Strong production Python experience Experience owning real production systems AWS serverless experience (Lambda S3) Docker / containerized services Experience with LLM pipelines
Ideally also:
RAG pipelines structured outputs evaluation / test datasets document AI (OCR / PDFs)
Why this role is interesting
You will be working on one of the hardest real-world AI problems:
Turning unstructured legal documents into reliable structured intelligence.
This requires solving challenges in:
document parsing LLM reliability evaluation systems pipeline orchestration AI safety and validation
About Inhubber
Inhubber is a security-first Contract Lifecycle Management (CLM) platform designed for organizations with high compliance and data protection requirements.
Our platform combines:
end-to-end encryption cloud infrastructure AI document intelligence
to make complex contracts understandable and manageable.
Were hiring a Senior AI Pipeline Engineer (Python / AWS / LLMs) At Inhubber we are building a security-first AI platform for contract intelligence. Our system processes sensitive legal documents for companies worldwide combining: end-to-end encryption modern cloud infrastructure advanced AI docum...
Were hiring a Senior AI Pipeline Engineer (Python / AWS / LLMs)
At Inhubber we are building a security-first AI platform for contract intelligence.
Our system processes sensitive legal documents for companies worldwide combining:
end-to-end encryption modern cloud infrastructure advanced AI document analysis
We are now scaling our AI document pipelines and GenAI capabilities.
Were looking for a Senior AI Pipeline Engineer who wants to own real production AI systems not just experiments.
What you will own
You will take ownership of our AI document processing pipelines.
Your work will power:
automated contract analysis structured data extraction legal document Q&A next-generation AI contract drafting
This is a hands-on engineering role not research.
You will build reliable AI pipelines that run in production at scale.
What youll work on
Production AI pipelines
Maintain and improve our Python document processing pipelines running on AWS Lambda S3 Docker.
LLM-powered extraction
Improve contract interpretation and structured extraction using LLMs structured outputs and retrieval pipelines.
New document pipelines
Design and ship new pipelines for additional document types with evaluation datasets and regression checks.
GenAI systems
Help build the foundations for agentic contract drafting and interpretation systems.
Reliability & operations
Improve observability monitoring cost control and failure handling for real production workloads.
Strong production Python experience Experience owning real production systems AWS serverless experience (Lambda S3) Docker / containerized services Experience with LLM pipelines
Ideally also:
RAG pipelines structured outputs evaluation / test datasets document AI (OCR / PDFs)
Why this role is interesting
You will be working on one of the hardest real-world AI problems:
Turning unstructured legal documents into reliable structured intelligence.
This requires solving challenges in:
document parsing LLM reliability evaluation systems pipeline orchestration AI safety and validation
About Inhubber
Inhubber is a security-first Contract Lifecycle Management (CLM) platform designed for organizations with high compliance and data protection requirements.
Our platform combines:
end-to-end encryption cloud infrastructure AI document intelligence
to make complex contracts understandable and manageable.