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Applied Scientist, AGI Information - Job Opportunity at Evi Technologies Limited

Cambridge, GB
Full-time
Senior
Posted: April 26, 2025
On-site
GBP 120,000 - 180,000 per year based on Cambridge market rates for senior AI researchers

Benefits

Competitive AI industry compensation package
Work on cutting-edge AI technologies
Opportunity to impact major Amazon products
Professional development in advanced AI research
Collaboration with top-tier research teams

Key Responsibilities

Lead research initiatives in LLM technologies for Alexa and AWS applications
Develop and implement RAG techniques for AI systems integration
Drive research from conception to production deployment
Collaborate with cross-functional teams to maximize research impact
Design and optimize machine learning models for business applications
Lead technical decision-making for AI information systems

Requirements

Education

PhD, or Master's degree in CS, CE, ML or related field

Experience

Senior level experience required

Required Skills

Java, C++, Python programming Algorithms and data structures Parsing Numerical optimization Data mining Parallel and distributed computing High-performance computing Natural language processing Multi-modal data processing Unix/Linux LLM training and evaluation Professional software development
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Sauge AI Market Intelligence

Industry Trends

The AGI information space is experiencing rapid evolution with RAG techniques becoming central to enterprise AI applications There's a significant shift towards integrating multiple data modalities in AI systems, particularly in large tech companies The focus on productionizing AI research is intensifying, with shorter research-to-deployment cycles

Role Significance

Likely part of a specialized research team of 5-8 scientists with additional engineering support
Senior technical position with significant autonomy in research direction and implementation decisions

Key Projects

Integration of RAG systems into major Amazon products Development of novel information processing techniques for LLMs Cross-product AI capabilities enhancement Enterprise-scale machine learning system optimization

Success Factors

Deep expertise in current LLM architectures and training methodologies Ability to balance research innovation with practical implementation requirements Strong collaboration skills across technical and business teams Track record of moving research from concept to production Experience with large-scale distributed systems

Market Demand

Very high demand with significant competition for talent in AGI research, particularly in Cambridge's tech hub

Important Skills

Critical Skills

LLM expertise - essential for core role responsibilities and current AI trends RAG techniques - key to next-generation AI information systems Production ML experience - crucial for implementing research in live systems

Beneficial Skills

Cloud computing knowledge Distributed systems expertise Business process understanding Patent development experience

Unique Aspects

Direct application of research to major consumer products
Access to vast Amazon infrastructure and data resources
Opportunity to influence direction of major AI products
Balance of academic-style research with practical implementation

Career Growth

2-4 years typical progression to next level based on impact and innovation

Potential Next Roles

Principal Applied Scientist Research Director Chief AI Scientist Technical Fellow

Company Overview

Evi Technologies Limited

Evi Technologies Limited operates as an Amazon subsidiary focusing on advanced AI research and development

Part of Amazon's strategic AI research initiatives, positioning it at the forefront of AGI development
Key player in Cambridge's growing AI research hub with strong academic connections
Fast-paced research environment with high emphasis on practical implementation and business impact
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