Senior Software Engineer, Platform

Pryon•Boston, MA

20h•$170,000 - $200,000•Remote

About The Position

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. We’re looking for a Senior Software Engineer who will contribute to the design, development, and implementation of highly complex software components and microservices integrated into cloud architectures. This position requires a high-functioning person who can not only self-manage (within a structure) and coordinate directly with our Research and Product teams, but who is also interested in learning new theories, concepts, principles, and methodologies that will help us achieve our goals.

Requirements

Minimum of 5 years of related experience with a Bachelor’s degree
Basic knowledge of development & deployment across multiple cloud providers such as Amazon Web Services, Microsoft Azure, Google Cloud, VMWare and OpenStack
Coding experience in Golang and Python
Working knowledge of micro-service architectures & large-scale API design and development
Understanding of service mesh frameworks (Istio), Terraform, container systems (Docker), and orchestration platforms (ECS, Kubernetes, Mesos and/or Swarm)
Working knowledge of Relational and NoSQL databases
Familiarity with machine learning, LLMs and serving frameworks like vLLM
Operating System knowledge of Linux, OS Processes, Threads, Scheduling, Synchronization, Memory Management, and Input/Output device management
Able to collaborate and thrive in a dynamic high performing environment
Demonstrated excellence in written and verbal communications
Participates in cross functional design teams to develop expertise in other modules/systems
Excellent organizational agility and interpersonal skills

Responsibilities

Work closely with peers to design & code robust scalable, loosely coupled components and micro-services that integrate with both public and private cloud infrastructure, as well as on-prem applications
Apply architecture and design principles consistently and holistically to enable target end-to-end usage scenarios.
Provide good focus on DevOps and MLOps use-cases and workflows
Build automated pipelines for ML model training, evaluation and deployment