About the role
About the RoleWe are looking for a Senior AI Platform Engineer to join our AI team and help build a next-generation AI-powered customer experience platform. This role focuses on designing, developing, and maintaining production-grade AI systems, including LLM integrations, RAG pipelines, AI agent workflows, and supporting infrastructure.You will work closely with architects and cross-functional teams to transform AI capabilities into scalable, reliable platform features. This role requires strong hands-on experience with production AI systems, prompt engineering, and LLM integration patterns in a fast-paced environment.Key Responsibilities● Design, build, and maintain AI agent workflows and orchestration patterns (e.g., LangGraph)● Develop and optimize production-grade RAG systems (chunking, retrieval pipelines, embeddings, response quality)● Implement and manage LLM API integrations with retry logic, fallbacks, rate limiting, and cost optimization● Build advanced prompt engineering solutions (system prompts, few-shot learning, structured outputs, versioning)● Develop input validation, output filtering, and AI safety layers● Implement AI observability and evaluation frameworks (tracing, regression testing, quality checks)● Build data ingestion pipelines for AI systems (document processing, embeddings, vector storage)● Collaborate with product and architecture teams to deliver scalable AI solutions● Write clean, testable, and production-ready code (unit, integration, and AI-specific tests)● Contribute to technical documentation, design docs, and operational runbooksMust-Have Skills & Experience● 5+ years of software development experience● Hands-on experience building AI/ML or LLM-powered systems in production● Strong understanding of LLM fundamentals (tokens, embeddings, context windows, temperature, similarity search)● Experience with RAG systems (indexing, chunking strategies, retrieval methods)● Strong prompt engineering expertise (few-shot, structured outputs, iterative improvements)● Experience with AI orchestration frameworks (LangGraph, LangChain, or similar)● Hands-on experience with vector databases (pgvector, Pinecone, Qdrant, Weaviate, etc.)● Strong proficiency in Python● Experience working with LLM APIs (OpenAI, Claude, or similar)● Understanding of AI safety concepts (prompt injection, jailbreaking, mitigation strategies)● Experience with cloud platforms (AWS preferred) and containerization (Docker, Kubernetes)● Strong analytical and problem-solving skillsGood-to-Have Skills● Experience with AI observability tools (LangSmith, LangFuse)● Familiarity with Model Context Protocol (MCP) or similar integration patterns● Understanding of fine-tuning vs prompt-based approaches● Programming experience in Java● Experience with event-driven systems (Kafka, RabbitMQ)● Telecom domain knowledge (billing, CRM, lifecycle management)● Experience building customer-facing AI products● Backend development experience (Go, Node.js, Java microservices)