Job Description
- Accelerated growth path
- Global exposure
Job Description
- Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks.
- Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed
- Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data.
- Implement LLM-based agents and automation. Integrate generative AI agents (e.g., chatbots, AI copilots, content generators) into business processes to automate data processing and decision-making tasks.
- Optimize performance and safety. Continuously evaluate and improve model/system performance
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