Prompt Engineer at Delphia

San Francisco, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Requirements

Minimum 2 years of hands-on prompt engineering experience with production LLM applications
Bachelor's degree in Computer Science, AI/ML, Linguistics, or related technical field
Extensive experience with multiple LLM APIs and platforms (OpenAI, Anthropic, Google)
Strong understanding of transformer architectures and natural language processing
Experience with systematic prompt evaluation and A/B testing methodologies
Research background in NLP/ML preferred; published work in prompt engineering a plus
Hands-on experience with large language models and complex research challenges
Ability to work independently and collaboratively as part of a team
Strong problem-solving skills and attention to detail
Excellent communication and collaboration skills

Responsibilities

Design and optimize complex prompts for various LLMs to train AI mind architecture
Develop systematic approaches using few-shot learning, chain-of-thought reasoning, and advanced prompting techniques
Collaborate with research scientists to integrate prompt engineering into AI research projects
Conduct experiments to evaluate prompt performance and document best practices
Stay current with latest developments in prompt engineering and contribute to research publications
Participate in research projects and contribute to the development of AI mind architecture
Work with the research team to integrate prompt engineering into AI research projects
Evaluate and improve prompt performance through experimentation and documentation
Document best practices and share knowledge with the team
Collaborate with the team to develop and implement new prompt engineering techniques

Skills

Key technologies and capabilities for this role

Prompt EngineeringLarge Language Models (LLMs)Few-shot learningChain-of-thought reasoningAI ResearchExperimentation

Questions & Answers

Common questions about this position

What is the compensation for this Prompt Engineer role?

The position offers a very competitive salary and equity in a company on a breakout trajectory.

Is this Prompt Engineer position remote or onsite?

This is an onsite position requiring work from the company's office in San Francisco's Jackson Square.

What skills and experience are required for the Prompt Engineer role?

Candidates need a minimum of 2 years of hands-on prompt engineering experience with production LLM applications, a Bachelor's degree in Computer Science, AI/ML, Linguistics, or related field, extensive experience with multiple LLM APIs like OpenAI, Anthropic, and Google, strong understanding of transformer architectures and NLP, and experience with systematic prompt evaluation and A/B testing.

What is the company culture like at Delphi?

The team consists of former founders and entrepreneurial individuals tackling hard problems and immense initiatives, with a collaborative environment that pushes each other while working from a beautiful office.

What makes a strong candidate for this Prompt Engineer position?

A strong candidate will have a research background in NLP/ML, preferably with published work in prompt engineering, in addition to the minimum required experience.

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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