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Applied AI Engineer, Artificial Intelligence, Work From Home
Parallel Partners. Build AI-powered product features integrated into real insurance workflows .
Posted 9/22/2026full-timeRemote • Illinois • United StatesMid-LevelSenior💰 $140,000 - $200,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and integrating AI-powered features into production environments, with a strong focus on user experience and model performance evaluation. Proficient in prompt engineering, API integration, and automation within insurance workflows.
Highest-signal resume keywords
Artificial Intelligence ExperienceExperience with LLMsAPI-Based System IntegrationA/B Testing ExperienceStrong Software Engineering Background
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Prompt EngineeringModel EvaluationAI Output ReliabilityData AnalysisExperimentationNode.jsPythonSQLNoSQLREST APIs
Soft Skills
Strong Product SenseUser Experience FocusCollaboration in Distributed Teams
Tools & Technologies
OpenAIAnthropicPineconeVector DatabasesWeaviate
Industry Keywords
AI-Driven AutomationInsurance WorkflowsUser Behavior AnalysisProduction-Ready Features
Tech Stack
Tools & technologiesJavaScriptNode.jsNoSQLPythonSQL
About the role
Key responsibilities & impact- Build AI-powered product features integrated into real 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 AI output reliability through guardrails, fallback logic, and validation layers
- Work with backend engineers to integrate AI capabilities into APIs and workflows
- Design and implement AI-driven automation features such as chat, recommendations, and decision support
- Analyze user behavior and model responses to continuously improve AI performance
- Collaborate with product, design, and engineering teams to ship end-to-end AI features
- Contribute to AI system design decisions focused on usability and real-world impact
- Deliver reliable, consistent, production-ready AI features across workflows
- Improve user-facing AI interactions and task completion rates
- Ensure model outputs are measurable, testable, and continuously improving
- Reduce manual work in insurance processes through AI-driven automation
- Enable product teams to safely deploy AI features with controlled behavior
Requirements
What you’ll need- Strong software engineering background in production environments
- Artificial Intelligence (AI) experience required
- Experience working with LLMs, including 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
- Must be willing to take a 60 minute coding assessment
- Experience with A/B Testing, LLM APIs, Node.js, NoSQL, Pinecone, Python, REST APIs, SQL, vector databases, and Weaviate
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- Savings Plan Options
- PTO
- Work from home / fully remote work arrangement