Applied AI Engineer, Artificial Intelligence (AI) Required, Work From Home at Parallel Partners in San Francisco, CA, United States
- Company: Parallel Partners
- Location: San Francisco, CA, United States
- Posted: Sep 23, 2026
- Type: Full-time
- Salary: USD 140,000 - USD 200,000 - yearly
- Experience: 4+ years
Overview
Applied AI Engineer, Artificial Intelligence (AI) Required, Work From Home We are looking for an Applied AI Engineer to design, build, and optimize AI-powered features that sit directly inside our product workflows. The Applied AI Engineer role focuses on turning model capabilities into real product…
Job description
- Applied AI Engineer, Artificial Intelligence (AI) Required, Work From Home
- We are looking for an Applied AI Engineer to design, build, and optimize AI-powered features that sit directly inside our product workflows. The Applied AI Engineer role focuses on turning model capabilities into real product behavior, where AI interacts with users, supports decision-making, and powers automation across insurance journeys. This is a fully remote role where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI-powered systems. This position is 100% Remote.
- MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT.
- - AI features are reliable, consistent, and production-ready across workflows.
- - User-facing AI interactions are intuitive and improve task completion rates.
- - Model outputs are measurable, testable, and continuously improving.
- - AI-driven automation reduces manual work in insurance processes.
- - Product teams can safely deploy AI features with controlled behavior.
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.
Requirements
- - 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.
Skills
Required
- Strong software engineering background
- Artificial Intelligence (AI)
- Prompt engineering
- Structured outputs
- Tool use patterns
- API-based system integration
- Evaluation of AI outputs
- Product sense
- User experience focus
Benefits
- Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.