Applied AI Engineer

Role Overview: As an Applied AI Engineer at Key, you will be responsible for taking AI and ML models from concept to production. Your main focus will be on building scalable and reliable systems using Python, cloud services, and modern MLOps practices. You will have the opportunity to own the end-to-end delivery of AI solutions, contributing to transforming professional networking by fostering authentic relationships and meaningful connections. Key Responsibilities: - End-to-end ownership of production ML systems from prototype to live services - Implement, fine-tune, and optimize models, including LLMs for search and recommendation, for performance, latency, and cost - Design, build, and maintain data and inference pipelines using MLOps principles for CI/CD, monitoring, and automated retraining - Collaborate with backend and frontend teams to integrate AI into product experiences - Design and maintain well-documented, scalable APIs and services to expose AI capabilities - Proactively improve AI infrastructure, model performance, and incorporate new techniques - Uphold quality via code reviews, testing, and documentation Qualifications: - Bachelors or Masters in Computer Science, Engineering, or a related field - 4+ years of professional software engineering experience, including 2+ years deploying ML systems to production - Expertise in Python and ML libraries such as PyTorch, TensorFlow, and scikit-learn - Strong experience with AWS, GCP, or Azure and their ML services (e.g., SageMaker or Vertex AI) - Solid understanding of API design and system architecture - Experience with LLMs, RAG systems, and vector databases is a strong plus - Excellent written and verbal communication skills in English Additional Company Details: Key is reimagining how professionals connect, create, and grow together. The company is focused on building a platform that transforms professional networking by emphasizing authentic relationships and meaningful connections, believing in the power of real human connection driven by people but amplified by technology. Key values user obsession, excellence in execution, continuous learning, collaboration, and ownership. The company is committed to building a diverse and inclusive team, encouraging applications from individuals of all backgrounds, identities, and experiences. (Note: The Tech Stack and What We Offer sections have been omitted as they are not directly related to the job description.),