Staff Software Engineer (AI)

TL;DR

Staff Software Engineer (AI): Building and delivering a next-generation enterprise AI platform with an accent on Generative AI applications, foundation models, and scalable inference services. Focus on designing robust microservices, implementing RAG architectures, and collaborating across cross-functional teams to accelerate machine learning from exploration to production.

Location: Must be based in Austin, Texas (Hybrid role)

Company

hirify.global is a leading enterprise data partner that empowers organizations to transform complex data into actionable insights through open-source innovation.

What you will do

• Design and implement scalable, enterprise-quality AI inference services powered by machine learning models.
• Develop AI Model Registry and end-to-end AI applications.
• Build and enhance developer velocity and team agility within the Enterprise AI Platform team.
• Collaborate closely with platform engineers, front-end developers, UX designers, and product management.
• Drive the development of Generative AI applications using foundation models and enterprise data at scale.

Requirements

• 8+ years of experience building scalable microservices or applications using Go, Python, Node.js, C#, or Java.
• Proven experience building and deploying AI Inference and Generative AI applications.
• Strong expertise in microservices design, GRPC, SQL, and Kubernetes.
• Experience with foundation models, prompt engineering, fine-tuning, and RAG using vector databases.
• Must be eligible to work in the USA without immigration sponsorship.
• Strong written and verbal communication skills.

Nice to have

• Experience with AI/ML orchestration tools like KServe, Knative, or Kubeflow.
• Familiarity with HuggingFace and Nvidia AI frameworks.
• Full-stack experience with React, HTML, and CSS.
• Experience with Big Data technologies such as Spark or Hive.

Culture & Benefits

• Flexible WFH policy and Unplugged Days to support work-life balance.
• Comprehensive benefits package and competitive compensation.
• Access to continued career development and learning opportunities.
• Mental and physical wellness programs.
• Paid volunteer time and active Employee Resource Groups.