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Senior Backend Engineer (.NET / AI Systems)
Senior Backend Engineer (.NET / AI Systems)Pavago • KE
Senior Backend Engineer (.NET / AI Systems)

Senior Backend Engineer (.NET / AI Systems)

Pavago • KE
16 hours ago
Job type
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Job description

Job Title : Senior Backend Engineer (.NET / AI Systems)r

Position Type : Full-Time, Remote

Working Hours : U.S. Business Hours

About the Role

We are hiring a Senior Backend Engineer (.NET / AI Systems) to own the entire technical function of an early-stage SaaS platform. This is a hands-on leadership role where you will write production code daily while making architecture, infrastructure, and AI system decisions for a platform operating at scale.

You will be accountable for backend architecture, system reliability, AI pipelines, and guiding a small development team in a fast-moving startup environment.

Responsibilities

Backend Architecture & Engineering

  • Design, build, and maintain a .NET 8.0 / C# backend using Clean Architecture and DDD principles
  • Own the architecture and codebase across 14+ independently deployed microservices
  • Deliver new features, refactor existing systems, and resolve performance bottlenecks

AI Systems & LLM Orchestration

  • Design and operate production-grade AI pipelines across multiple LLM providers
  • Optimize prompts and workflows for batch processing, personalization, and segmentation at scale
  • Manage rate limits, failover strategies, and cost optimization across AI providers
  • Databases & Data Infrastructure

  • Manage MySQL, Redis, and MongoDB in production environments
  • Oversee bulk writes, caching strategies, event streams, and analytics pipelines
  • Ensure data consistency and performance across distributed services
  • Infrastructure, Reliability & Monitoring

  • Own Linux-based infrastructure, CI / CD pipelines, and service deployments
  • Implement centralized logging, monitoring, alerting, and uptime tracking
  • Proactively identify and mitigate reliability and scalability risks
  • API Integrations & System Resilience

  • Manage 25+ third-party API integrations used in production
  • Design retry, fallback, and graceful degradation strategies
  • Ensure system stability when external providers fail or degrade
  • Team Leadership & Engineering Standards

  • Lead and mentor a small engineering team through code reviews and architectural guidance
  • Set and enforce engineering standards, workflows, and best practices
  • Collaborate closely with the founder on product direction and technical strategy
  • What Makes You a Perfect Fit

  • You are a senior, hands-on engineer who enjoys owning systems end-to-end
  • You are comfortable being the most experienced technical person on the team
  • You balance fast execution with long-term architectural thinking
  • You take ownership of reliability, performance, and technical outcomes
  • You thrive in early-stage startup environments
  • Required Experience & Skills

  • Deep expertise in .NET 8.0, C#, ASP.NET Core, and Entity Framework Core
  • Experience with distributed systems and independently deployed services
  • Strong production experience with MySQL, Redis, and MongoDB
  • Hands-on DevOps experience with Linux servers and CI / CD pipelines
  • Experience managing large numbers of third-party API integrations
  • Proven experience building and operating AI / LLM systems at scale
  • Familiarity with AI-assisted development tools and workflows
  • Strong understanding of monitoring, observability, and incident prevention
  • Experience leading small engineering teams
  • Strong English communication skills
  • What Does a Typical Day Look Like ?

  • Write and review production backend code
  • Make architectural decisions across services, databases, and AI pipelines
  • Monitor system health and resolve reliability issues
  • Guide developers through code reviews and technical feedback
  • Collaborate with the founder on product and system evolution
  • In short : You own the technical foundation of the platform and ensure it scales reliably while enabling rapid product development.

    Key Metrics for Success (KPIs)

  • System uptime and service reliability
  • Backend and AI system performance improvements
  • AI cost efficiency and pipeline stability
  • Code quality and deployment reliability
  • Team execution and delivery quality
  • Interview Process

  • Initial Screening Call
  • Technical Interview with Pavago Recruiter
  • Client Interview
  • Offer & Onboarding
  • #LI-AG1

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    Senior Backend Engineer NET AI Systems • KE

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