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.

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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 quick-paced environment.

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Key Responsibilities

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● Design, build, and maintain AI agent workflows and orchestration patterns (e.g.,

LangGraph)

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● Develop and optimize production-grade RAG systems (chunking, retrieval pipelines,

embeddings, response quality)

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● Implement and manage LLM API integrations with retry logic, fallbacks, rate limiting,

and cost optimization

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● Build advanced prompt engineering solutions (system prompts, few-shot learning,

structured outputs, versioning)

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● Develop input validation, output filtering, and AI safety layers

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● Implement AI observability and evaluation frameworks (tracing, regression testing,

quality checks)

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● Build data ingestion pipelines for AI systems (document processing, embeddings,

vector storage)

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● Collaborate with product and architecture teams to deliver scalable AI solutions

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● Write clean, testable, and production-ready code (unit, integration, and AI-specific tests)

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● Contribute to technical documentation, design docs, and operational runbooks​

Must-Have Skills & Experience​





● All rights reserved

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● Hands-on experience building AI/ML or LLM-powered systems in production​

● Strong understanding of LLM fundamentals (tokens, embeddings, context windows,

temperature, similarity search)

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● Experience with RAG systems (indexing, chunking strategies, retrieval methods)​

● Strong prompt engineering expertise (few-shot, structured outputs, iterative improvements)

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● Experience with AI orchestration frameworks (LangGraph, LangChain, or similar)

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● Hands-on experience with vector databases (pgvector, Pinecone, Qdrant, Weaviate, etc.)​

● Strong proficiency in Python

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● Experience working with LLM APIs (OpenAI, Claude, or similar)

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● Understanding of AI safety concepts (prompt injection, jailbreaking, mitigation strategies)

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● Experience with cloud platforms (AWS preferred) and containerization (Docker,

Kubernetes)

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● Strong analytical and problem-solving skills

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Good-to-Have Skills

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● Experience with AI observability tools (LangSmith, LangFuse)​

● Familiarity with Model Context Protocol (MCP) or similar integration patterns

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● Experience with AI observability tools (LangSmith, LangFuse)​

● Familiarity with Model Context Protocol (MCP) or similar integration patterns

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● Understanding of fine-tuning vs prompt-based approaches

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● Programming experience in Java

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● Experience with event-driven systems (Kafka, RabbitMQ)

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● Telecom domain knowledge (billing, CRM, lifecycle management)

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● Experience building customer-facing AI products

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● Backend development experience (Go, Node.js, Java microservices)

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