Staff Software Engineer – AI Platform & Agentic Workflows

Quick Facts

• Role: Staff (Lead) Software Engineer for AI Platform & Agentic Workflows
• Contract: 12 months, potential for full-time conversion
• Schedule: 4 days onsite, 1 day remote

Description

Build the next generation of intelligent infrastructure for AI agentic platforms supporting mission-critical media and content workflows such as mastering, localization, and delivery. Translate prototypes into production-ready microservices, event-driven services, and reliable APIs with strong observability and governance. Provide hands-on technical leadership across system design, delivery, and mentoring while staying current with evolving LLM tooling and agent frameworks.

Responsibilities

• Productize and optimize AI services by converting prototypes into production-ready microservices
• Implement event-driven services and loosely coupled communication between services
• Build and maintain APIs with clear contracts and long-term maintainability
• Lead and collaborate on system design, delivery reviews, and cross-functional execution
• Mentor engineers and influence technical direction
• Design and build AI middleware (API gateways, wrappers, and secure tool/data access)
• Use Model Context Protocol (MCP) for secure access to tools, metadata, and content systems
• Deploy and manage agentic workflows (e.g., LangGraph/LangChain) for tool execution, context routing, and decision logic
• Implement tracing, audit logging, and governance checkpoints (human approval, fallback paths)
• Integrate orchestration into media workflows (mastering, localization, delivery)

Requirements

• Bachelor’s degree required (Computer Science, Software Engineering, or related field)
• 8+ years backend or systems engineering experience; at least 3 years building AI-powered or workflow-centric platforms
• Deep proficiency in Java or Kotlin with strong testing, observability, and systems-at-scale knowledge
• Strong communication skills and experience providing technical leadership across cross-functional teams
• Production experience with AWS and container orchestration using Docker and Kubernetes
• Hands-on experience with infrastructure-as-code using Terraform, CDK, or similar
• Experience building or integrating workflow engines, ideally in LLM/GenAI contexts

Benefits

• 12-month contract with potential for full-time conversion