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GEN AI Engineer (Agentic AI)
It’s a global digital engineering and technology (MNC)
GEN AI Engineer (Agentic AI)
Unique Occupational's logo

GEN AI Engineer (Agentic AI)

at It’s a global digital engineering and technology (MNC)

Agency job
7 - 9 yrs
₹32L - ₹35L / yr
Gurugram
Skills
Generative AI
Large Language Models (LLM)
Agentic AI
Google Cloud Platform (GCP)

Job Details:

  • Role: Senior Staff Engineer, AI,LLM
  • Experience: 7-9 Years
  • Employment Type: Full-time
  • Work Mode: Gurugram (Hybrid)


REQUIREMENTS:


• Strong experience in AI/ML Engineering and Generative AI solution development.

• Hands-on expertise in Python development for AI/ML applications and scalable AI services (Must Have).

• Strong experience with GCP and Vertex AI, including model deployment, pipelines, and AI services (Must Have).

• Deep understanding of LLMs, Foundation Models, embeddings, prompt engineering, and RAG architectures (Must Have).

• Hands-on experience building Agentic Workflows and AI Agents (Must Have).

• Experience with Vector Search, AI security, governance, and responsible AI practices.

• Strong knowledge of MLOps, CI/CD, automated testing, and Infrastructure as Code.

• Experience with observability, monitoring, logging, and tracing for AI systems.

• Strong understanding of APIs, microservices, and cloud-native architectures.

• Excellent problem-solving, communication, and stakeholder management skills.

RESPONSIBILITIES:

• Design, build, and deploy production-grade Generative AI and Agentic AI solutions using GCP and Vertex AI.

• Develop AI Agents, Agentic Workflows, and RAG-based solutions leveraging enterprise data sources.

• Design secure, scalable, and reliable AI architectures aligned with business requirements.

• Build and maintain AI platforms, APIs, and reusable AI components.

• Implement AI security, governance, monitoring, observability, and performance optimization practices.

• Establish and manage CI/CD pipelines and MLOps processes for AI solutions.

• Design and execute AI testing, evaluation, and quality assurance strategies.

• Collaborate with Product, Engineering, and Data Science teams to deliver AI-powered solutions.

• Develop high-quality Python code and participate in code reviews and architecture discussions.

• Research emerging AI technologies and drive continuous improvement and innovation.

• Troubleshoot production issues and provide technical leadership and mentoring.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related fields,



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