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Klaviyo

Senior AI Engineer - Customer Agent

Klaviyo · Boston, MA

Posted about 3 months ago

or apply directly on Klaviyo's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Klaviyo's roles stay open a median of 80 days
Reposted
No
Salary listed
No
0% of Klaviyo's roles list one
Ghost-job risk at Klaviyo
high
141 stale, 6 reposted of 141 open
Hiring momentum
203 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Klaviyo's own greenhouse board since 2026-08-03. Full hiring picture for Klaviyo.

About this role

As a Senior AI Engineer on the Customer Agent team at Klaviyo, you will design and build scalable backend systems and AI-powered experiences that enhance customer interactions. Your role involves solving complex AI challenges, developing evaluation strategies, and improving system reliability while collaborating with customers and cross-functional teams to refine products based on feedback.

Our read on this posting2.6out of 5
benefits
4/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Klaviyo as an employer.

What you need

  • 5-7 years of professional software engineering experience
  • Strong foundation in backend systems and distributed applications
  • Hands-on experience building and deploying generative AI or agentic AI applications into production
  • Proficient in Python and modern backend frameworks such as FastAPI or Django
  • Experience with asynchronous processing and distributed task or event systems such as Celery, Kafka, SQS, RabbitMQ, or Redis
  • Strong knowledge of databases, data modeling, APIs, and persistence patterns used in production systems

Nice to have

  • Experience training, fine-tuning, distilling, or otherwise adapting machine learning or language models for production use
  • Experience with reinforcement learning or feedback-driven optimization
  • Experience building evaluation infrastructure such as LLM-as-judge systems, evaluator calibration frameworks, benchmark suites, or AI quality platforms
  • Experience operating AI systems at substantial scale, including optimizing inference cost, latency, or throughput

What you get

  • Base salary range of $148,000 — $222,000 USD
  • Participation in the company’s annual cash bonus plan
  • Variable compensation (OTE) for sales and customer success roles
  • Equity
  • Sign-on payments
  • Comprehensive range of health, welfare, and wellbeing benefits based on eligibility

Worth weighing

  • No specific details on the company's technology stack beyond Python and backend frameworks
  • Vague mention of 'meaningful technical problems' without specifics on the types of projects
  • Potential ambiguity in the role's responsibilities as it involves operating in 'ambiguous environments'

Summarised from Klaviyo's posting. Read the full original.

Listed by Klaviyo on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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