Gen AI (Immediate Joiners)

Roles and Responsibilities:

• Design and develop generative AI models using Python, LLM, and ML techniques.
  
• Collaborate with cross-functional teams to integrate generative AI solutions into existing systems.
  
• Develop high-quality code that meets industry standards and best practices.
  
• Participate in code reviews to ensure adherence to coding guidelines.
  
  
  
• Troubleshoot issues related to generative AI model performance and data quality.
  

Key Skills Required:

• Strong proficiency in Python and experience with ML/AI libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face ecosystem).
• Hands-on experience with LLMs, RAG, vector databases, and retrieval pipelines.

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  Practical experience deploying agentic workflows and building multi-step, tool-enabled agents.
• Experience using Garak (or similar LLM red-teaming/vulnerability scanners) to identify model weaknesses and harden deployments.
• Demonstrated experience implementing content filtering / moderation systems.
• Solid skills working with structured and unstructured data and advanced feature engineering.
• Familiarity with cloud GenAI platforms and services (Azure AI Services preferred; AWS/GCP acceptable).
• Experience building APIs/microservices; containerization (Docker), orchestration (Kubernetes).
• Strong understanding of model evaluation, performance profiling, inference cost optimization, and observability.
• Good knowledge of security, data governance, and privacy best practices for AI systems.