Generative AI Engineer
Mahindra SatyamThis 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
Key Skills
LLMops
NLP Techniques
Model Training
Arize
Fine-Tuning
Agentic AI
Langfuse
RAG Prompt Optimization
LLMOps Platforms




