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