The position is for a Staff Backend Engineer – Core AI Platform at interface.ai, located in India.
The role involves designing and leading the development of a modular, scalable backend platform that orchestrates intelligent systems using LLMs, memory, reasoning, and tool use.
The engineer will create real-time, high-trust, multi-agent solutions for financial institutions.
Responsibilities include designing a distributed, multi-agent AI framework, building low-latency inference systems, developing modular backend components, and creating developer-facing APIs and tools.
The role requires integrating vector databases and working closely with AI researchers to productionize experimental models and strategies.
The engineer will establish architectural best practices and lead technical direction while influencing cross-functional engineering strategy.
Requirements:
Candidates must have 8+ years in backend/platform engineering, with at least 2 years of experience building or deploying ML/AI systems in production.
Strong experience with Node.js and asynchronous, event-driven architecture is required.
Expertise in large language model (LLM) systems, reinforcement learning (RL), and agent architecture design is essential.
A proven record of building distributed systems and high-throughput infrastructure with real-time inference capabilities is necessary.
Prior hands-on ML experience in model training, pipeline design, or production debugging is required.
Proficiency in modular software design with a focus on observability, testing, and resiliency is needed.
Bonus points for experience with vector databases, prompt engineering, semantic search, or orchestration engines.
Open-source contributions in the LLM/AI infrastructure space are a plus.
Benefits:
The position offers a remote-first work model with flexibility across time zones.
Comprehensive health insurance is provided to support employee well-being.
There are opportunities for career growth in a rapidly growing AI/FinTech environment.
The role provides the chance to lead in an emerging field at the intersection of AI, banking, and compliance.
Employees will be part of a dynamic team culture that combines AI research, product design, and engineering excellence.