Senior Backend AI Engineer

Role Overview

We are looking for a highly experienced Senior Backend AI Engineer – Agentic AI to design, develop, and scale distributed backend systems and production-grade Agentic AI solutions.

The ideal candidate will have strong expertise in Node.js, TypeScript, and/or Golang, distributed systems, cloud infrastructure, LLMs, and multi-agent architectures. The role involves driving the technical architecture of autonomous AI systems, building reusable AI capabilities, and delivering scalable, reliable, and secure AI-powered applications.

Core Technical Skills

• Languages: Node.js, JavaScript, TypeScript, Golang.
• Backend: REST APIs, Microservices, Distributed Systems.
• Agentic AI & LLM: LangGraph, LangChain, Multi-Agent Systems, Agent Orchestration, Planning, Tool Calling, Memory Management.
• RAG & AI Infrastructure: Retrieval-Augmented Generation, LLM Integration, Model Gateways, Inference, Evaluation, and Observability.
• Cloud & DevOps: AWS/GCP, Docker, Kubernetes, CI/CD.
• Messaging & Workflows: Kafka, Event-driven Architecture, Airflow, Async Processing.
• Databases: PostgreSQL, MongoDB, Redis.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's preferred.
• 8+ years of backend engineering experience building scalable, distributed systems.
• Strong proficiency in Node.js, TypeScript, and/or Golang.
• Hands-on experience building and deploying production-grade LLM applications and Agentic AI systems.
• Strong understanding of multi-agent orchestration, planning, reasoning, tool integration, memory, and RAG.
• Experience with cloud platforms, Kubernetes, microservices, event-driven architectures, and distributed infrastructure.
• Proven ability to own complex technical initiatives and drive architecture decisions across teams.
• Strong problem-solving, communication, and technical leadership skills.

Roles & Responsibilities

• Design, develop, and maintain scalable backend services, APIs, and microservices.
• Architect and build production-grade Agentic AI and multi-agent systems.
• Develop agent orchestration, planning, tool integration, memory, and RAG capabilities.
• Build and optimize shared LLM infrastructure, model gateways, evaluation, and observability frameworks.
• Drive technical architecture and engineering best practices across AI initiatives.
• Ensure system scalability, reliability, security, performance, and cost efficiency.
• Collaborate with DevOps, frontend, product, and ML teams to deliver end-to-end AI solutions.
• Mentor engineers and influence technical direction across teams.

Preferred Qualifications

• Experience building Agentic AI solutions in fintech or regulated industries.
• Experience as a founding engineer or early technical leader in AI-driven products.
• Contributions to open-source AI or Agentic AI frameworks.
• Knowledge of model fine-tuning, optimization, and inference pipelines.
• Experience implementing AI safety, guardrails, and governance mechanisms.