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Generative AI Engineer

Generative AI Engineer

Mahindra Satyam
6-8 Years
Not Disclosed

This job is no longer accepting applications

Job Description

Location-PAN India

Work Mode-Hybrid

Shift-3PM-12AM IST

Experience-6+ Yrs

Mandate Skill-Machine Learning, RAG, Prompt Optimization, Agentic AI, LLMops/MLOPs

JD-AI Engineer

1.Design and Refine Prompts: Create, test, and optimize prompts for large language models to deliver accurate, consistent, and context-aware outputs.

2. Develop RAG Pipelines: Build and maintain Retrieval-Augmented Generation pipelines, integrating enterprise data sources and managing vector databases domains.

3. Implement NLP Solutions: Apply advanced NLP techniques (such as classification, entity extraction, summarization) and tailor models to business needs.

4. Model Training and Fine-Tuning: Train, fine-tune, and evaluate LLMs and custom models using enterprise framework and tools.

5. LLMOps Integration: Deploy and monitor LLM workflows using LLMOps platforms like Arize or Langfuse, continuously tracking model performance, drift, errors, and user interactions for optimal outcomes.

6. Deploy and Monitor Solutions: Package, deploy, and monitor GenAI applications on Azure, optimizing for reliability, latency, and compliance.

7. Hands-on Python Development: Leverage Python for scripting, data processing, model development, and integration tasks throughout the AI solution lifecycle.

8. Collaborate and Document: Work with cross-functional teams to align technical solutions with business goals, and maintain thorough technical documentation while ensuring security, data privacy, and responsible AI standards

More Info

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Industry:
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Key Skills

LLMops

NLP Techniques

Model Training

Arize

Fine-Tuning

Agentic AI

Langfuse

RAG Prompt Optimization

LLMOps Platforms

About Company

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