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Generative AI Engineer
Generative AI EngineerXemplar Insights • Hyderabad, India
Generative AI Engineer

Generative AI Engineer

Xemplar Insights • Hyderabad, India
30+ days ago
Job description

Job Title : Generative AI Engineer (Agentic AI)

Location : Hyderabad (Work from Office)

Experience : 7+ years

Employment Type : Full-Time

About the Role :

We are seeking a highly skilled Generative AI Engineer to design, develop, and deploy intelligent AI systems, including LLMs, Generative AI, and Agentic AI applications. The ideal candidate will work on cutting-edge projects, collaborate with cross-functional teams, and drive innovation in AI solutions leveraging AWS tools and modern AI frameworks.

Key Responsibilities :

  • Design, develop, and maintain Python-based applications and AI services.
  • Develop autonomous AI agents capable of reasoning, task execution, and multi-step decision-making.
  • Work with LLMs, Generative AI models, and integrate with AWS services like Lambda, Lex, SageMaker, and S3.
  • Collaborate with business and technical teams to understand requirements, propose solutions, and deliver high-quality implementations.
  • Research and implement the latest AI libraries, tools, and frameworks to enhance functionality and performance.
  • Troubleshoot, debug, and optimize applications and models for reliability and efficiency.
  • Write clean, maintainable, and well-tested code; contribute to CI / CD pipelines and GitHub version control.
  • Stay up-to-date with AI / ML trends, best practices, and Agentic AI developments.

Qualifications & Skills :

  • Bachelor’s degree in computer science, Engineering, or a related field.
  • 7+ years of hands-on Python development experience for AI or backend applications.
  • Strong experience with Generative AI, LLMs, and Agentic AI frameworks (LangChain, Llama Index, or similar).
  • Proficiency in data manipulation and analysis using Pandas, NumPy, and database integrations.
  • Knowledge of API integrations, multithreading, and structured programming.
  • Experience with AWS AI / ML services and cloud-native application deployment.
  • Familiarity with GitHub, CI / CD, and software development best practices.
  • Excellent problem-solving, analytical, and communication skills
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