Senior Backend Engineer Generative AI

Location: Remote
Type: Project-Based Senior-Level
Domain: Generative AI LLMs RAG Systems Cloud-Scale APIs FastAPI


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• Submit complete setup instructions environment configuration and API documentation (Swagger/OpenAPI or equivalent).
• Share entity-relationship diagrams (ERDs) and system architecture visuals using tools like Miro or Lucidchart.
• When needed record short Loom or screen-share walkthroughs to explain complex modules.

• Design and build robust secure and scalable APIs and microservices for LLM-powered applications using FastAPI.
• Develop modular RAG pipelines integrating vector databases (Milvus or Qdrant) with custom retrieval logic.
• Work with models like LLaMA Mistral GPT and embedding models (Nomic OpenAI HuggingFace).
• Optimize inference speed and memory usage for multi-modal and NLP-based systems running in production.
• Celery for task queues and monitoring (Flower Prometheus).
• Handle authentication & authorization with JWT OAuth and secure role-based access control (RBAC).
• Utilize Docker for the project.
• Bouns: Architect cloud-native AI backends on AWS/GCP/Azure leveraging services like S3 EC2 Lambda Secrets Manager and Docker.
• Bouns: Ensure observability and reliability with CI/CD pipelines (GitHub Actions).

• 5 years of backend experience in Python (FastAPI Framework).
• 2 years working in AI/ML-driven systems or products ideally with experience in LLM integration or RAG systems.
• Experience with Postgres and one of FastAPI ORM such as SQLAlchemy-Almbic.
• Experience with LangChain LangGraph libraries.
• Strong understanding of vector similarity search and vector store integrations.
• Solid experience with containerization (Docker) and orchestrating distributed systems.
• Familiarity with data serialization async programming rate limiting and secure API design.
• Excellent debugging documentation and system design skills.
• Bachelors or Masters in Computer Science AI or related field.