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Artificial Intelligence Engineer - LLM/NLP

Shya Workforce Solutions
Gurgaon/Gurugram
5 - 8 Years

Posted on: 15/10/2025

Job Description

About the Role :


Join our platform team to build and enhance our production-grade AI-powered virtual assistant that delivers real-time technical support and elevates decision-making through interactive engagement.


This production-focused role requires deep expertise in agentic AI systems and enterprise Java development.


Key Responsibilities :


- Design and deploy production-ready AI conversational agents using Java-based architectures


- Develop agentic AI systems with advanced reasoning and decision-making capabilities


- Create sophisticated prompt engineering strategies for complex multi-turn conversations


- Implement and fine-tune LLMs and NLP pipelines for enterprise-scale deployment


- Develop APIs and backend integrations using Java frameworks


- Integrate virtual assistants with enterprise systems (CRM, analytics, cloud platforms)


- Implement advanced agentic workflows including tool usage and multi-step reasoning


- Ensure enterprise-grade security, privacy, and compliance in AI operations


- Document architectures, prompt strategies, and codebases for team transparency


Required Qualifications :


- Bachelor's/Master's in Computer Science, AI, Data Science, or related field


- 5+ years Java development experience in enterprise environments


- 3+ years agentic AI systems experience (agent frameworks, reasoning, autonomous decision-making)


- Extensive prompt engineering experience (chain-of-thought, few-shot learning, complex reasoning)


- Strong LLM integration, fine-tuning, and production deployment experience


- Enterprise-scale AI/ML applications beyond POC development


- Java frameworks expertise (Spring, Spring Boot, Hibernate)


- Real-time deployment and backend development (microservices, databases, message queues)


- Advanced NLP knowledge : intent classification, entity extraction, RAG, agentic reasoning


- Cloud infrastructure experience (AWS, Azure, GCP)


- Enterprise security and compliance understanding


Preferred Skills :


- Agentic AI frameworks (LangChain, AutoGPT, LangGraph, CrewAI)


- Advanced prompt engineering certifications


- Front-end development (React, Angular)


- Voice/speech technologies and multi-channel deployment


- MLOps, model versioning, enterprise AI governance


- Enterprise software architecture and system design


Why Join Us :


- Lead cutting-edge agentic AI development in production environments


- Work with enterprise-grade technology and complex AI challenges


- Collaborative, growth-focused team with continuous learning


- Competitive compensation and flexible work arrangements


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