Senior Backend Engineer - (.NET / AI Systems) at Pavago

, , Colombia -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

.NET 8.0, C#, ASP.NET Core, Entity Framework Core, Clean Architecture, DDD, Microservices, AI Systems, LLM Orchestration, MySQL, Redis, MongoDB, Linux, CI/CD, API Integrations, Mentoring

Industry

Staffing and Recruiting

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

Responsibilities

This role involves owning the backend architecture, engineering 14+ microservices using .NET 8.0/C#, and designing/operating production-grade AI pipelines involving LLMs. The engineer will also manage data infrastructure, reliability, and lead/mentor a small development team.