AI Platform Engineer, Agent Systems

About the Position

AI Platform Engineer, Agent Systems IRC296274

The company is building the agent platform for professional music production: the orchestration layer, tool interfaces, skills runtime, and context architecture that allow any AI agent to reason about and act on a music-production workflow.

You will lead the design of the orchestration loop, define how the engine’s capabilities are exposed to models, build the skills runtime that transforms a general-purpose model into a domain specialist, and architect the context and memory systems that keep agents coherent across long creative sessions.

The object model is a song. The users are producers, musicians, and creatives. The domain has real-time constraints, deep semantics, and no existing playbook.

Responsibilities

What You Will Own

• Tool Interfaces: Define how the engine’s capabilities are exposed to LLMs as structured, discoverable tools. This includes schemas, semantic descriptions, scoped tool sets, input validation, and output parsing that a model can reliably produce and the harness can reliably consume.
• Orchestration and Control Flow: Design and build the harness: the core loop and the machinery around it. This covers step sequencing, retries, timeouts, error recovery, fallback paths, and multi-agent coordination where a workflow is split across sub-agents with their own tools and context.
• Skills Runtime: Design the format, packaging, loading, and execution layer for the structured domain knowledge that turns a generic model into a music-production specialist.
• Context, Memory, and State: Build the systems that keep agents performant and coherent across long, multi-step creative workflows. This includes context compaction, short-term working memory, durable cross-session memory, session state persistence, continuity across disconnects, and sub-agent delegation in which parent and child contexts remain consistent.
• Extension Points: Design the harness so that new tools, skills, and middleware can be added without modifying the core runtime.
• Evaluations, Observability, and Failure Analysis: Build and own the platform-level evaluation surface, the observability that every engineer on the platform depends on, and the feedback loop that converts failed agent runs into targeted harness changes.
• Ongoing Simplification: Audit the harness on a regular basis and remove the components that models no longer require.

This Role Is Not

• LLM integration engineering. This role is not responsible for wiring models to the DAW or building end-user AI features. This role builds the platform those features run on.
• ML or model engineering. This team does not train models. It builds the systems that agents run on.
• Research. This team applies current research in production. Original research happens elsewhere in the company.

Requirements

• Five or more years shipping production platform or infrastructure software that other engineers have built on top of.
• Eighteen or more months of production experience building LLM agent systems, covering orchestration loops, tool use, and context management.
• Demonstrated experience designing tool interfaces for LLM consumption.
• Demonstrated experience building context, memory, or state-management systems beyond framework defaults.
• Strong proficiency in TypeScript and Python.
• Experience with the Model Context Protocol (MCP) or similar tool-connectivity standards.

Nice to Have (not required)

• Background in music production, audio engineering, or another creative-tool domain.
• Experience with real-time audio systems, professional audio software, or other latency-sensitive environments.
• Experience making a complex desktop or professional application agent-accessible.
• Experience building middleware or hook architectures that allow others to customize agent behavior without modifying core code.

We Offer

• Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies.
• Empowering Growth: We foster a culture of continuous learning and professional development.
• DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.
• Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth.
• Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants.
• Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle.

About the Company

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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