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Back End Developer

Stealth Startup

RemoteFull timeMid levelPosted today
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About the role

We are seeking a talented Senior AI & Backend Engineer to design and scale the server-side foundation of our next-generation platform. In this role, you will bridge the gap between high-scale distributed backend systems and advanced LLM architectures. You will take end-to-end ownership—from writing high-concurrency microservices and orchestrating complex agentic workflows to managing production deployments on Kubernetes.

Core Responsibilities

  • High-Performance Services: Architect, build, and optimize scalable backend microservices utilizing Python, FastAPI, and async messaging patterns .
  • Agentic & AI Infrastructure: Design durable, multi-step LLM workflows, autonomous agent frameworks, and high-retrieval RAG pipelines.
  • Resilient Workflows: Implement durable execution engines (such as Temporal ) to ensure fault-tolerant, long-running processes across distributed services.
  • Data Layer Management: Model, maintain, and optimize PostgreSQL databases, creating clean schema migrations (using ORMs like Drizzle) to support evolving product features.
  • Cloud & Platform Operations: Own the deployment lifecycle, containerizing services, and scaling workloads on managed Kubernetes (EKS) environments.
  • Technical Leadership: Lead architectural discussions, conduct thorough code reviews, and drive system reliability and incident resolution.

What You’ll Bring

  • 4+ years of professional experience engineering complex software applications in production.
  • Modern Python Proficiency: Deep hands-on experience with asynchronous Python development, FastAPI, and high-concurrency paradigms.
  • Applied AI Engineering: Proven track record of architecting real-world LLM applications, RAG systems, and agent frameworks (focusing on system architecture rather than basic prompt engineering).
  • Relational Database Expertise: Strong proficiency with PostgreSQL, query optimization, and modern ORM abstractions.
  • Infrastructure & DevOps Foundations: Practical experience with Docker, Kubernetes (EKS), and CI/CD pipelines.
  • Mindset: An exceptional problem-solver who thrives in greenfield ("zero legacy") environments, value-driven execution, and team-first engineering culture.

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