Applied AI Engineer

Next Step Systems

1m ago • Remote

Mid

Remote

140,000 - 200,000 USD/yr

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Potential salary for Applied AI Engineer role

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$140,000 – $200,000/year

Quick Facts

  • Role: Applied AI Engineer

  • Work model: Fully remote (U.S.-only)

Description

You will design, build, and optimize AI-powered features that operate directly within insurance product workflows. The role focuses on converting model capabilities into reliable product behavior through LLM-based interactions, automation, and decision support. You will collaborate with engineers and product teams to ship production-ready AI systems.

Responsibilities

  • Build AI-powered product features integrated into insurance workflows

  • Design and optimize LLM-based interactions across customer and internal systems

  • Develop prompts, reasoning flows, and structured AI outputs for production use cases

  • Evaluate model performance using real-world data, feedback loops, and experiments

  • Improve reliability using guardrails, fallback logic, and validation layers

  • Integrate AI capabilities into APIs and workflows with backend engineers

  • Implement AI-driven automation (chat, recommendations, decision support)

  • Analyze user behavior and model responses to improve AI performance continuously

  • Collaborate with product, design, and engineering to ship end-to-end AI features

  • Contribute to AI system design decisions focused on usability and real-world impact

Requirements

  • U.S. residency (must be able to prove)

  • Willingness to take a 60-minute coding assessment

  • Strong software engineering background in production environments

  • Artificial intelligence experience required

  • Experience working with LLMs (OpenAI, Anthropic, or open-source models)

  • Familiarity with prompt engineering, structured outputs, and tool use patterns

  • Experience building or integrating AI features into real products

  • Strong understanding of API-based system integration

  • Ability to evaluate AI outputs critically using data and user feedback

  • Experience with experimentation, A/B testing, or evaluation frameworks

  • Strong product sense and focus on user experience

  • Comfortable working in fast-paced, globally distributed teams

Benefits

  • Medical insurance, dental, vision

  • Savings plan options

  • PTO

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