Generative AI Engineer

1 week ago


Hyderabad, Telangana, India Xemplar Insights Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Job Title:
Generative AI Engineer (Agentic AI)

Location:
Hyderabad (Work from Office)

Experience:
4+ 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.
  • 4+ 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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