Agentic AI & Multi-Agent Systems
- Design and implement agent-based architectures using CrewAI, LangGraph, AutoGen, LangChain, or similar frameworks
- Build multi-agent workflows for task orchestration, autonomous decision-making, and execution
- Integrate LLMs with tools, APIs, and memory systems
Model Development & Fine-Tuning
- Fine-tune and adapt pre-trained LLMs (e.g., Mistral Large, Gemini Flash, OpenAI models, AWS Bedrock)
- Develop NLP solutions for summarization, classification, and text generation
- Contribute to internal or open-source model repositories
Data Engineering & Processing
- Pre-process and analyze large-scale datasets
- Collaborate with data engineering teams on scalable data pipelines
Evaluation & Optimization
- Implement evaluation metrics
- Optimize models for performance, latency, and scalability
Collaboration & Research Integration
- Partner with research, product, and engineering teams
- Stay current with advancements in LLMs, agentic architectures, and AI safety
Documentation & Communication
- Maintain technical documentation for models and agent workflows
- Present findings to both technical and non-technical stakeholders
