Parcha
Senior Applied AI Engineer
Parcha, San Francisco, California, United States, 94199
About UsParcha is building the automation layer for fintech and banks. Our platform leverages cutting-edge language models and machine-learning techniques to automate complex compliance workflows while maintaining the highest standards of accuracy and reliability. Leading financial institutions trust us to handle their most sensitive compliance processes.
The RoleWe are looking for an Applied AI Engineer to drive innovation in our compliance automation platform. You'll work at the frontier of language model applications, developing novel solutions for document processing, due diligence, and risk assessment while ensuring robust evaluation and governance of AI systems.
What You'll Do
Design and implement innovative LLM-powered solutions for compliance automation
Develop sophisticated prompting strategies and RAG architectures
Apply fine-tuning and in-context learning techniques
Create custom evaluation frameworks
Build robust model evaluation and governance systems
Design comprehensive back-testing methodologies
Implement A/B testing frameworks
Monitor model performance and drift
Research and apply cutting-edge AI techniques
Evaluate new models and architectures
Experiment with novel training approaches
Develop custom RAG implementations
Write production-quality code to implement ML systems
Design scalable architectures
Implement proper monitoring
Ensure system reliability
What We're Looking For
Deep expertise in modern LLMs and their applications
Prompt engineering and chain-of-thought techniques
RAG architectures and vector databases
Fine-tuning and model adaptation
Strong foundation in ML evaluation and testing
Back-testing methodologies
A/B testing frameworks
Model monitoring and governance
Solid software engineering fundamentals
Ideal Candidates Have
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
Publications or open-source contributions
Our Tech Stack
Modern LLM APIs (OpenAI, Anthropic, AWS Bedrock, GCP Vertex AI, etc.)
Vector databases and RAG frameworks
Python ML ecosystem
Cloud infrastructure (GCP)
Benefits
Competitive salary and substantial stock options
Comprehensive health coverage: medical, dental, and vision insurance
Relocation assistance to San Francisco
Flexible PTO policy
Regular team-building activities and offsites
Professional development budget
Opportunity to significantly impact the direction of a high-growth AI startup
Why Parcha?
Work at the intersection of AI innovation and regulatory compliance
Solve complex problems with real-world impact
Access to the latest AI technologies and research
Collaborate with leading financial institutions
Join a well-funded startup with strong market traction
Parcha is committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, especially those from historically underrepresented groups in tech. Join us in building the future of enterprise AI!
Compensation Range: $175K - $225K
#J-18808-Ljbffr
The RoleWe are looking for an Applied AI Engineer to drive innovation in our compliance automation platform. You'll work at the frontier of language model applications, developing novel solutions for document processing, due diligence, and risk assessment while ensuring robust evaluation and governance of AI systems.
What You'll Do
Design and implement innovative LLM-powered solutions for compliance automation
Develop sophisticated prompting strategies and RAG architectures
Apply fine-tuning and in-context learning techniques
Create custom evaluation frameworks
Build robust model evaluation and governance systems
Design comprehensive back-testing methodologies
Implement A/B testing frameworks
Monitor model performance and drift
Research and apply cutting-edge AI techniques
Evaluate new models and architectures
Experiment with novel training approaches
Develop custom RAG implementations
Write production-quality code to implement ML systems
Design scalable architectures
Implement proper monitoring
Ensure system reliability
What We're Looking For
Deep expertise in modern LLMs and their applications
Prompt engineering and chain-of-thought techniques
RAG architectures and vector databases
Fine-tuning and model adaptation
Strong foundation in ML evaluation and testing
Back-testing methodologies
A/B testing frameworks
Model monitoring and governance
Solid software engineering fundamentals
Ideal Candidates Have
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
Publications or open-source contributions
Our Tech Stack
Modern LLM APIs (OpenAI, Anthropic, AWS Bedrock, GCP Vertex AI, etc.)
Vector databases and RAG frameworks
Python ML ecosystem
Cloud infrastructure (GCP)
Benefits
Competitive salary and substantial stock options
Comprehensive health coverage: medical, dental, and vision insurance
Relocation assistance to San Francisco
Flexible PTO policy
Regular team-building activities and offsites
Professional development budget
Opportunity to significantly impact the direction of a high-growth AI startup
Why Parcha?
Work at the intersection of AI innovation and regulatory compliance
Solve complex problems with real-world impact
Access to the latest AI technologies and research
Collaborate with leading financial institutions
Join a well-funded startup with strong market traction
Parcha is committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, especially those from historically underrepresented groups in tech. Join us in building the future of enterprise AI!
Compensation Range: $175K - $225K
#J-18808-Ljbffr