AI Engineer

Title: Software Engineer (AI Engineer)
Contract Length: 24-36 months (2-3 years)

Location: Glendale CA 91201 United States

Work Location: Hybrid (4 days onsite in Glendale)

Education: Bachelor's degree in a related field

Must have background and tools:
- Building app and deploying it to the cloud (ideally AWS), evidence of a database involved, have knowledge of data bases, UI level, web based applications, application stack in Python/Java/Node anything works there
- Need to know how to deploy app in a cloud, and each layer of the app, and the responsibilities of each. basic knowledge of people building enterprise platforms
- Need someone who can evaluate the outputs of AI and if they are good outputs, not testing on knowing language, more basic principles on cloud/web/database
- Experience with large files and databases 

Soft skills: 
- Excellent communication, articulate
- Ability to speak with stakeholders, have a product mindset when needed 
- Someone who is adaptable, able to pivot very quickly! can't be tied down to an idea

Tools:
- Can have any tool for AI, they use Claude/Cursor right now, but they are not locked into one AI tool, they're exploring
- Java, Python, or Node.js (any of these) 
- AWS preferred, open to other clouds as well

Day to Day Operations:
- Running 1 day sprints, get together every morning for 30 min, define goals, then break into small teams of 1 - 2 product/engineer, and get their work done for the day
- Need someone who can fit in this model of operating
- Run in start-up mode within an enterprise company right now
- Open to either background, large enterprise or startup 

Job Description:

Position Overview

• We are seeking a Software Engineer (Contract) 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.
• You will contribute to the design and delivery of cloud-native, event-driven services that enable dynamic decision-making, automation, and human-in-the-loop processes.
• Ideal candidates have strong experience with distributed systems and cloud platforms, and are comfortable implementing systems that integrate machine learning, large language models, or decision engines into real-world pipelines.

Key Responsibilities

AI-Augmented Workflow Development:

• 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.

Workflow Orchestration & Automation:

• Implement deterministic workflows using state machines or rules engines
• Build hybrid models that support both structured and adaptive logic

Architecture & Scalability:

• Develop modular components within distributed systems
• Focus on reliability, observability, and performance at scale
• Contribute to platform infrastructure supporting media and content workflows

Event-Driven Development:

• Build services using Kafka, EventBridge, or SNS/SQS for asynchronous communication
• Ensure systems are resilient, loosely coupled, and scalable

API & Microservices Engineering:

• 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

Cross-Functional Collaboration:

• Work closely with product, engineering, and ML teams to implement solutions
• Translate defined requirements into production-ready code
• Participate in sprint planning, standups, and delivery checkpoints

Basic Qualifications

• Experience integrating AI/ML tools, LLMs, or decision engines into applications
• Strong communication skills with an emphasis on high-quality, maintainable code
• Experience integrating AI/ML tools, large language models (LLMs), or decision engines into applications
• Bachelor's or master's degree in a Computer Science, Software Engineering, or a related field.
• 3-5+ years of experience building distributed, cloud-native backend systems
• Strong understanding of AWS services and event-driven architecture
• Proficiency in Java or Node.js
• Familiarity with Docker, Kubernetes, and modern CI/CD workflows
• Strong communication skills and a focus on delivering high-quality, maintainable code

Preferred Qualifications

• Java/Javascript, Node, Python
• 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

Required Education

• Bachelor's degree in a related field