Senior Backend Engineer
GeniesGenies LA$175k – $215kPosted 26 March 2026
Job Description
Senior Backend Engineer
Genies is an avatar technology company powering the next era of interactive digital identity through Smart Avatars. With the Avatar Framework and intuitive creation tools, Genies enables developers, talent, and creators to generate and deploy game-ready Smart AI companions. The company’s technology stack supports full customization, AI-generated fashion and props, and seamless integration of user-generated content (UGC). Backed by investors including Bob Iger, Silver Lake, BOND, and NEA, Genies’ mission is to become the visual and interactive layer for the LLM-powered internet.
Genies is an avatar technology company powering the next era of interactive digital identity through AI companions. With the Avatar Framework and intuitive creation tools, Genies enables developers, talent, and creators to generate and deploy game-ready AI companions. The company’s technology stack supports full customization, AI-generated fashion and props, and seamless integration of user-generated content (UGC). Backed by investors including Bob Iger, Silver Lake, BOND, and NEA, Genies’ mission is to become the visual and interactive layer for the LLM-powered internet.
Genies is looking for a passionate and experienced Senior Backend Engineer to help contribute to the current and future growth of our technology platform powering our AI/ML systems. As a Senior Backend Engineer here at Genies you will help play a vital role in solving complex technical challenges that Genies backend services encounter while we scale and grow our product suite, and also play an integral part in the growth of our engineering organization.
Seated in either our SF Bay Area office (San Mateo) or Los Angeles based HQ, and reporting to the Vice President of Engineering, our ideal candidate has extensive experience with languages like Golang, Python, or C++. They have development experience in compute heavy areas such as AI and Graphics. They are great leaders with the ability to influence their peers and mentor other team members. At the same time they enjoy hands-on coding, designing and working with APIs for both internal and external consumption, and thrive in solving really fun and challenging technical problems.
What You'll Be Doing:
- Develop backend microservices and systems supporting mobile and web applications
- Design and develop ML infrastructure systems
- Design and develop ML applications
- Automate, test, and deploy well-designed infrastructure, code, and services at scale
- Profile and optimize for load, latency, reliability, availability, fault tolerance
- Apply best practices in all aspects of web application development including security, testability, release management, live ops
- Collaborate with product and engineering to gather requirements and refine backlog
- Collaborate with team members on architectural designs and code reviews
What You Should Have:
- Bachelor degree in Computer Science or related field
- 3+ years professional experience as a software engineer
- Experience with ML systems and heavy compute workloads
- Strong programming skills with proficiency in Python or Golang
- Solid foundation in data structures and algorithms
- Development experience with Amazon Web Services or Google Cloud Platform
- Experience in developing, designing and working with Rest APIs, distributed NoSQL and relational databases, caching systems, event-driven and multi-tier architectures
- Expertise in applying software patterns and Microservices patterns
- Knowledge of cloud security best practices and cost-effective cloud architecture
- Familiarity with CI/CD, infrastructure as code
- Self-starter, analytical, creative, highly motivated with an innovative spirit
- Excellent communication skills
How Genies will support you
Genies is a well-funded, growing start-up that cares deeply about each of our employees' growth and success. Our roles and their responsibilities are created with a breadth of scope that introd ... (truncated, view full listing at source)
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