Principal Engineer -Intelligent Document & Context Grounding

Ovii's Interpretation of the Role

We’re seeking a Principal Software Engineer to lead the design and delivery of our Intelligent Document Processing and Context Grounding platform, powering trustworthy enterprise AI agents. You’ll build large‑scale, cloud‑native services that ingest, understand, and retrieve massive volumes of documents while ensuring accuracy, security, and performance.

Role Snapshot

• Principal Software Engineer
• AI Platform Development
• Enterprise Document Understanding
• Distributed Systems Architecture
• Mentorship & Technical Leadership
• Hybrid (Bellevue, WA)

Must-Have Requirements

• Python
• C#
• Distributed systems
• Cloud‑native architecture
• APIs
• Microservices
• Event‑driven systems
• Retrieval systems (RAG, embeddings, vector search)
• Multi‑tenant enterprise platform design
• Excellent communication
• Mentoring
• large‑scale software systems
• production AI products
• backend engineering
• distributed systems
• cloud‑native architectures
• retrieval‑augmented generation
• multi‑tenant enterprise platforms

Nice-to-Have Signals

• Azure
• AWS
• GCP
• Docker
• Kubernetes
• Search platforms
• Vector databases
• LLMs
• OCR
• Intelligent Document Processing
• Knowledge Graphs
• Evaluation frameworks
• Azure / AWS / GCP cloud platforms
• containerization and orchestration
• vector databases
• LLM‑powered applications

Work Setup

• Location: Bellevue, United States
• Work mode: HYBRID
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Design and ship core services for document ingestion, parsing, chunking, embedding, indexing, retrieval, knowledge management, evaluation, and answer grounding.
• Raise the quality bar for enterprise AI by improving retrieval accuracy, answer groundedness, attribution, latency, scalability, and cost efficiency.
• Architect highly available, multi‑tenant cloud services that process massive enterprise content while meeting reliability, security, and performance goals.
• Collaborate across distributed services, event‑driven architectures, search platforms, vector databases, APIs, and cloud‑native infrastructure.
• Influence architectural decisions across multiple teams, mentor senior engineers, and establish engineering standards and best practices.
• Partner with product managers, applied scientists, designers, and engineering leaders to turn ambiguous AI opportunities into production capabilities.

Good Fit If You Have

• Curious, self‑propelled, and comfortable solving ambiguous technical problems.
• Strong communicator who can explain complex concepts to cross‑functional partners.
• Enjoys hands‑on development while also guiding technical direction and mentoring others.