Artificial Intelligence Engineer

5 years

0 Lacs

Posted:19 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

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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