Cast & Crew

Senior Software Engineer, AI

BURBANK, CAPosted 30+ days ago

Job summary

  • Job post source

    This job is directly from Cast & Crew

  • Job overview

    The Senior Software Engineer, AI at Cast & Crew designs and builds intelligent AI features to simplify complex business workflows, enhancing user interaction with data and decision-making in entertainment industry software.

  • Responsibilities and impact

    The role involves developing AI-powered assistants, interactive analytics dashboards, scalable backend services, and collaborating with cross-functional teams to deliver AI-enhanced user experiences.

  • Compensation and benefits

    The position offers a salary range of $130,000 to $165,000 per year along with comprehensive benefits including medical, dental, vision, PTO, health and wellness programs, and employee discounts, subject to eligibility.

  • Experience and skills

    Candidates need 5-8 years of software engineering experience with AI/ML application development, strong skills in Python, TypeScript, Node.js, LLMs, embeddings, cloud platforms like AWS, and familiarity with Model Context Protocol; preferred qualifications include experience in AI product environments and knowledge of forecasting models.

  • Career development

    The job provides opportunities to work with cutting-edge AI technologies and collaborate across teams, fostering professional growth in AI and software engineering within the entertainment technology sector.

  • Work environment and culture

    Cast & Crew promotes an inclusive, diverse work environment with equal opportunity employment and a culture that supports creativity and collaboration in the entertainment industry.

  • Company information

    Cast & Crew is a long-standing entertainment technology and services provider with multiple brands offering screenwriting, accounting, payroll, data, and creative tools to the global entertainment industry.

  • Unique job features

    This role uniquely integrates advanced AI tools like LLMs and Model Context Protocol to create user-facing AI features in the entertainment payroll and compliance domain, offering innovative product development opportunities.

Company overview

Cast & Crew is a leading provider of software and services for the entertainment industry, specializing in payroll, accounting, and production management solutions. The company generates revenue by offering comprehensive, cloud-based platforms that streamline complex production processes for film, television, live events, and commercials. Founded in 1976, Cast & Crew has a rich history of innovation and has expanded its offerings through strategic acquisitions, making it a trusted partner for major studios and independent producers alike.

How to land this job

  • Tailor your resume to highlight expertise in AI/ML application development, specifically your experience with Python, TypeScript, and Node.js, and your ability to build intelligent, user-facing AI features like chatbots and task assistants.

  • Emphasize your familiarity with LLMs, embeddings, prompt engineering, and Model Context Protocol (MCP), as well as your experience deploying scalable AI solutions on AWS or similar cloud platforms.

  • Apply through Cast & Crew's official corporate website and LinkedIn, ensuring your application stands out by aligning your skills with their AI-driven product goals and technological stack.

  • Connect on LinkedIn with engineers and product team members within Cast & Crew's AI or software divisions, using ice breakers like commenting on their recent AI projects, asking about their experience with Model Context Protocol, or expressing enthusiasm for the company’s AI-powered entertainment tech.

  • Optimize your resume for ATS by integrating keywords such as 'AI-powered feature development,' 'LLMs,' 'Model Context Protocol,' 'AWS Lambda,' and 'AI-driven dashboards' to pass automated screenings effectively.

  • Leverage Jennie Johnson's Power Apply feature to automate tailoring your resume, identify multiple application portals, and discover relevant LinkedIn contacts to network with, allowing you to focus your energy on preparing for interviews and refining your skills.

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