Software Engineer II (AI)

TL;DR

Software Engineer II (AI): Building and evolving AI capabilities including LLM-based systems and RAG pipelines with an accent on structured information extraction and content classification. Focus on optimizing AI systems for performance, cost, and reliability while contributing to a shared AI platform.

Location: Must be based in the United States. Remote, or hybrid for candidates in the Austin Metro area (3 days/week in office).

Salary: $124,000–$193,000 USD

Company

hirify.global is part of a commerce ecosystem alongside BigCommerce and Makeswift, providing AI-driven tools to empower business growth and data potential.

What you will do

• Build, test, and integrate LLM-based systems, RAG pipelines, agents, and orchestration layers.
• Implement systems for structured information extraction, content classification, and alignment with organizational ontologies.
• Contribute to a shared AI platform with a focus on reuse, maintainability, and developer experience.
• Translate well-defined requirements into production-quality AI components.
• Optimize AI systems for performance, cost, and reliability.
• Collaborate with Product Managers and Engineering partners on technical planning.

Requirements

• 4+ years of professional software engineering experience.
• Proficiency in Go or another modern backend language (Python, PHP, Java).
• 1+ year of experience building AI/ML systems in production or production-adjacent environments.
• Familiarity with GenAI ecosystems such as OpenAI, Anthropic, Hugging Face, Braintrust, PortKey, or LangChain.
• Exposure to NLP tasks including text classification, NER, extraction, and summarization.
• Basic working knowledge of cloud platforms (AWS, GCP, or Azure) and SQL.

Nice to have

• Familiarity with vector databases, inference engines, or data persistence layers.
• Experience with structured output handling (JSON mode, schema validation, output parsing).
• Proficiency with frontend frameworks such as React.

Culture & Benefits

• Commitment to an inclusive and accessible hiring experience.
• Flexible work arrangements: fully remote within the US or hybrid in Austin.
• Eligible for variable compensation (bonus/commission), equity, and benefits based on local policies.
• Equitable and transparent pay practices aligned with market data.