Software Engineer

Job Summary

Our media and entertainment client is seeking a Software Engineer to support the development of intelligent, scalable systems within the Studio Digital Supply Chain. This role is focused on hands-on implementation of media workflows that blend deterministic orchestration with AI/ML-driven, agentic behaviors.

Core Responsibilities

• Build features that support agentic behavior using AI/ML tools and APIs
• Integrate tools such as large language models (LLMs), decision engines, and semantic search
• Implement deterministic workflows using state machines or rules engines
• Build hybrid models that support both structured and adaptive logic
• Develop modular components within distributed systems
• Focus on reliability, observability, and performance at scale
• Contribute to platform infrastructure supporting media and content workflows
• Build services using Kafka, EventBridge, or SNS/SQS for asynchronous communication
• Ensure systems are resilient, loosely coupled, and scalable
• Deliver clean, well-tested APIs and services in Java, Python, or Node.js
• Follow cloud-native design principles with containerization and CI/CD pipelines
• Maintain clear service boundaries and operational consistency
• Work closely with product, engineering, and ML teams to implement solutions
• Translate defined requirements into production-ready code

Required Skills/Experience (Must-Haves)

• 3+ years of experience building distributed, cloud-native backend systems
• Experience integrating AI/ML tools, large language models (LLMs), or decision engines into applications
• Strong understanding of AWS services and event-driven architecture
• Proficiency in Java or Node.js
• Python experience
• Familiarity with Docker, Kubernetes, and modern CI/CD workflows
• Strong communication skills with an emphasis on high-quality, maintainable code

Preferred Skills/Experience (Nice-to-Haves)

• Experience in Media or Entertainment, especially studio or post-production environments
• Background in multi-tenant platforms or shared infrastructure
• Hands-on experience with machine learning systems, pipelines, or model integration in production environments
• Familiarity with Agile and DevOps methodologies
• Experience with Kafka, EventBridge, or SNS/SQS
• Experience implementing deterministic workflows using state machines or rules engines
• Experience contributing to platform infrastructure supporting media and content workflows

About KellyMitchell

We are a company known for innovative solutions and unsurpassed customer service. We are passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.