Job Description & How to Apply Below
Drive innovation as a Senior Generative AI Engineer at Tiger Analytics. Your extensive background in AI and machine learning will empower you to tackle the most complex business problems.
This role emphasizes designing and executing cutting-edge Generative AI systems and multi-agent workflows. You will refine large language models and develop strategies to enhance reliability and reduce hallucination impacts, ensuring client satisfaction and operational success.
Key Responsibilities:
• Develop and implement end-to-end AI solutions
• Fine-tune LLMs and apply reinforcement learning principles
• Create multi-agent workflows with Lang Graph and others
• Execute evaluation and testing for model performance
• Monitor and continuously improve AI system reliability
Requirements:
• 5+ years in software engineering or AI domains
• Expert in Lang Graph and agentic system design
• Solid understanding of reinforcement learning techniques
• Demonstrable skills in experimental design and analysis
• Proficient in Python and modern machine learning tools
Your expertise in Generative AI can transform businesses at Tiger Analytics. Explore significant career growth in a challenging environment.
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Position Requirements
10+ Years
work experience
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