Applied AI Engineer, Artificial Intelligence (AI) Required, Work From Home

Summary

Parallel Partners is seeking an Applied AI Engineer to build and optimize AI-powered features embedded in insurance product workflows. The role involves developing LLM interactions, evaluating and improving model performance, integrating AI capabilities into APIs, and delivering reliable automation and decision-support features in a fully remote environment.

Responsibilities

• 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 reliability of AI outputs through guardrails, fallback logic, and validation layers
• Work closely with backend engineers to integrate AI capabilities into APIs and workflows
• Design and implement AI-driven automation features (chat, recommendations, 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

Skills

• Strong software engineering background in production environments
• Artificial Intelligence (AI) 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
• Tech Stack:  A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, and Weaviate

Qualifications

Must Haves

• Strong software engineering background in production environments
• Artificial Intelligence (AI) 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
• Tech Stack:  A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, and Weaviate

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Savings Plan Options
• PTO
• Fully remote work arrangement