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Senior AI Backend Engineer - Remotely
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Job Description
The Role Build 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.
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.
Tech Stack Python 3.10+ | Django, FastAPI | PostgreSQL, Redis, MongoDB | OpenAI, Gemini | Celery | Docker | AWS/GCP Nice-to-Have 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
Requirements & Qualifications
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.
Tech Stack Python 3.10+ | Django, FastAPI | PostgreSQL, Redis, MongoDB | OpenAI, Gemini | Celery | Docker | AWS/GCP Nice-to-Have 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
EGjobank Analysis
Quick Role Summary
Opportunity as "Senior AI Backend Engineer - Remotely" at Taa Consultancy located in القاهرة on a Full-Time basis, suited for Senior Level candidates, within Technology & IT. Key details from listing: The Role Build scalable AI-powered backend systems that form the backbone of our client solutions. You'll architect robust APIs, integrate multiple AI…
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