Responsibilities:
Explore and Build with LLMs
- Experiment with large language models (GPT, LLaMA, Claude, Mistral, etc.).
- Explore new prompting patterns, fine-tuning methods, and retrieval strategies.
- Quickly turn ideas into prototypes and validate concepts creatively.
Orchestrator Frameworks & Multi-Agent Systems
- Work with LangChain, LlamaIndex, CrewAI, and emerging orchestration tools.
- Build multi-step workflows, context managers, memory modules, and tool-based actions.
- Design agents that collaborate, debate, plan, and execute tasks autonomously (A2A workflows).
- Convert experimental agents into enterprise-ready pipelines.
Enterprise-Scale AI & Cloud Deployment
- Scale prototypes into real applications using Azure services such as Azure OpenAI, App Service, Functions, AKS, and ADLS.
- Implement best practices in Git, CI/CD, microservices, Docker, and cloud platforms for AI workloads.
Continuous Learning & Innovation
- Stay updated with AI research papers, trends, and new libraries.
- Participate in internal hackathons, AI/GenAI forums, and share innovative PoCs.
- Continuously propose fresh ideas and novel AI techniques to the team.
