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Staff Backend Engineer - Core AI Platform (Remote - India) at Jobgether. This position is posted by Jobgether on behalf of . interface.ai. . We are currently looking for a . Staff Backend Engineer – Core AI Platform. in . India. .. Join a mission-critical engineering team driving innovation at the frontier of AI infrastructure. In this role, you will design and lead the development of a modular, scalable backend platform that orchestrates intelligent systems using LLMs, memory, reasoning, and tool use. Your work will power real-time, high-trust, multi-agent solutions for financial institutions. This is a rare opportunity to help shape the architecture of cutting-edge AI systems at scale—balancing performance, compliance, and usability in production environments.. . Accountabilities:. . Design and lead the architecture of a distributed, multi-agent AI framework integrating LLMs, decision layers, memory, and tooling.. . Build real-time, low-latency inference systems capable of meeting the SLAs of transactional and regulated environments.. . Develop modular backend components for agent planning, fallback handling, reward routing, and continuous reasoning.. . Create developer-facing APIs and tools enabling safe, composable extensions of AI capabilities.. . Integrate vector databases, custom retrieval mechanisms, evaluators, and auto-tuning pipelines into live systems.. . Work closely with AI researchers to productionize experimental models, RL strategies, and alignment techniques.. . Establish architectural best practices for scalable, fault-tolerant, and policy-aligned AI-driven systems.. . Lead technical direction and influence cross-functional engineering strategy.. . . 8+ years in backend/platform engineering, including 2+ years building or deploying ML/AI systems in production.. . Strong experience with Node.js and asynchronous, event-driven architecture.. . Expertise in large language model (LLM) systems, reinforcement learning (RL), and agent architecture design.. . Proven record building distributed systems and high-throughput infrastructure with real-time inference capabilities.. . Prior hands-on ML experience—model training, pipeline design, or production debugging.. . Proficient in modular software design with observability, testing, and resiliency in mind.. . 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.. . Company Location: India.