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Backend Engineer San Francisco (Hybrid)grabjobs • United States
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Backend Engineer San Francisco (Hybrid)

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    United States
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    United States
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About

This is a San Francisco–based hybrid role, combining in-office and remote work
About Engenious
Engenious is a technology company building next-generation AI products that transform how people work, learn, and create.
We partner with fast-growing startups and global companies to design and scale intelligent systems — from AI-powered applications to full-stack platforms used by millions.
Our team combines deep engineering expertise with product thinking to deliver solutions that are not just technically strong, but genuinely useful.
About the Role
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.
What You’ll Do
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
What You’ll Work On
AI-powered writing and productivity tools
Systems for AI transparency and authorship clarity
Citation and attribution workflows
Plagiarism and AI-usage detection
Integrations with educational platforms and tools
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
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 Have
Experience working with LLMs or AI frameworks (OpenAI, Antropic), LangChain, Langraph, etc.
Background in high-scale applications
Experience mentoring or leading engineers
Contract to Full-time Conversion:
Contractor Phase
Hourly rate
Contract duration - 6-12 month
Potential transition timeline
Full-Time Conversion (Future Opportunity)
Full-Time Benefits
Upon successful transition to a full-time role, the position may include: 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.)
Please note: These benefits are available only upon full-time employment and are not applicable during the contractor phase.
  • United States

Languages

  • English
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