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

- **Company:** AI Powered LLC
- **Location:** San Francisco, CA, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Computer Programming, Decision Support Systems, Python (Programming Language), Node.Js, NoSQL, Performance Tuning, OpenAI, Software Engineering, SQL Databases, Systems Integration, Pinecone, Open-source Models, Large Language Models, Prompt Engineering, Backend, Weaviate, Claude, Api Design, Restful APIs
- **Published:** October 21, 2026
- **Apply:** https://www.dice.com/job-detail/4ae5c05e-5e7b-4c12-8d07-e934e7668b9d

## About the Role

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 include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

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## Description

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.

Applied AI Engineer Outcomes

 - 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., Looking to hire an Applied AI Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help.