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Job Summary:
UniversalAGI is pioneering the next generation of autonomous AI agents designed to harness the power of business intelligence data for enterprises and government agencies. They are seeking an exceptional Founding AI Research Engineer to build LLM business intelligence evaluation frameworks, design and execute experiments to evaluate autonomous agents, and develop innovative methodologies to enhance agent performance.
Responsibilities:
• Design business intelligence LLM evaluation framework from scratch.
• Improve natural language to SQL and NoSQL queries on top of data.
• Implement, and conduct rigorous evaluation experiments and optimize agent performance.
• Continuously evaluate, monitor, review, and synthesize cutting-edge research in artificial intelligence, autonomous agents, and machine learning.
• When necessary, prototype new techniques and models for building autonomous AI agents, focusing on improving accuracy, efficiency, and scalability.
• Collaborate closely with product engineers to translate research advancements into practical applications and deployable solutions.
• Document and communicate research findings through internal presentations, reports, and potentially external publications or conferences.
• Contribute actively to defining research roadmaps, prioritizing experimental directions based on potential impact and feasibility.
Qualifications:
Required:
• Bachelor's/MSc/PhD degree in Computer Science, Engineering, AI, Machine Learning, or a closely related technical field
• 2+ years of experience conducting LLM evaluation, improving LLM response accuracy, and improving LLM intent understanding
• Experience in building LLM evaluation for business intelligence use cases and for natural language to SQL/NoSQL
• Proven track record of executing rigorous experiments and effectively analyzing data to derive actionable insights
• Familiarity with state-of-the-art research in autonomous agents, reinforcement fine tuning, deep learning, or related areas
• Thrive in a fast-paced, agile research environment, rapidly iterating based on experimental feedback and data-driven insights
• Strong programming skills, particularly in Python, with experience rapidly prototyping experimental concepts
• Ability to clearly articulate research findings and collaborate cross-functionally with product and engineering teams
Company:
UniversalAGI is a forward deployed AI black-ops lab called when institutions face their most critical, complex, and timely challenges. Founded in , the company is headquartered in San Francisco, California, US, with a team of 2-10 employees. The company is currently Early Stage. UniversalAGI has a track record of offering H1B sponsorships.
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Seniority level
Entry level
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Full-time
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Software Development
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