Staff Engineer, AI Native
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: San Diego, California; also associated with Culver City, California. The position may be performed remotely and offers flexible hybrid work arrangements; compensation varies by geographic location.
Annual base salary: $200,000–$220,000 for San Diego, CA; $220,000–$240,000 for the Los Angeles, CA office location.
Company
Engagement Platform Services builds platform services that support data-driven fan engagement across games, anime, music, film, live experiences, internal teams, and external partners.
What you will do
- Architect, design, and develop secure, scalable, high-performing RESTful API endpoints and full-stack applications.
- Collaborate with front-end engineers, product managers, designers, and engineering teams to deliver responsive, user-centric web applications.
- Define data models and database schemas and manage relational or NoSQL databases with emphasis on integrity and performance.
- Direct and govern AI coding agents across the delivery lifecycle, including context setting, output review, standards enforcement, and agent workflow design.
- Configure prompt patterns, structured output schemas, rules, and guardrails; trace and debug prompt failures, tool calls, and unexpected outputs.
- Document architecture and configuration, estimate work, participate in on-call support, and mentor junior engineers.
Requirements
- 8+ years of professional experience working with medium or large complex codebases.
- Full-stack development experience with Java, Go, or Python.
- Experience designing and implementing REST APIs.
- High proficiency in HTML, CSS, the JavaScript ecosystem, and familiarity with frameworks and tools including React, Angular, Ember, Jest, Babel, and TypeScript.
- Knowledge of UI/UX design principles.
- Demonstrated proficiency with AI-native coding tools such as Claude Code, Cursor, or GitHub Copilot as a primary delivery vehicle.
- Working knowledge of prompt engineering, context management, structured output patterns, agent development, tool use, function calling, approvals, and workflow chaining.
- Awareness of secure AI coding practices, including prompt injection, sandbox basics, and access control.
- Strong communication and interpersonal skills, collaboration skills, attention to detail, organizational skills, a strong work ethic, and the ability to work independently.
- Honesty, trustworthiness, and ethical conduct.
Nice to have
- Bachelor’s degree in Computer Science or a related field, or at least three years of proven experience in lieu of a degree.
- Ability to write clean, maintainable, and well-documented code.
- Database management, AWS, Docker, Kubernetes, React best practices, DevOps, and CI/CD experience.
- Experience with Terraform, Ansible, Jenkins, or other automated deployment tools.
- Experience with an AI-native development framework such as the BMad Method.
- Familiarity with MCP, A2A concepts, tool-connection patterns, and agent skill configuration.
- Knowledge of evaluation basics, test-case writing, LLM-as-judge concepts, and acceptance criteria for AI-generated output.
- Experience tracing and debugging prompt chains, tool calls, and agent failures.
- Understanding of hallucination reduction, prompt caching, and model fallback strategies.
- Excellent problem-solving skills and experience with Agile methodologies such as SAFe or Scrum.
Culture & Benefits
- Inclusive employee experience focused on creativity, technology, collaboration, and continuous improvement.
- Medical, prescription drug, dental, vision, behavioral health, fertility, life insurance, and disability coverage.
- Paid parental and caregiver leave, vacation, holidays, sick leave, Summer Fridays, and a winter break.
- 401(k) plan with company match, education assistance, student loan programs, and an employee stock purchase plan.
- Flexible work arrangements, employee resource groups, referral bonuses, matching gifts, and product discounts.
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