Backend Engineer — San Francisco (Remote)
About The Position
We’re looking for a Backend Engineer to join our team and work on AI-driven products. In this role, you will be working as part of an Engenious team embedded with one of our clients, a leading technology company building products used at global scale. You’ll collaborate closely with both Engenious and client-side teams to deliver high-impact solutions. You’ll help build systems that support students throughout their writing journey — from drafting and citations to AI transparency and plagiarism detection. This role combines backend development with practical application of modern AI technologies, and you’ll be expected to actively work with AI-powered features as part of your day-to-day development.
Requirements
- 5+ years of experience in backend development
- Strong experience with Java and Spring Boot is a must
- Knowledge of system scaling, REST APIs, GraphQL, microservices, and message brokers (Kafka, RabbitMQ).
- Experience with Python
- Strong fundamentals in algorithms and system design
- Experience building or integrating AI-powered features (LLMs, APIs, or similar)
- Experience building and scaling production systems
- Experience debugging complex systems
- Strong product mindset and attention to user experience
- Hands-on experience designing and operating WebSocket-based real-time systems at scale
- Experience working within cross-team collaboration responsible for high-load production systems, including services serving 100,000+ users or operating at significant request-per-second scale.
- Must be legally authorized to work in the United States at the time of hire; we are unable to provide visa sponsorship for this role
Nice To Haves
- Experience working with LLMs or AI frameworks (OpenAI, Antropic), LangChain, Langraph, etc.
- Background in high-scale applications
- Experience mentoring or leading engineers
Responsibilities
- Build and ship end-to-end features across the high-load backend services
- Design scalable APIs and services
- Build and integrate AI-powered features into product workflows
- Work with LLM-based systems and AI-driven services
- Improve performance, reliability, and system architecture
- Collaborate with product, design, and AI teams (both Engenious and client-side)
- Contribute to technical decisions and engineering standards
- Mentor engineers and support team growth
Benefits
- Comprehensive health benefits (medical, dental, vision, mental health)
- Paid time off and holidays
- Parental leave
- 401(k) / retirement options (if applicable)
- Professional development support
- Additional stipends (wellness, home office, etc.)
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What This Job Offers
Career Level
Senior
Education Level
No Education Listed
