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

𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗜 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 Limited Time – Click