Gen AI Engineer

• Develop and implement AI/ML solutions using Python and key ML libraries such as PyTorch, scikit-learn, and Hugging Face

• Design, build, and deploy GenAI and LLM-based applications including RAG systems, chat assistants, copilots, content generation, summarization, and workflow automation

• Work with agent frameworks (LangGraph, Semantic Kernel, LangChain, AutoGen, CrewAI, OpenAI Assistants) and integrate external tools

• Deploy and manage solutions on cloud GenAI stacks like Azure OpenAI / Azure AI Studio, AWS Bedrock, or Google Vertex AI, including vector search implementation

• Implement evaluation and safety guardrails, including jailbreak/prompt-injection mitigation, PII redaction, and compliance-focused design

• Build enterprise copilots or assistants integrated with business systems such as ticketing, CRM/ERP, data lakes, and search

• Apply routing, mixture-of-models, and cost-aware policy design for efficient LLM usage

• Design dashboards and perform operational/product analytics using tools like Power BI or Superset