Senior AI Systems Engineer: RAG, Agents & Production ML
Pendo
New York (NY)
Hybrid
USD 209,000 - 235,000
Full time
14 days+
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Benefits offered by this job
Highly competitive employer-heavy coverage
401(k) match
Equity
Flexible time off
Job summary
Pendo is hiring a Sr. AI Software Engineer in New York to develop AI-native experiences. You’ll design and implement LLM-powered systems while making technical decisions and owning deployment. This role requires strong system design and MLOps experience, with a focus on model evaluation and full-stack product shipping. Compensation is competitive, ranging from $209,000 to $235,000, with robust benefits in a hybrid work environment.
Qualifications
Deep hands-on experience building and shipping LLM-powered systems.
Strong technical depth in system design.
Experience owning technical quality beyond your own features.
Strong command of model evaluation principles.
Solid understanding of modern model architectures.
Production MLOps experience.
Strong full-stack fundamentals.
Exceptional communication skills.
Demonstrated product thinking.
Responsibilities
Design and build AI systems from prototype through production.
Make principled technical decisions.
Instrument and evaluate model outputs rigorously.
Own model deployment and monitoring.
Contribute across the stack to ship AI-powered experiences.
Partner with product and design teams.
Skills
Building and shipping LLM-powered systems
System design
Technical quality ownership
Model evaluation
Understanding modern model architectures
Production MLOps experience
Full-stack fundamentals
Exceptional communication skills
Product thinking
Job description
Pendo is hiring a Sr. AI Software Engineer in New York to develop AI-native experiences. You’ll design and implement LLM-powered systems while making technical decisions and owning deployment. This role requires strong system design and MLOps experience, with a focus on model evaluation and full-stack product shipping. Compensation is competitive, ranging from $209,000 to $235,000, with robust benefits in a hybrid work environment.