectures
- MongoDB or NoSQL experience
- Multi-provider AI abstractions and failover strategies
- GraphQL, workflow orchestration (Temporal, Airflow), Kubernetes
- Observability tools (Datadog, Sentry, ELK)
- LangChain, LlamaIndex, or similar frameworks
