Job Description
Job Description
Founding Backend Engineer
About the Client
Our client is a forward-thinking technology startup focused on building intelligent, autonomous systems for emerging businesses. Their mission is to empower individuals to scale operations efficiently through advanced AI-powered solutions that streamline and replace traditional workflows.
About the Role
This role is ideal for a systems-savvy backend engineer who thrives in fast-moving, high-autonomy environments. You’ll be instrumental in refining and scaling the backend infrastructure that drives advanced AI workflows. This is an opportunity to join a small, high-impact team and take ownership of mission-critical systems.
Responsibilities
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Lead the design and optimization of backend systems supporting AI-driven automation.
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Develop infrastructure tools that automate and stabilize deployments.
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Collaborate closely with AI engineers to implement performant, reliable LLM-based workflows.
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Make architectural decisions to balance speed, scalability, and maintainability.
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Operate in rapid, iterative cycles—no lengthy backlogs or ticket farming.
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Uphold core engineering principles such as speed, quality, ownership, and initiative.
Requirements
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3+ years of experience building production-grade backend systems.
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Expertise in Python using frameworks like FastAPI or Flask, with hands-on experience handling API performance challenges.
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Strong knowledge of cloud infrastructure, including deployment tools like Terraform and Kubernetes.
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Proficiency with relational and caching databases (e.g., PostgreSQL, Redis), with a track record of effective scaling and optimization.
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Familiarity with AI/ML backend systems, especially frameworks like LangGraph or Crew.
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A track record of writing clean, maintainable, modular code.
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Comfortable working at a fast pace and contributing to a high-performance team.
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Proactive, independent problem-solver who embraces ownership and initiative.
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Passionate about AI and its role in transforming the future of work.
Benefits & Why Join
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No red tape—just high-agency, empowered work.
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Real influence—shape the product, not just the codebase.
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Direct collaboration with founders and core team members.
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Fast-paced environment with high standards for quality and impact.
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Use cutting-edge developer tools (e.g., AI-assisted IDEs) as part of your workflow.