Staff Backend Engineer - Core AI Platform (Remote - India)

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.
• Remote-first work model with flexibility across time zones.
• Comprehensive health insurance to support your well-being.
• Career growth in one of the fastest-growing AI/FinTech environments.
• Opportunity to lead in an emerging field at the intersection of AI, banking, and compliance.
• Dynamic team culture combining AI research, product design, and engineering excellence.
• Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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