Principal Engineer -Intelligent Document & Context Grounding

3 нед. назад

200k–250k USD / yearUSALeadHybrid

aimachine learningenterprise softwaresoftware architecturecloud

Hands-on engineering leadership role to build AI platform for intelligent document processing and context grounding in enterprise software.

Требования

We're looking for builders.
Engineers who enjoy taking complex problems, designing elegant systems, and shipping software that customers depend upon.
Successful candidates will typically have:
10+ years building large-scale software systems
Significant experience shipping production AI products
Strong backend engineering experience in Python and/or C#
Deep understanding of distributed systems and cloud-native architectures
Experience building scalable APIs, microservices, and event-driven systems
Strong understanding of modern retrieval systems including RAG, embeddings, vector search, evaluation, and LLM-powered applications
Experience designing reliable, multi-tenant enterprise platforms
Excellent communication skills and the ability to explain complex technical concepts clearly
A track record of mentoring engineers and influencing technical direction beyond their immediate team

Условия

Enterprise AI is entering its next phase.
Organizations aren't looking for chatbots—they're looking for AI systems that can reason over their knowledge, operate responsibly, and deliver measurable business outcomes.
At , you'll help build the platform that makes that possible.
If you're excited by difficult engineering problems, modern AI systems, and building software that thousands of organizations rely on every day, we'd love to talk.
#LI-MH1
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy .

Другое

The people at believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about , and about our larger purpose.
Could that be you?
Principal Software Engineer – Intelligent Document Processing & Context Grounding
At , we're building the next generation of enterprise AI—agents that don't just generate responses, but understand business context, reason over enterprise knowledge, and deliver trustworthy outcomes at scale.
As a Principal Software Engineer, you'll help define and build the Intelligent Document Processing and Context Grounding platforms. Your work will enable AI agents to ingest, understand, retrieve, and reason over large volumes of enterprise documents while maintaining accuracy, security, governance, and performance.
This is a hands-on engineering leadership role for someone who has repeatedly shipped production AI systems and enjoys solving some of the hardest infrastructure challenges in enterprise software.
You'll influence technical direction across multiple teams while remaining deeply involved in architecture, implementation, mentoring, and product delivery.
Design and deliver the core services that power enterprise document understanding, retrieval, knowledge grounding, and Retrieval-Augmented Generation (RAG) across the platform.
You'll own systems responsible for:
document ingestion
parsing and extraction
chunking and embedding
indexing
retrieval
knowledge management
evaluation
answer grounding
Drive improvements in:
retrieval quality
answer quality
groundedness
attribution
latency
scalability
cost efficiency
You'll evaluate emerging techniques, challenge assumptions, and introduce better architectural approaches as AI capabilities continue to evolve.
Architect highly available, multi-tenant cloud services that process enormous volumes of enterprise content while maintaining reliability, security, and performance.
You'll work across:
distributed services
event-driven architectures
search platforms
vector databases
APIs
orchestration
cloud-native infrastructure
Principal Engineers at don't simply review designs—they actively shape them.
You'll:
influence architectural decisions across organizations
mentor senior engineers
participate in critical design reviews
establish engineering standards
help teams make thoughtful technical tradeoffs
raise the quality of engineering across the organization
Work closely with Product Managers, Applied Scientists, Designers, and Engineering Leaders to turn ambiguous AI opportunities into production capabilities customers rely on every day.
Our technology stack continues to evolve, but experience in areas such as the following is valuable:
Python
C#
Azure (preferred), AWS, or GCP
Docker
Kubernetes
Distributed systems
Event-driven architectures
Search platforms
Vector databases
LLMs
Retrieval-Augmented Generation (RAG)
Embeddings
OCR
Intelligent Document Processing