Client is looking for someone with strong backend engineering experience, early-stage startup exposure, and hands-on experience building LLM applications or AI agents. Please share the job description with Sridhar and check his interest.
This is a full-time role, remote within the US or Canada with periodic travel to San Francisco or Toronto.
Senior Backend Engineer – AI / LLM Products
Employment: Full-time
Location: Remote within the US or Canada, with periodic travel to San Francisco or Toronto
Compensation: Base salary + meaningful founding-level equity
About the opportunity
Sentra is an early-stage, venture-backed company building an AI organizational memory platform. Its technology captures company knowledge, decisions, and context, helping teams stay aligned as they grow.
We are seeking a senior backend engineer who combines strong technical judgment with a product mindset. The ideal candidate has built customer-facing products at early-stage startups or as a founder and can independently take projects from problem definition through production.
Key responsibilities
- Own customer-facing features from user discovery and scoping through backend development, launch, and iteration.
- Build reliable LLM agents that reason over large, complex enterprise datasets.
- Drive architecture, data modeling, API design, and tooling decisions.
- Translate customer needs into technical solutions with measurable business impact.
- Own complex, high-impact projects with minimal oversight.
- Work directly with the founding team to shape product direction and engineering standards.
Required experience
- 5+ years of backend engineering experience building customer-facing products.
- Experience at high-quality early-stage startups, ideally Series B or earlier, or experience as a founder.
- Strong backend engineering skills, including Python, SQL, distributed systems, and API design.
- Hands-on experience building LLM applications or AI agents.
- Demonstrated ownership of features from initial problem discovery through production.
- Ability to connect technical decisions to customer needs and business results.
- Strong problem-solving skills and comfort working in an evolving startup environment.
Technology
Python, SQL, distributed systems, APIs, LLMs, RAG, agentic frameworks, and platform engineering.
Work authorization
Strong preference for candidates with existing US or Canadian work authorization who do not require sponsorship. Any sponsorship exception requires confirmation.
Interview process
- Problem Solving & Experience Interview: 45–60 minutes
- System Design Interview: 60 minutes
- Behavioral Interview: 45–50 minutes
- Onsite session: 2–4 hours, or work trial: 2–3 days