AI Infrastructure / Product Engineer, Mid-Level
New
J
JobgetherAI software
Full-time, fully remote position within the United States.Full-TimeMiddle
Salary180,000 - 260,000 USD per year
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Job Details
- Experience
- 3+ years of professional experience as a software, infrastructure, or product engineer building and deploying production systems.
- Required Skills
- PythonMachine LearningRESTful APIs
Requirements
- Have 3+ years of professional experience as a software, infrastructure, or product engineer building and deploying production systems.
- Have strong Python development skills.
- Have hands-on experience deploying and operating applications in cloud environments.
- Have experience creating evaluation pipelines, benchmarks, or assessment frameworks for machine-learning or AI systems.
- Have practical experience with APIs, databases, backend services, deployment pipelines, dashboards, and monitoring systems.
- Be able to turn experimental code, ambiguous requirements, or early-stage ideas into maintainable, production-quality products.
- Have interest or hands-on experience with LLMs, retrieval-augmented generation, AI agents, AI benchmarking, or document automation.
- Full-stack development experience is a plus; familiarity with FastAPI, Docker, React, Next.js, Postgres, or vector databases is beneficial.
Responsibilities
- Build repeatable benchmarks and evaluation pipelines to measure accuracy, hallucinations, retrieval quality, latency, and cost.
- Develop dashboards and monitoring systems that make changes in system performance visible and actionable.
- Transform experimental AI and research prototypes into maintainable retrieval, drafting, document-processing, and agent-based product capabilities.
- Design and maintain backend services, APIs, internal tools, and deployment systems.
- Deploy and operate cloud infrastructure, including databases, monitoring, and delivery pipelines.
- Collaborate with AI research teams to translate experiments and emerging capabilities into robust technical solutions aligned with product and user needs.
- Contribute across infrastructure, backend, AI systems, and product development.
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