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Job Title: Backend Engineer (AI / LLM / Claude Applications) Role Overview We are looking for a skilled Backend Engineer to design, build, and scale backend systems for AI-powered applications, with a robust focus on Claude (Anthropic) / LLM-based solutions. You will work closely with AI/ML engineers, frontend developers, and product teams to integrate large language models into production-grade systems. Key Responsibilities - Design and develop scalable backend systems and APIs for AI-driven applications - Integrate Claude API (Anthropic) and other LLMs (OpenAI, Azure OpenAI, etc.) into products - Build middleware, orchestration layers, and agent frameworks for AI workflows - Implement prompt pipelines, context management, and memory systems - Develop high-performance REST/GraphQL APIs for AI services - Handle real-time and asynchronous processing of AI inference workflows - Optimize latency, cost, and throughput for LLM usage - Implement RAG (Retrieval Augmented Generation) pipelines using vector databases - Ensure security, compliance, and data privacy standards for AI systems - Monitor and maintain production systems, logging, and observability - Collaborate with DevOps for CI/CD, containerization, and cloud deployment Required Skills & Qualifications Core Backend Skills - Strong experience in Python / Node.js / Java / Go - Expertise in building scalable microservices architecture - Solid understanding of REST APIs, GraphQL, and distributed systems - Experience with databases: SQL PostgreSQL, MySQL), NoSQL (MongoDB, Redis, DynamoDB) AI / LLM Experience - Claude API (Anthropic) preferred, OpenAI / Azure OpenAI / other LLMs - Understanding of Prompt engineering, Token management & Context window optimization - Experience building: Chatbots, copilots, or AI agents Data & AI Infrastructure - Experience with vector databases: Pinecone, Weaviate, FAISS, Chroma - Knowledge of RAG architectures - Familiarity with embedding models and semantic search Cloud & DevOps - Experience with cloud platforms: Azure / AWS / GCP - Knowledge of Docker, Kubernetes, CI/CD pipelines, Serverless architectures Job Title: Backend Engineer (AI / LLM / Claude Applications) Role Overview We are looking for a skilled Backend Engineer to design, build, and scale backend systems for AI-powered applications, with a robust focus on Claude (Anthropic) / LLM-based solutions. You will work closely with AI/ML engineers, frontend developers, and product teams to integrate large language models into production-grade systems. Key Responsibilities - Design and develop scalable backend systems and APIs for AI-driven applications - Integrate Claude API (Anthropic) and other LLMs (OpenAI, Azure OpenAI, etc.) into products - Build middleware, orchestration layers, and agent frameworks for AI workflows - Implement prompt pipelines, context management, and memory systems - Develop high-performance REST/GraphQL APIs for AI services - Handle real-time and asynchronous processing of AI inference workflows - Optimize latency, cost, and throughput for LLM usage - Implement RAG (Retrieval Augmented Generation) pipelines using vector databases - Ensure security, compliance, and data privacy standards for AI systems - Monitor and maintain production systems, logging, and observability - Collaborate with DevOps for CI/CD, containerization, and cloud deployment Required Skills & Qualifications Core Backend Skills - Strong experience in Python / Node.js / Java / Go - Expertise in building scalable microservices architecture - Solid understanding of REST APIs, GraphQL, and distributed systems - Experience with databases: SQL PostgreSQL, MySQL), NoSQL (MongoDB, Redis, DynamoDB) AI / LLM Experience - Claude API (Anthropic) preferred, OpenAI / Azure OpenAI / other LLMs - Understanding of Prompt engineering, Token management & Context window optimization - Experience building: Chatbots, copilots, or AI agents Data & AI Infrastructure - Experience with vector databases: Pinecone, Weaviate, FAISS, Chroma - Knowledge of RAG architectures - Familiarity with embedding models and semantic search Cloud & DevOps - Experience with cloud platforms: Azure / AWS / GCP - Knowledge of Docker, Kubernetes, CI/CD pipelines, Serverless architectures