Applied AI Engineer at Delphia

San Francisco, California, United States

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$200,000 – $350,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Deep understanding of how LLMs work with proven ability to apply them effectively, push their performance, and optimize through advanced prompt engineering techniques
Strong experience with Python beyond surface level—expert with asynchronous programming, event loop optimization, and performance tuning for high-scale applications
Hands-on experience with retrieval-augmented generation, context engineering, and evaluation frameworks for LLM performance optimization
Skilled traditional software engineer with deep familiarity in ML/AI systems—you understand both the engineering and AI sides without needing a research background
Ability to architect scalable backend systems while building AI-powered features that directly impact user experience and product outcomes
Bonus: Previous experience with graph-based retrieval and graph systems, AWS and cloud infrastructure understanding, and hands-on experience fine-tuning models

Responsibilities

Graph Architecture & Design: design scalable knowledge graph architectures, develop novel embeddings to capture nuanced relationships, and build efficient indexing and retrieval for real-time querying
Evals for the Mind: defining the core components of the human mind, building strong mind architectures, giving customers confidence their minds improve over time, and advancing tone and style transfer to better reflect individuality
RAG System Innovation: build next-generation RAG systems that merge graph-based reasoning with neural retrieval and include robust evaluation frameworks to optimize quality across query types
Infrastructure & Scaling: scale infrastructure to support distributed, low-latency graph operations across thousands of instances with comprehensive monitoring and debugging tools

Skills

Knowledge Graphs

Graph Architecture

RAG

AI Architecture

Machine Learning

Delphia

AI-driven insights for professional investors

About Delphia

Delphia operates in the financial technology sector, focusing on using artificial intelligence and alternative consumer data to provide insights for professional investors. The company collects and analyzes large amounts of data to create predictive models and investment strategies that help institutional clients, such as hedge funds and asset managers, make informed decisions in the capital markets. Delphia differentiates itself from competitors by emphasizing the ethical and transparent use of personal data, ensuring compliance with legal standards. The company's goal is to generate value for its clients through data-driven insights, earning revenue from subscription fees and performance-based models.

Toronto, CanadaHeadquarters

2018Year Founded

$77.3MTotal Funding

SERIES_ACompany Stage

Fintech, AI & Machine Learning, Financial ServicesIndustries

11-50Employees

Risks

Rapid AI evolution may outpace Delphia's current technological capabilities.

Intensifying regulatory scrutiny could impact Delphia's operations and increase compliance costs.

Volatility in digital asset markets poses financial risks to Delphia's strategies.

Differentiation

Delphia uniquely rewards investors for sharing data to enhance investment returns.

The company integrates traditional and decentralized finance through its digital asset ecosystem.

Delphia's ethical data use aligns with increasing demand for sustainable investment insights.

Upsides

Delphia's AI-driven models excel in the growing personalized finance solutions market.

The rise of DeFi platforms enhances Delphia's digital asset ecosystem potential.

Increasing alternative data sources boost Delphia's predictive model capabilities.

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