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JazzX AI

AI platform for music production

Senior Software Engineer - Agentic AI Platform

AI Application Engineering +1Posted on Nov 9
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Seven to ten years of software engineering experience building backend and distributed systems.
  • Strong hands-on Java and/or Python development experience building production services and APIs.
  • Practical experience building agentic AI applications, including large language model integration, tool or function calling, and workflow orchestration.
  • Strong understanding of distributed systems, asynchronous processing, event-driven architectures, and state management.
  • Experience with databases, APIs, containers, Kubernetes, and cloud-native development.
  • Strong engineering practices across testing, continuous integration and continuous delivery, code reviews, production troubleshooting, and operational excellence.
  • Understanding of agent patterns including planning, memory, reflection, multi-agent workflows, and human-in-the-loop.
  • Understanding of AI risks including prompt injection, data privacy, access control, and model evaluation.
  • Strong ownership and problem-solving mindset, with the ability to navigate ambiguity and make pragmatic technical trade-offs.
  • Demonstrated ability to mentor engineers, drive technical discussions, and raise engineering standards.

Responsibilities

  • Design and build production-grade backend services and reusable platform capabilities for agent runtime, orchestration, state, memory, guardrails, and model access.
  • Develop agentic workflows using planning, tool use, multi-agent collaboration, parallel execution, reflection, and human-in-the-loop.
  • Build durable, long-running workflows with retries, timeouts, state management, recovery, and compensation.
  • Design asynchronous and event-driven systems using queues, messaging, and distributed processing.
  • Build secure enterprise integrations, APIs, and protocol-based interfaces for tool invocation and agent-to-agent communication.
  • Build end-to-end observability, tracing, and auditability across agent decisions, model calls, tools, and workflows.
  • Design for security, reliability, scalability, and performance, including identity, authorization, data protection, and AI-specific risks.
  • Partner with product, security, and engineering teams to translate complex business workflows into reliable AI solutions.
  • Participate in architecture and code reviews, mentor engineers, and influence technical direction and engineering standards.

Desired Qualifications

  • Experience with LangGraph, OpenAI SDK, or similar agent frameworks or SDKs.
  • Familiarity with MCP, A2A, AG-UI, or A2UI.
  • Experience with Temporal, retrieval-augmented generation, vector databases, agent memory, or enterprise knowledge systems.
  • Experience with model gateways, routing, guardrails, cost controls, or AI evaluation.
  • Experience with Azure/AKS, PostgreSQL, Kafka, Redis, or OpenTelemetry.
  • Experience building secure, multi-tenant platforms or software for regulated industries such as lending or financial services.
  • Experience operating AI or agentic workloads in production at scale.

About the Company

JazzX AI

AI platform for music production

JazzX AI is an AI-powered music-creation platform that helps musicians create and produce music. It generates musical ideas, arranges compositions, and refines audio production. Users describe their desired concept in plain English, and the AI produces corresponding musical elements, acting as a collaborative partner that augments a creator’s skills rather than replacing them. The system is designed to fit into existing music production workflows, handling time-consuming or technically demanding tasks to speed up the creative process. The service is likely offered on a subscription or access basis for individual artists, producers, and studios.

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