Senior AI Backend Engineer - Remotely

• Integrate and manage multiple AI providers (LLMs, image/video generation) with smart

• Design and optimize prompt engineering strategies for consistent, high-quality AI outputs
• Build high-performance REST/GraphQL APIs using Django and FastAPI with async

• Develop real-time features using SSE, WebSockets, and background task processing

• Architect scalable microservices with robust error handling, rate limiting, and monitoring
• Optimize database queries, implement caching strategies, and design efficient data

• 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