1.GenAI Development & Integration

• Design and implement GenAI workflows for enterprise use cases.
• Develop prompt engineering strategies and feedback loops for LLM optimization.
• Capture and normalize LLM interactions into reusable Knowledge Artifacts.
• Integrate GenAI systems into enterprise apps (APIs, microservices, workflow engines)
• Programming languages: Python

2. Model Gateway & Multi-LLM Strategy

•  Architect model gateways to access multiple LLMs (OpenAI, Anthropic, Cohere, etc.).
•  Dynamically select models based on accuracy vs. cost trade-offs.
•  Benchmark and evaluate models for enterprise-grade performance.

3. Agentic Workflows

•  Design and implement agent-based orchestration for multi-step reasoning and autonomous task execution.
• Design and implement agentic workflows using industry-standard frameworks for autonomou...