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