Generative AI Engineer

About

Elevate your career in AI with Tiger Analytics as a Generative AI Engineer. Contribute to groundbreaking work by utilizing your expertise in advanced AI systems and model fine-tuning, focusing on real-world applications.

As a key team member, you'll design, build, and implement advanced Generative AI solutions. Your role requires strong proficiency in agentic frameworks, reinforcement learning, and reducing hallucinations through innovative approaches. Collaborate with experts to enhance machine learning capabilities and deliver impactful results.

Key Responsibilities

• Design and deploy end-to-end Generative AI systems
• Develop multi-agent workflows with LangGraph and MCP
• Fine-tune large language models for optimal performance
• Apply reinforcement learning to improve decision-making
• Execute experimentation frameworks and A/B testing

Requirements

• 5+ years in software engineering or AI roles
• Hands-on experience with LangGraph and agentic workflows
• Proven skills in fine-tuning LLMs and reinforcement learning
• Strong understanding of experimental design principles
• Proficiency in Python and modern ML frameworks

Shape the future of enterprise AI with your advanced skills and innovative solutions at Tiger Analytics.