Full-Time

Staff AI Engineer

JazzX AI

JazzX AI

AI platform for music production

No salary listed

Bengaluru, Karnataka, India

Hybrid

Hybrid role; on-site in Bengaluru, India required.

Master's, PhD

Category
AI & Machine Learning (1)
Required Skills
LLM
Python
RAG
LangChain
Reinforcement Learning

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Requirements
  • 10+ years of experience in applied AI, AI engineering, or AI-driven platform development
  • Strong hands-on experience building production-grade AI systems, not just prototypes or demos
  • Expert-level proficiency in Python, with a deep understanding of its ecosystem for building, scaling, and deploying production-grade AI services and orchestration layers
  • Deep experience working with AI foundation models (LLMs, reasoning models, multimodal models)
  • Solid understanding of AI agents, orchestration frameworks, and evaluation methodologies
  • Experience with frameworks such as OpenAI SDK, LangChain, AutoGen, CrewAI, or equivalent
  • Knowledge of or experience with reinforcement learning, ontologies, knowledge graphs, or hybrid AI approaches
  • Preferred - Ph.D. or MS in Computer Science, AI, or a related field
  • Strong analytical and systems-thinking skills
Responsibilities
  • Explore and evaluate foundation models, reasoning models, multimodal models, and agentic workflows for enterprise use cases
  • Design experiments to understand model capabilities, limits, failure modes, and trade-offs
  • Assess how advanced AI techniques (RAG, dynamic prompting, RL, knowledge graphs, ontologies) can be abstracted safely into a Builder Studio experience
  • Design core AI platform components for model orchestration and routing, agent execution and state management, context memory and retrieval pipelines, evaluation observability and guardrails
  • Define architectural patterns that work across platform APIs, low-code builders, and end-user applications
  • Help design declarative abstractions and primitives that allow AI workflows to be composed visually or via configuration
  • Ensure that low-code experiences do not compromise correctness, safety, or performance
  • Work closely with UX, product, and platform teams to translate complex AI systems into intuitive building blocks
  • Collaborate on building and evolving customer-facing enterprise AI applications using the JazzX platform and Builder Studio
  • Use these applications as real-world feedback loops to validate platform design decisions
  • Drive a strong dogfooding culture, ensuring the platform is battle-tested at scale
  • Design and implement evaluation pipelines to continuously measure system quality
  • Develop strategies for hallucination mitigation, grounding, human-in-the-loop workflows, and deterministic guardrails
  • Ensure AI systems behave predictably in enterprise environments with high trust requirements
  • Serve as a Staff-level technical leader, influencing architecture and long-term platform direction
  • Mentor engineers and scientists on applied AI system design and AI-native engineering practices
  • Contribute to technical standards, RFCs, and cross-team architectural decisions
Desired Qualifications
  • Ph.D. or MS in Computer Science, AI, or a related field

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.

Company Size

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Company Stage

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Total Funding

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Headquarters

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Founded

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Simplify Jobs

Simplify's Take

What believers are saying

  • JazzX landed HousingWire 2026 Insiders recognition for Kunal Patel on August 3.
  • Recent 2026 events suggest active marketing, partner-building, and pipeline development.
  • Leadership claims production deployments and audit-ready automation, implying early customer traction.

What critics are saying

  • Tracxn still labels JazzX AI unfunded in July 2026, signaling financing fragility.
  • Mortgage AI startups face crowded competition from C3 AI, Centrical, and similar vendors.
  • If lenders reject enterprise deployment, JazzX remains a demo-first product and stalls commercially.

What makes JazzX AI unique

  • SAIGroup backs JazzX AI, with Dr. Wadhwani pledging up to $1 billion.
  • JazzX targets mortgage workflows with governed end-to-end automation, not isolated point tools.
  • The platform spans intake through servicing, reasoning across agency, investor, and internal rules.

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Benefits

Health Insurance

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Flexible Work Hours

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