Machine Learning Engineer

Location - Gurugram / Bangalore

As a partner to businesses and governments, Crane Authentication offers expertise and cutting-edge innovations that protect and enhance products, secure identities, safeguard revenues and enforce compliance. Customers from different business sectors and levels of government trust our team of 1,250 people for their expertise in R&D, security design, engineering and data-driven insights. We are an integral part of Crane NXT , a c$2 billion dollar business with over 5,000 associates

Summary :

Crane Authentication provides a range of software platforms with sophisticated anti-counterfeit, anti-piracy, anti-fraud capabilities and track and trace solutions capable of handling billions of transactions per day. Our customers are global brands and Governments.

We are seeking a highly skilled and forward-thinking AI Engineer experienced in designing, deploying, and operationalizing modern AI solutions using Generative AI , Agentic AI frameworks , Retrieval-Augmented Generation (RAG) , and Model Context Protocol (MCP) for intelligent multi-agent orchestration.

In this role, you’ll build context-aware AI agents capable of dynamic memory management, tool-based reasoning, multi-modal interaction, and consistent state maintenance across distributed AI ecosystems. You’ll work at the forefront of autonomous AI system design integrating multi-model workflows, RAG pipelines, tool-augmented agents, and persistent context protocols.

Key Accountability :

• Design, develop, and deploy advanced AI systems leveraging LLMs , multi-modal models , and autonomous agent frameworks .
• Architect and implement Retrieval-Augmented Generation (RAG) pipelines integrated with vector databases for dynamic, enterprise-safe context retrieval.
• Develop and manage context-aware AI agents leveraging Model Context Protocol (MCP) or equivalent structured context management mechanisms for persistent memory, multi-agent collaboration, and session continuity.
• Implement context propagation, state serialization, and contextual handoff mechanisms across distributed agents, tools, and reasoning chains.
• Integrate AI systems with cloud APIs, vector databases, plugin architectures, and orchestration frameworks for multi-step task execution.
• Optimize memory management, prompt engineering, and dynamic context windows for complex, long-running AI workflows.
• Lead AI agent orchestration initiatives using frameworks like LangChain , Semantic Kernel , CrewAI , or AutoGen , with MCP integration for context tracing and governance.
• Stay ahead of emerging trends in multi-agent LLM ecosystems , autonomous reasoning frameworks , and context-aware AI protocol standards like MCP.

Required Experience :

Preferred Skills :

Education Qualification :

Common to all roles

WHAT’S IN IT FOR YOU?

Crane Authentication is part of Crane NXT

Crane NXT is a premier industrial technology company that provides proprietary and trusted technology solutions to secure, detect, and authenticate what matters most to its customers. Crane NXT has approximately 5,000 employees with global operations and manufacturing facilities in the United States, the United Kingdom, Mexico, Japan, Switzerland, Germany, Sweden, and Malta. For more information, visit www.Cranenxt.Com.

We value diversity at our company. Everyone who applies with the qualifications will receive consideration for employment without regard to : age, colour, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and / or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law.

We receive a high number of applications, so apologies if we are unable to provide specific feedback. If we feel you are a fit for the role, we’ll be in contact.