Generative AI Engineer

Job Title:

Location:

Experience:

Employment Type:

About the Role:

Generative AI Engineer

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