📋 Description

• Own the architecture, development, and operation of secure, scalable backend services and RESTful
• Design robust data models, schemas, access patterns, and integrity strategies across PostgreSQL
• Build and evolve production AI/LLM services and agents with strong guarantees around performance
• Develop agent infrastructure including tool-calling frameworks, MCP server layers
• Establish and maintain AI evaluation frameworks, including scorers, labelled datasets, trajectory
• Set engineering standards for scale and reliability, including caching, rate limiting, circuit

🎯 Requirements

• 7–10 years of hands-on backend engineering experience, including experience leading engineers or
• Expert-level Python and substantial production experience with FastAPI, Pydantic, and modern
• Proven experience building and operating large-scale production systems handling millions of API
• Demonstrated experience shipping AI/LLM services, APIs, and agents into production, including
• Strong hands-on experience with AI harness engineering, including tool-calling frameworks, MCP
• Solid data-modelling expertise across both SQL and NoSQL databases, together with experience

🎁 Benefits

• Fully remote opportunity based in India.
• Competitive base compensation.
• Meaningful equity participation and the opportunity to share in the organization’s growth.
• Significant architectural autonomy and ownership of core backend, data, and AI systems.
• Hands-on technical leadership, allowing you to continue building while influencing engineering
• Opportunity to lead and grow two engineering pods through their team leads.