Senior AI Engineer

Senior AI Engineer responsible for designing, building, and operating production-grade Generative AI solutions, integrating large language models with data and analytics environments, and leading end-to-end initiatives.

Location: Remote – USA, Canada

Salary: $150K - $165K USD per year

Responsibilities

• Lead the design and implementation of Generative AI services and Agentic workflows supporting multiple product features or teams.
• Integrate LLMs into applications using modern frameworks, APIs, or internal model endpoints, with telemetry, observability, fallbacks, and cost/latency controls.
• Work across data environments to ingest, transform, and serve data for AI use cases, designing schemas and retrieval strategies.
• Design and run experiments to compare prompts, models, and configurations; build evaluation flows for relevance, safety, robustness, and business impact.
• Collaborate with product, data science, design, and domain experts to clarify requirements, break down initiatives, and deliver roadmaps.
• Contribute to and lead code reviews, architecture discussions, documentation, and shared libraries.
• Monitor AI systems in production, participate in incident response, and improve quality, safety, reliability, and performance.
• Partner with security, legal, and compliance teams to ensure data privacy, responsible AI practices, and regulatory compliance.

Requirements

• Degree in Computer Science, Data Science, Software Engineering or related field.
• At least 8 years of professional experience with a Bachelor’s degree or 6 years with a Graduate degree.
• 1-year experience in Generative AI technologies or relevant certifications.
• Logical, practical, and innovative problem-solving skills.
• Strong customer-facing communication skills.
• Experience shipping and operating LLM-enabled features in production.
• Knowledge of Generative AI quality and safety practices.
• Experience building data-intensive systems end-to-end.
• Data engineering fundamentals: ingestion, transforms, schemas, retrieval pipelines.
• Strong Python and SQL skills; experience with APIs; TypeScript or similar is a plus.
• Hands-on experience with modern data/analytics platforms (e.g., Databricks, Snowflake).
• Ownership mindset with high standards for production readiness.
• Travel flexibility.