Senior Software Engineer, Ingestion Team
About Pryon: We’re a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we’re building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting-edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed.The Opportunity:The Ingestion team is responsible for everything that happens between content arriving from a connector and that content being ready for search and retrieval. This means document processing pipelines that handle parsing, text extraction, chunking, metadata enrichment, embedding generation, and index population — across every file format and content type our customers throw at us.We’re in the middle of a significant architectural evolution — migrating from a legacy pipeline to a modern, workflow-orchestrated architecture with cleanly separated processing stages: intake, transformation, enrichment, and indexing. The team is also actively designing the next iteration of the pipeline to push further on throughput and resilience.This is real systems engineering: the problems are about scale, reliability, and the messy realities of processing millions of documents with wildly different structures.The Ideal Candidate:Is self-driven and comfortable operating with autonomy inside a structured teamGets energized by architectural challenges, not just feature workHas the patience and discipline to improve existing systems while building new onesUnderstands that pipeline engineering is about handling the 10,000 edge cases, not just the happy pathIs motivated by the mission: building the processing backbone that makes enterprise AI accurate and reliableCommunicates well in a remote-first environment and collaborates naturally across team boundariesIn This Role You Will:Design and build pipeline stages for our modern ingestion architecture - from document intake through embedding generation and index writingContribute to the design of next-generation pipeline architecture as the system evolvesImprove system stability and scale: identify bottlenecks, reduce failure rates, and build observability into every stageWork with workflow orchestration tools to manage complex, multi-step document processing with retry logic, error handling, and state managementHandle the realities of document diversity: PDFs, HTML, Office formats, images, structured and semi-structured data - all flowing through the same pipelineCollaborate with the Connectors team (upstream) and Retrieval team (downstream) to ensure data flows cleanly across system boundariesParticipate in the ongoing migration from legacy systems, balancing new development with operational stabilityWhat You'll Need to Be Successful:5+ years of software engineering experience, with meaningful time on data processing pipelines, ETL systems, or similar infrastructureStrong proficiency in Python and/or GoExperience with workflow orchestration tools — Temporal, Airflow, Prefect, Step Functions, or similarUnderstanding of distributed systems patterns: queues, workers, backpressure, idempotency, retry strategiesHands-on experience with Kubernetes, Docker, Terraform, and HelmFamiliarity with message brokers and event streaming (Kafka, RabbitMQ, SQS, or similar)Comfort working across cloud providers (AWS, Azure, GCP)Benefits for Full Time Employees: Remote first organization 100% Company paid Health/Dental/Vision benefits for you and your dependents Life Insurance, Short-term and Long-term Disability 401k Unlimited PTOWe are interested in every qualified candidate who is authorized to work in the United States. However, we are not able to sponsor or take over sponsorship of employment visas at this time.Pryon will not consider race, religion, sex, sexual preference, or national origin in ways that violate the Nation's civil rights laws.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.