AI Engineer (Backend)

TL;DR

AI Engineer (Backend): Building production-grade AI systems and platform from scratch with an accent on RAG pipelines, agentic patterns, eval frameworks, and integrations across engineering tools. Focus on designing automation workflows, prompt engineering, model routing, evaluation frameworks, and end-to-end ownership of high-impact AI initiatives.

Company

hirify.global is a global IT product company building next-gen mobile and web apps for live-streaming and social networking with millions of users across North America, Europe, LATAM, and MENA.

What you will do

• Design and build RAG and automation workflows inside VPC environment.
• Create integrations across engineering, communication, and knowledge-management systems (Jira, Confluence, Slack, Google Drive, Git).
• Develop AI-powered pipelines for code quality checks, ticket auto-classification, documentation updates, release notes, and meeting summaries.
• Work on prompt engineering, model selection and routing (Haiku/Sonnet/Opus), and workflow optimization.
• Build evaluation and regression frameworks for AI workflows to prevent model-upgrade regressions.
• Create lightweight dashboards for engineering leads to surface delivery patterns and bottlenecks.
• Own initiatives end-to-end: scope, design, ship, measure, iterate.

Requirements

• Experience building production-grade AI systems with modern stack including Claude/OpenAI/Bedrock, RAG pipelines, eval frameworks (Promptfoo, Ragas, LangSmith), and agentic patterns.
• Strong engineering ownership, autonomy, and ability to proactively identify high-leverage AI opportunities.
• Proficiency in end-to-end initiative delivery from discovery and architecture to production.