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Generative AI Engineer

Deloitte US-India Offices

Hyderabad, Telangana, India (Hybrid) · Tam zamanlı

Başvuran ilk kişi siz olun

Deneyim
Herhangi
Maaş
Açılışlar
1
Yayınlandı
5 saat önce
Çalışma modu
Hibrit
Uygunluk
Open to candidates regardless of graduation status.
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İş tanımı

About the Role

We are seeking a skilled Generative AI Engineer to join our team at Deloitte Consulting India Private Limited. This role involves extensive full stack development with a focus on AI and machine learning technologies and integration of large language models and agent frameworks to build innovative AI-driven applications.

Responsibilities and Required Expertise

  • Develop full stack solutions using Python for backend AI/ML services and modern frontend frameworks such as React, Angular, or Vue.
  • Implement and work with large language models and agent frameworks like LangChain, LangGraph, and Semantic Kernel.
  • Design and develop RESTful APIs, microservices, and event-driven architectures for seamless AI platform integration.
  • Deploy and manage solutions using cloud platforms including AWS, Azure, and Google Cloud Platform along with container technologies like Docker and Kubernetes.
  • Apply data engineering principles including ETL processes, managing data lakes, and enabling real-time data workflows.
  • Ensure compliance with security standards and best practices in AI application deployment.
  • Collaborate effectively across teams with strong communication and problem-solving skills.

Preferred Qualifications

  • Experience in production deployment of agentic AI systems.
  • Knowledge of prompt engineering and generative AI application design.
  • Familiarity with DevOps toolchains such as GitLab CI/CD, Jenkins, and Terraform.
  • Experience with monitoring and observability tools including Grafana, Prometheus, and AWS CloudWatch.
  • Exposure to working in regulated sectors like healthcare or finance is advantageous.

Additional Details

Job Locations: Hyderabad, Bengaluru, Pune, Chennai

Work Arrangement: Hybrid model combining onsite and remote work.

Eligibility

Candidates without a formal graduation degree are eligible to apply.

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