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Genies

Customizable lifelike avatars for digital identity

Lead Full Stack Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 7 years of professional full stack development experience, including at least 2 years in a technical leadership or mentorship role.
  • A bachelor's degree in Computer Science, a related field, or equivalent practical experience.
  • Ability to design and scale distributed, high-performance web applications.
  • Expertise with React, TypeScript or JavaScript (ES6+), Node.js, and Next.js.
  • Strong frontend sensibility, including usability, design patterns, and interface details.
  • Strong backend development experience with Go, Python, or similar languages.
  • Fluency with NoSQL and relational database solutions.
  • Experience building and consuming RESTful and GraphQL APIs; familiarity with event-driven architectures.
  • Understanding of data pipelines and ETL patterns.
  • Solid grasp of security fundamentals, including OWASP Top Ten and OAuth 2.0.
  • Experience with AWS cloud infrastructure and CI/CD pipelines.
  • Demonstrated maturity using AI tools to increase output and the ability to articulate when and how they are applied.
  • Strong communication skills and ability to lead technical and non-technical discussions.
  • Ability to balance hands-on engineering with people leadership.
  • Ability to navigate fast-paced environments with shifting priorities while maintaining code quality and design standards.

Responsibilities

  • Define and own the architectural vision and implementation strategy for full-stack systems supporting the Smart Avatar ecosystem.
  • Establish technical standards, patterns, and scalable frameworks across frontend and backend systems; make choices on separation of concerns and push back on overengineering.
  • Integrate AI tools into planning, code generation, debugging, and testing workflows; evaluate generated output for complexity, duplication, and architectural drift.
  • Champion AI adoption across the team by identifying opportunities to reduce toil, accelerate delivery, and improve quality; share workflows, prompt strategies, and tooling discoveries.
  • Contribute directly to the codebase, focusing on maintainability, reliability, and performance; build interactive user interfaces, APIs, and backend services.
  • Provide structured mentorship, code review guidance, and ongoing feedback to support career growth and engineering excellence.
  • Partner with product managers, designers, and engineering teams to translate goals into technical deliverables; clarify requirements and create implementation plans.
  • Drive initiatives that improve developer velocity, operational efficiency, and code quality; identify technical risks, scalability challenges, and architectural needs, including distributed-systems tradeoffs, CAP theorem considerations, and service design.
  • Champion best practices in code quality, security, testing, and observability, including alerting and monitoring; help shape a culture of learning, accountability, and ownership.

Desired Qualifications

  • Experience with real-time systems, WebSockets, or multiplayer architectures.
  • Exposure to AI/ML systems, LLM integration, or digital identity platforms.
  • Familiarity with 3D pipelines, image processing, or model-building workflows.
  • Passion for mentoring, technical strategy, and cultivating a high-performing team culture.

About the Company

Genies

Customizable lifelike avatars for digital identity

Genies builds highly customizable digital avatars that users can deploy across social media, virtual meetings, gaming, and other online spaces. Avatars are intelligent and can be customized in appearance, clothing, and personality, and can think and respond to mimic users. Revenue comes from a freemium model with premium features and from brand partnerships for marketing campaigns. The goal is to become the go-to platform for authentic digital representation in digital identity and virtual reality markets.

Company size
201-500
Company stage
Series C
Total funding
$256.9M
Headquarters
San Francisco, CA
Founded
2017

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