Lead Software Engineer (AI)

TL;DR

Lead Software Engineer (AI): Designing and building highly scalable and low latency distributed systems to process large-scale real-time data for an AI-native platform with an accent on architectural design, database optimization, and system performance. Focus on scaling the technology stack, driving engineering best practices, and ensuring operational excellence for critical services.

Location: Hybrid (Noida, India)

Company

hirify.global is a Series C startup leveraging advanced AI and Large Language Models to transform customer engagement in contact centers into strategic assets.

What you will do

• Develop and execute the technical roadmap to scale hirify.global’s technology stack.
• Design and build highly scalable and low latency distributed systems to process large scale real-time data.
• Drive best-in-class engineering practices throughout the software development lifecycle.
• Ensure operational excellence for critical services requiring high uptime.
• Collaborate with a variety of stakeholders to create technical plans and lead their execution.
• Stay updated with the latest technologies and thoughtfully apply them to hirify.global’s tech stacks.

Requirements

• B.E/B.Tech/M.E/M.Tech/PhD from tier 1 Engineering institutes with relevant work experience with a top technology company.
• 5+ years of Backend and Infrastructure Experience with a strong track record in development, architecture, and design.
• Hands-on experience with large scale databases, high scale messaging systems, and real-time job queues.
• Experience navigating and understanding large scale systems and complex code-bases, and architectural patterns.
• Experience mentoring and providing technical leadership to other engineers in the team.

Nice to have

• Experience with Google Cloud, Django, Postgres, Celery, Redis.
• Some experience with AI Infrastructure and Operations.

Culture & Benefits

• Work on an AI-native platform leveraging Large Language Models.
• Opportunity to be a technical thought leader and solve complex problems.
• Coach and mentor junior engineers.
• Collaborate with product managers and other stakeholders.
• Market-leading compensation based on skills and aptitude.