We 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 runbooks Must-Have Skills & Experience

● 5+ years of software development experience © NomiSo India Private Limited, 2026, All rights reserved

● 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 skills Positive-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)

📌 Senior AI platform Engineer. (Karnataka)
🏢 Sparix Global
📍 Karnataka