Senior Software Engineer (Python, LLM, Java, Typescript)

Job Description

Optomi in partnership with one of their top clients is seeking a talented Senior Software Engineer to help build the next generation of intelligent infrastructure powering a major studio’s digital supply chain. This role combines backend engineering expertise with AI integration to embed LLMs, agentic workflows, and machine learning technologies across production, localization, and delivery pipelines. You’ll join a forward-thinking engineering team developing platforms that bring world-class storytelling to life through innovative technology.

What the Right Candidate Will Enjoy!

• Playing a pivotal role in a large-scale studio supply chain rebuild—driving AI integration across 25 applications.
• Collaborating within a dynamic, cross-functional engineering team that values creativity and innovation.
• Working hands-on with leading-edge AI models and frameworks (OpenAI, Anthropic, LangChain, LangGraph).
• Building scalable, production-grade systems that bridge media workflows with intelligent automation.
• Enjoying a long-term (24-month) contract, hybrid work environment (3 days onsite in Glendale, CA), and an opportunity to contribute to transformative technology at enterprise scale.

Experience of the Right Candidate:

• 5 years of backend or systems engineering experience, with at least 1 year integrating AI technologies or workflow-centric platforms.
• Proficient in Java (Spring Boot), TypeScript (Node.js), or Python—flexibility across languages expected.
• Strong production experience with AWS, Docker, Kubernetes, and infrastructure-as-code tools (Terraform, CDK, etc.).
• Proven ability to build scalable microservices and event-driven architectures using Kafka, EventBridge, or SNS/SQS.
• Experience integrating APIs, middleware, and backend services to support intelligent automation and orchestration.
• Exposure to AI/ML SDKs or APIs (OpenAI, Anthropic, LangChain, LangGraph) is highly desirable.
• Familiarity with workflow engines, CI/CD pipelines, and cloud-native observability practices.
• Excellent communication and collaboration skills in agile, multi-team environments.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent professional experience).

Responsibilities of the Right Candidate:

• Design & Develop AI Middleware: Build robust APIs and middleware services that expose studio data and tools to AI agents through model context protocols (MCP).
• Integrate Agentic Workflows: Implement intelligent orchestration and workflow automation using frameworks like LangChain or LangGraph to enhance production and localization processes.
• Productize AI Services: Convert AI prototypes into production-ready microservices, ensuring scalability, reliability, and observability in cloud environments.
• Collaborate Across Teams: Partner closely with ML engineers, platform teams, and product managers to deliver business-ready AI capabilities.
• Standardize AI Integration: Define frameworks for how LLMs and agents interface with internal systems and data services.
• Ensure Compliance & Governance: Implement audit logs, tracing, and approval checkpoints for safe and compliant AI integration.
• Contribute to System Modernization: Play a central role in unifying and modernizing applications across the studio supply chain ecosystem.
• Mentor & Lead: Share technical insights, influence architectural direction, and contribute to a collaborative, innovation-driven engineering culture.