Sr. Applied AI Engineer

Overview

Job Description

Responsibilities

• - Advance AI Assist Capabilities: Build and optimize systems that leverage AI to dynamically generate multi-product workflows.
• - Develop and Optimize RAG Systems: Design and enhance retrieval-augmented generation pipelines.
• - Collaborate with Product and Design Teams: Work closely with product managers, UX designers, and AI/ML specialists.
• - Deliver an API-First Vision: Architect and implement scalable APIs to support AI Assist.
• - Benchmark and Monitor AI Models: Develop tools and frameworks to evaluate AI performance.
• - Capture and Use User Feedback: Create systems to gather user interaction data.
• - Collaborate Across Teams: Partner with other engineering teams to align on goals and share insights.

Required Skills

• - 6+ years of professional experience in software engineering, with at least 2 years focused on AI/ML systems.
• - Deep understanding of LLMs, including advanced prompting techniques and fine-tuning.
• - Experience designing and optimizing RAG systems.
• - Expertise in handling LLM limitations, including hallucination mitigation and bias control.
• - Strong understanding of graph-based and relational database models.
• - Proven experience developing tools for benchmarking and monitoring AI performance.
• - Experience creating systems that capture and synthesize user interactions.
• - Proficiency in API design and lifecycle management.

Benefits

• - Offers Equity
• - Offers Bonus
• - Competitive and equitable compensation
• - Remote work flexibility