Generative AI Engineer is a hands-on technical role focused on building, deploying, and optimizing production-grade generative AI solutions. This role works closely with AI Architects, data scientists, and platform teams to translate business problems into scalable AI-driven applications using large language models and modern GenAI frameworks. The Senior AI Engineer is responsible for designing and implementing components such as prompt workflows, retrieval-augmented generation pipelines, vector search integrations, and lightweight agent-based systems, while ensuring performance, reliability, and cost efficiency in production environments. The role emphasizes strong software engineering practices, cloud-native development, and LLMOps fundamentals, including testing, monitoring, and CI/CD integration. Candidates are expected to contribute ideas, improve existing architectures, and mentor junior engineers, while operating within established architectural guardrails. This position is ideal for a practitioner who enjoys deep technical problem-solving, rapid experimentation, and delivering measurable business impact through practical, scalable generative AI solutions.
Base Compensation Range: $90-125k
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
