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Backend Engineer

On-site
SamayaMountain View, CA, US1 year agoWebsite
Fresh
Engineering

Compensation

Salary undisclosed
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Description

Role

As a Backend Engineer at Samaya, you will design and lead the development of critical system components that support and enable our AI product. This year we are set up for rapid growth to tens of thousands expert users who rely on Samaya daily. You will be critical in ensuring our system scales reliably while maintaining a high standard of internal engineering.

Instant QA: Our custom-built Question Answer system uses state-of-the-art in-house models and retrieval systems, seamlessly trained to work together to enable instant expert intelligence. You will ensure that we scale this system to work reliably while enabling rapid improvements with good engineering standards. Reducing latency will be critical to delivering a near-instant experience for users and unlocking better quality within a restricted budget.

Agents: You will develop expert-level agentic workflows to automate comprehensive knowledge work and enable AI tools that work with experts to gain new insights.

In this role, you will enable fast, reliable, AI experiences to thousands of users and be the foundation of how our engineering team and cultures grows!

Responsibilities

  • Develop and own core system components and services, ensuring they are fast, reliable, and scalable
  • Design how we build, maintain, and streamline document ingestion and provide it at scale to our QA and Agents
  • Provide engineering best practices across our entire product, backend, and ML stack
  • Take ambiguous business/product problems and build extensible systems that allow us to build fast and adapt to user needs

Experience

Required

  • Bachelors in Computer Science, Engineering or related qualification
  • 5+ years experience in tech industry
  • Proactive and eager to take ownership
  • Fast iteration based on user engagement

Preferred

  • Experience in backend or distributed systems
  • Experience in data/indexing/search systems at scale
  • Expertise in best practices of building for scale, performance, and engineering best practices
  • Excited about growing as a mentor to the engineering team

Compensation

The cash compensation range for this role is $180,000 - $275,000.

Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.

In addition to the base salary, we may consider equity as part of our total compensation package.

Benefits

Health: Access comprehensive health insurance, including medical, dental, vision, flexible spending account (FSA), and short-term disability.

WealthSupport for your long-term financial wellbeing with a 401(k) and pre-tax benefits (e.g. commuting).

RestEnjoy flexibility to rest and recharge as needed, with unlimited PTO (Paid Time Off).

Flexibility: Work flexibly with a hybrid setup - typically team members spend a minimum of three days in the office per week.

Travel: Grow and connect with a travel budget that encourages conference attendance, customer visits, and team gatherings.

Equipment: Create your ideal workspace with an office Equipment allowance to set up what works best for you.

Stack

Agentic AIDistributed SystemsMachine Learning
Posted
Feb 11, 2025
Last seen
Jun 26, 2026
First seen
Jun 26, 2026
Status
active