Backend Engineer

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 setup for rapid growth to several thousands of expert users that rely on Samaya daily. You will be critical in ensuring our system scales reliably while maintaining a high standard of internal engineering, allowing us to scale.

Instant QA: Our custom build Question Answer system using 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 these system to work reliably while enabling rapid improvements with good engineering standards. Reducing latency will be a critical goal to enable a near instant experience for users and unlocking better quality within a restricted budget.

Agents: You will enable 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, reliably, AI experiences to thousands of users and be the foundation of how our engineering team and engineering cultures grows!

Responsibilities

• Develop and own key system components and services to be fast and reliable at scale
• 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 $170,000 - $260,000.

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

• Comprehensive health insurance coverage (medical, dental, vision, and short-term disability) to support your health and wellbeing
• Support your long-term financial well-being with 401K (US) and enhanced Pension contributions (UK)
• Flexibility to rest and recharge with unlimited PTO
• Travel budget to provide opportunities for learning and collaboration by attending conferences, visitings other offices, and more
• Office equipment allowance to enhance the comfort of your workspace
• Hybrid work environment to promote balance and flexibility, with typically 3 (or more) days in the office per week

Inclusive Hiring

Interview Accommodations: We are committed to ensuring an equitable selection process for everyone and welcome applicants from varied backgrounds to enrich our team. If you require accommodations or adjustments during our recruitment process, please inform us.

Equal Opportunity Employer: We do not discriminate on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Visa Sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

About Samaya

Samaya is building the first Human-AI Knowledge Network – an information ecosystem to transform expert knowledge work.

Expert knowledge work drives trillions of dollars of economic activity. Teams of human experts painstakingly synthesize insights and drive decisions from vast volumes of noisy, real-time information. For examples, in financial services, expert analysts hone in on and use key economic insights to inform high-stake investment decisions. Although the volume of information only continues to grow, past technology has only had a passive role, and today's human experts struggle with information