Staff Software Engineer (Backend, AI)

TL;DR

Staff Software Engineer (Backend, AI): Building and optimizing core backend capabilities for an AI-powered support troubleshooting platform with an accent on implementing AI tools, automating workflows, and integrating disparate tools. Focus on technical leadership, system design, designing and implementing GenAI pipelines, and ensuring platform scalability and reliability.

Location: Remote from Hyderabad, India

Company

hirify.global is a product company empowering Technical Support Engineers to deliver excellent customer service at scale using AI.

What you will do

• Partner with Engineering Manager to shape backend architecture and technical strategy.
• Design and evolve scalable, cloud-native backend systems in Python.
• Lead the design and implementation of GenAI pipelines, including data ingestion, embedding generation, semantic search, and retrieval-augmented generation (RAG).
• Ensure GenAI systems are reliable, explainable, and continuously improving.
• Set and uphold backend engineering standards and lead high-quality code reviews.
• Own backend services in production, including incident response and post-incident improvements.

Requirements

• 8–10+ years of backend software engineering experience.
• Deep expertise in Python for building production backend systems.
• Proven experience designing and scaling distributed systems.
• Strong system design skills, including service decomposition, data modeling, and high-availability architectures.
• Experience operating large-scale, production systems in the cloud.
• Hands-on experience with GenAI / LLM-based platforms.

Nice to have

• Experience with vector databases or semantic search systems.
• Experience building internal platforms or high-leverage infrastructure.

Culture & Benefits

• Opportunity to leverage AI and cutting-edge technologies.
• Work closely with the Engineering Manager to shape technical direction.
• Be a force multiplier for the team.
• Focus on continuous value delivery and reliable scaling.
• Work within a deeply technical, customer-obsessed support team.

Hiring process

• AI tools may be used to support parts of the hiring process, such as reviewing applications or assessing responses.
• Final hiring decisions are made by humans.