Backend Developer

Responsibilities

• Design, develop, and maintain backend services and APIs for Generative AI–powered applications
• Build and manage scalable backend architectures supporting AI workflows such as prompt orchestration, embeddings, retrieval-augmented generation (RAG), and agent execution
• Integrate Generative AI models and platforms (e.g., OpenAI, Azure OpenAI, Hugging Face) into production-grade systems
• Work closely with AI/ML engineers to operationalize LLMs, vector databases, and inference pipelines
• Ensure backend systems are secure, scalable, reliable, and optimized for performance
• Design and manage data storage using SQL and NoSQL databases
• Implement authentication, authorization, logging, monitoring, and error-handling mechanisms
• Write clean, maintainable code along with unit and integration tests
• Participate in code reviews, architectural discussions, and agile sprint planning
• Support deployment, monitoring, and maintenance of backend services in cloud environments
  

Requirements

• 3+ years of experience in backend development using Node.js, Python, or .NET
• Strong understanding of RESTful APIs, backend system design, and microservices architecture
• Experience working with Generative AI models, LLM APIs, or AI-powered workflows
• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and embedding-based search
• Experience with cloud platforms such as Azure, AWS, or GCP
• Hands-on experience with Docker and basic understanding of container orchestration (Kubernetes preferred)
• Proficiency in working with SQL and NoSQL databases
• Exposure to AI/ML tools or libraries such as OpenAI APIs, LangChain, Hugging Face, or Azure OpenAI
• Strong problem-solving skills with the ability to collaborate effectively across teams
• Good communication skills and a product-focused mindset
  

Good to Have

• Experience with LLMOps and AI application lifecycle management
• Hands-on experience with agent-based frameworks (e.g., AutoGPT, LangGraph)
• Knowledge of CI/CD pipelines, GitHub Actions, or Azure DevOps
• Experience implementing observability tools for logging, monitoring, and analytics
• Understanding of scalable backend patterns for AI-heavy workloads