Builds and optimizes backend APIs and pipelines for document parsing using LLMs, handling PDFs/spreadsheets at scale. Requires 2+ years experience, exceptional Python, and high agency in production AI systems.
150k – 300k/yr
On-site2+ YOEML Engineering
About the role
Responsibilities
Integrating and optimizing LLM calls for structured extraction, form filling, and document understanding tasks
Making improvements to API design and pre-processing algorithms (chunking, structured extraction, etc.) based on customer feedback
Building and improving document processing pipelines that handle everything from PDFs to spreadsheets at scale
Experimenting with new techniques and output structures to improve LLM accuracy and reduce latency
Building internal tooling and evals to better understand/analyze failure cases
Working directly with the founders and customers to shape the product direction and engineering strategy
Requirements
2+ years of experience building real world applications and integrating LLMs into production systems
Exceptional at Python
Build your own tools as needed (e.g., Streamlit app to test hypotheses or create datasets)
Quantitative approach: debug, experiment, and iterate fast
Hands-on with full development lifecycle, from ideation to shipping
Nice-to-Haves
Prior experience founding a company or building products at early stages
Experience with prompt engineering, fine-tuning, or building AI agents
Keep up with latest developments in ML/AI
Benefits
Unlimited PTO
Free daily lunch at office
Reimbursed transportation
Generous health insurance (medical, dental, vision)
Quantitative Researcher developing cutting-edge ML and statistical models to identify predictive signals in global financial markets. Requires PhD in a STEM field, strong Python skills, and interest in ML/AI; no finance experience needed. Matched to Alpha Research, Data Science, or Strategy Research teams.
150k – 200k/yr
On-siteEntry levelML Engineering
AI Engineer, Evaluation
Distyl AISan Francisco, CA +1
Design and implement evaluation frameworks and pipelines for AI systems using Evaluation-Driven Development. Build Python-based test suites, LLM graders, and measurement systems that guide prompt iteration and production deployment decisions.
150k – 250k/yr
Hybrid2+ YOEML Engineering
AI Engineer - Data Intelligence
ClariumUnited States
As an AI Engineer, you will build and maintain Clarium's master data enrichment pipeline, focusing on classification and entity resolution workflows. You will write production Python and SQL code, analyze complex datasets, and proactively audit data for quality issues.
150k – 180k/yr
RemoteEntry levelML Engineering
Forward Deployed Engineer
Bretton AISan Francisco, CA
Forward Deployed Engineer deploys AI agents for financial services customers, handles onsite integrations in regulated environments, builds connectors and frameworks, and translates customer needs into product insights. Requires 2+ years software engineering with Python, APIs, data pipelines, cloud, and AI experience.
150k – 200k/yr
On-site2+ YOEML Engineering
Early Career Research Engineer
ParallelPalo Alto, CA +1
Designs and trains embedding and retrieval models for AI agents to access web data at hyperscale, balancing research innovation with production efficiency for sub-second latency and fresh indexes.