Applied AI Engineer

San Francisco, California, United States

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$175,000 – $225,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Data & Analytics, FintechIndustries

Requirements

Candidates should possess a deep expertise in modern language models (LLMs) and their applications, along with experience in prompt engineering and chain-of-thought techniques. A strong foundation in machine learning evaluation and testing, back-testing methodologies, and A/B testing frameworks is required. An advanced degree in machine learning, computer science, or a related field is preferred, along with a background in financial compliance or RegTech and a track record of implementing novel AI techniques in fast-paced startup environments.

Responsibilities

The Applied AI Engineer will design and implement innovative LLM-powered solutions for compliance automation, develop sophisticated prompting strategies, and apply fine-tuning and in-context learning techniques. Responsibilities also include creating custom evaluation frameworks, building robust model evaluation and governance systems, designing comprehensive back-testing methodologies, and implementing A/B testing frameworks. The engineer will monitor model performance and drift, research and apply cutting-edge AI techniques, evaluate new models and architectures, and write production-quality code to implement machine learning systems.

Skills

LLMs

Prompt Engineering

RAG Architectures

Vector Databases

Fine-tuning

Model Evaluation

Back-testing

A/B Testing

Model Monitoring

Software Engineering

ML Evaluation

Chain-of-thought

Parcha

AI solutions for onboarding and compliance

About Parcha

Parcha provides AI-driven solutions that help banks and fintech companies improve their onboarding processes and ensure compliance with regulations. Their products focus on document verification, risk management, and compliance, allowing clients to onboard customers more quickly while adhering to necessary standards. Key features include Real Time Document Remediation, High Risk Industry Screening, and Business Ownership Verification, which streamline the verification process. Parcha stands out from competitors by utilizing open-source intelligence and proprietary databases to deliver thorough risk assessments. The company's goal is to enable financial institutions to grow confidently by addressing inefficiencies in onboarding and compliance through tailored subscription-based services.

San Francisco, CaliforniaHeadquarters

2020Year Founded

$4.9MTotal Funding

SEEDCompany Stage

Fintech, AI & Machine Learning, Financial ServicesIndustries

11-50Employees