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

Key technologies and capabilities for this role

Knowledge GraphsGraph ArchitectureRAGAI ArchitectureMachine Learning

Questions & Answers

Common questions about this position

What is the salary range for the Applied AI Engineer position?

The salary range is $200K - $350K.

Is this role remote or onsite?

The position is onsite.

What skills are required for this role?

Required skills include deep understanding of LLMs with proven application ability, advanced prompt engineering, and Python performance expertise. Experience in graph architecture design, RAG systems, and scalable infrastructure is also essential.

What is the company culture like at Delphia?

Delphia is redefining knowledge sharing with interactive digital minds, backed by top investors like Sequoia Capital and featuring a team of founders from Apple, Spotify, and Substack. They emphasize bold missions to make human wisdom abundant and have seen tripled growth organically.

What makes a strong candidate for this Applied AI Engineer role?

Strong candidates bring LLM expertise, Python skills, and experience in knowledge graphs, RAG innovation, and scalable infrastructure to architect Delphi's mind architecture.

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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