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.

We’re looking for a Senior AI Pipeline Engineer who wants to own real production AI systems, not just experiments.

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.

Maintain and improve our Python document processing pipelines running on AWS Lambda + S3 + Docker.

Improve contract interpretation and structured extraction using LLMs, structured outputs, and retrieval pipelines.

Design and ship new pipelines for additional document types with evaluation datasets and regression checks.

Help build the foundations for agentic contract drafting and interpretation systems.

Improve observability, monitoring, cost control, and failure handling for real production workloads.

Python
AWS Lambda
Docker
S3
Azure LLM APIs
React / TypeScript
Java backend

• 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)

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

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.