Senior AI Engineer

Role Overview

Design and deploy production-grade AI systems connecting LLMs, vector databases, and backend services across multiple software companies. Work at the intersection of AI engineering and system integration, building scalable architectures that enable reusable, standardized AI capabilities.

What You Will Do

Design end-to-end AI integration architectures, build reusable ML and AI infrastructure components, define best practices for AI system integration, lead system design reviews, and optimize production AI systems for latency, cost, and efficiency.

Why It Might Be a Fit

Ideal for engineers who enjoy solving complex backend integration challenges and creating reusable engineering frameworks with long-term impact. Opportunity to work across multiple portfolio companies and influence AI adoption at scale.

Requirements

• 5+ years of experience in backend engineering or system integration roles
• Strong proficiency in Python and SQL
• Hands-on experience deploying production AI systems
• Deep understanding of backend architecture and system design
• Strong communication and mentoring skills

Benefits

• Remote-first work setup based in India with flexible location options
• Professional development budget and access to learning and conference opportunities
• High-impact role shaping reusable AI infrastructure and engineering standards
• Collaborative environment with experienced engineers and cross-company technical leaders
• Flexibility and autonomy in designing systems and defining best practices