AI Engineer

₹20L – ₹25L/year

We are looking for an AI Engineer to design and deliver scalable, enterprise-grade AI solutions. This role involves working closely with engineering and architecture teams to build robust AI systems, leveraging modern GenAI capabilities, cloud platforms, and strong foundational knowledge in machine learning and data systems.

Key Responsibilities

• Evaluate and select appropriate AI models — LLMs and SLMs — based on use case requirements
• Analyse model performance, scalability, and deployment considerations
• Contribute to the design of GenAI solutions: RAG pipelines, prompt engineering strategies, and model integration patterns
• Build and deploy AI solutions primarily on Microsoft Azure (Azure ML, Azure OpenAI)
• Ensure adherence to cloud architecture best practices, scalability, and reliability standards
• Apply knowledge of statistics, machine learning, and data engineering concepts in solution development
• Collaborate with data scientists and data engineers for advanced modelling and data pipeline requirements
• Apply working knowledge of cloud security, compliance, and landing zone principles
• Collaborate with Solution Architects to ensure alignment with governance and architectural standards
• Contribute to cost-efficient AI solution design and resource optimisation

Requirements

• 5+ years of overall experience in AI/ML engineering
• 2+ years hands-on experience in the Azure AI ecosystem (Azure ML, Azure OpenAI)
• Proven track record delivering production-grade AI systems
• Design and implement Multi-Agent Systems capable of autonomous reasoning, planning, and tool-use
• Develop AI agents using frameworks like Semantic Kernel, LangGraph, AutoGen, or LlamaIndex
• Expertise in sophisticated RAG pipelines — embedding, semantic chunking, multi-vector indexing, and cross-encoder re-ranking
• Expertise in LLM evaluation and guardrails
• Conduct rigorous latency analysis and throughput optimisation for real-time agentic interactions