LLM Platform Engineer
WhatNotFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $175K - $225K.
This is an onsite role in San Francisco.
Required skills include deep expertise in modern LLMs, prompt engineering and chain-of-thought techniques, RAG architectures and vector databases, fine-tuning and model adaptation, strong foundation in ML evaluation and testing, and solid software engineering fundamentals.
Benefits include competitive salary and substantial stock options, comprehensive health coverage (medical, dental, vision), relocation assistance to San Francisco, flexible PTO, regular team-building activities and offsites, professional development budget, and opportunities to impact a high-growth AI startup.
Ideal candidates have an advanced degree in ML, CS, or related field, experience applying LLMs to real-world problems, background in financial compliance or RegTech, track record of implementing novel AI techniques, experience in fast-paced startup environments, and publications or open-source contributions.
AI solutions for onboarding and compliance
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.