Sr. AI Backend & Data Engineer (AI)

TL;DR

Sr. AI Backend & Data Engineer (AI): Design, build, and ship AI-integrated data systems and backend services that embed AI/ML capabilities into production decision-making workflows. Focus on scalable data/ML pipelines, production-grade AI runtime integration, and high-velocity delivery with CI/CD, observability, and cost-aware architectural decisions.

Company

hirify.global builds an AI-native predictive analytics platform that embeds ML/AI-driven insights into customer-facing GTM workflows.

What you will do

• Design, build, and own scalable data and ML pipelines, backend services, and AI-powered capabilities used in production decision-making.
• Ship daily by decomposing work into safely mergeable increments using feature flags, canary releases, and rollback architecture.
• Use AI-assisted development tooling (e.g., code generation and architecture prototyping) as a core workflow multiplier.
• Own end-to-end delivery: deployment, operational monitoring, CI/CD health, observability, cost efficiency, and business impact measurement.
• Make pragmatic architectural decisions balancing reliability, cost, and delivery speed; document decisions in lightweight ADRs.
• Collaborate cross-functionally with product, design, infrastructure, and GTM to translate customer and business needs into technical solutions.

Requirements

• 5+ years building and shipping production-grade backend and data systems in distributed cloud environments (AWS and/or GCP).
• Hands-on experience integrating AI/ML (including LLM or agent-based components) into production runtime workflows (not prototypes/research).
• Active use of AI-assisted development tooling (e.g., Copilot, Cursor or equivalent) and ability to explain how it increases engineering throughput.
• Strong backend and data engineering skills in Java (Spring Boot), Python, and/or Go; experience with relational and non-relational databases, data modeling, and query optimization.
• Demonstrated expertise in automated testing, CI/CD, and observability.
• Ability to operate in a high-ownership environment and deliver complex work as small, incremental, safely mergeable releases.

Culture & Benefits

• Builder-first, high-velocity environment with daily shipping and continuous iteration.
• AI-native approach where AI components are treated as first-class runtime dependencies.
• Emphasis on pragmatic decision-making and lightweight documentation (ADRs).
• Compensation includes salary ranges plus additional benefits and reward opportunities.