Senior AI Engineer, Klaviyo
ARIA Team
$112-168k
3+ days a week in office
The autonomous B2C CRM
Be an early applicant
The autonomous B2C CRM
1001+ employees
Be an early applicant
$112-168k
3+ days a week in office
1001+ employees
Company mission
Klaviyo is the only autonomous CRM built for B2C brands. Powered by its built-in data platform and AI insights, Klaviyo combines marketing automation, analytics, and customer service into one unified solution, making it easy for businesses to know their customers and grow faster.
Role
Who you are
- 3+ years of software engineering experience, with at least 2 years focused on building AI, ML, or LLM-powered systems in production
- Deep expertise with large language models such as OpenAI, Anthropic, Mistral, or Llama, and experience integrating them into production applications via API
- Strong full-stack engineering skills across Python (FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend frameworks
- Proven experience designing and building CI/CD pipelines for software or ML systems using tools such as GitHub Actions, Jenkins, or CircleCI
- Experience with RAG systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models
- Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code tools such as Terraform or Pulumi
- Experience with prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases
What the job involves
- At Klaviyo, the ARIA (Applications, Resources, Intelligence, and Automations) team is building the AI systems that transform how our employees work. We are looking for a Senior AI Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools from the ground up
- This role sits at the intersection of applied AI research and full-stack software engineering. You will own everything from LLM integration architecture and RAG system design to CI/CD pipeline management and production observability. If you want to build AI that real people use at scale every day, this is the role for you
- You will report into the Director of AI and App Engineering
- Design and build LLM-powered applications: Architect and develop production-grade systems leveraging large language models (GPT-4, Claude, Mistral, Llama) for internal automation, knowledge retrieval, and intelligent workflow assistance
- Build and maintain AI integration pipelines: Design robust, scalable API integrations between AI models and internal systems such as HRIS, ticketing, CRM, and knowledge bases, ensuring reliability, low latency, and high availability
- Develop full-stack AI features end-to-end: Own the complete development of AI features across the stack from backend model orchestration and API layers to frontend interfaces that make AI accessible to non-technical employees
- Architect and manage CI/CD pipelines for AI systems: Build and maintain automated deployment pipelines for AI models and services, including model evaluation frameworks, A/B testing infrastructure, and safe rollout strategies
- Implement RAG and retrieval systems: Design and build retrieval-augmented generation systems grounded in Klaviyo internal knowledge, ensuring accuracy, relevance, and up-to-date responses at scale
- Evaluate and fine-tune AI models: Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques
- Establish AI engineering best practices: Define coding standards, testing frameworks, and architectural patterns for AI development at Klaviyo, enabling the team to ship reliable AI features consistently
- Build AI observability and monitoring tooling: Instrument AI systems with latency monitoring, output quality evaluation, hallucination detection, cost dashboards, and production alerting
- Collaborate with Product and Data Science: Work closely with PMs, data scientists, and ML engineers to translate requirements into technical implementations, maintaining a tight feedback loop between experimentation and production
- Drive security and compliance in AI systems: Ensure AI integrations follow data privacy best practices, implement guardrails for sensitive data handling, and maintain compliance with Klaviyo security and governance standards
Our take
Klaviyo is a SaaS autonomous B2C CRM helping growth-focused eCommerce brands drive more sales with super-targeted, highly relevant email, Facebook and Instagram marketing campaigns. From personalised newsletters to automated emails when customers abandon their shopping carts, the marketing automation platform makes it easy for businesses to capture, store, analyse, and predictively use their own data to drive measurable, high-value outcomes.
Klaviyo's CEO, Bialecki, believes that the main problem with e-mail marketing today is that there is a divide between two kinds of tools: analytics tools that help you understand what people are doing on a website, such as what products they are considering, and messaging tools that send them a marketing e-mail. Operating primarily within the retail and eCommerce industry, Klaviyo aims to solve this by offering a tool that brings together analytics and messaging. This allows companies to bring all of their first-party data into a single platform to get a deep understanding of their customers and then activate that data to deliver highly-targeted, personalised communications through email and SMS. In the process, Klaviyo's customers get a deep understanding of their consumers.
Klaviyo is a fast-growing company mainly due to its business model - the firm offers a concrete ROI for Klaviyo’s clients if the software persuades customers to make purchases by treating different types of customers differently. An IPO in 2023 has led to Klaviyo's release of Klaviyo AI, which empowers businesses to unlock revenue-driving opportunities and deliver exceptional customer experiences across channels. Still in its early days of public listing, it will be interesting to see how Klaviyo fares in the years to come.
Freddie
Company Specialist at Welcome to the Jungle
Meet the team
Devin Bhatia, Customer Success Manager
Our mission
Create exceptional customer experiences by providing immediate and long-lasting value, while empowering creators to own their growth.Insights
4% employee growth in 12 months
Company
Employee endorsements
Opportunities to learn
"Not only we have a good stipend to spend on learning but we also have development days every quarter, where we can switch off and focus on the areas..."
Company benefits
- Private medical insurance
- Medical
- Dental
- Vision
- Lifestyle spending account
- Commuter benefits
- Modern Health - wellness platform
- Parental leave
- Company equity
- Employee stock purchase plan
- Mental health benefits
- Health savings account (HSA)
- Flexible spending accounts (FSAs)
- Employee assistance program (EAP)
- 401(k) plan with company match
- Flexible paid time off (FPTO)
- 13 company holidays
- Paid parental bonding leave
Company values
- Put customers first: We prioritize our customers > customers’ customers > team > ourselves. We empathize deeply with our customers by walking in their shoes and solving their greatest pain points. We start with what’s best for the customer, not what’s best for us, and work backwards, delivering experiences our customers will talk about.
- Win together: We’re one team, we get to know each other, we’re okay with conflict and willing to disagree and commit. We are honest, direct, transparent, and respectful. We seek and incorporate diverse perspectives and assume good intent.
- We’re 1% done: We’re just getting started – our greatest products, work, and achievements are in front of us. We have a beginner’s mindset – we see the opportunities to build and improve and have the ambition to go after them. We benchmark against the best, aim to beat them, and celebrate when we do.
- Know the score: We’re clear about what success is for each project and how it ladders to our overall success. Results are what matter. Working hard is required, but it’s not success. We use data and past performance to motivate our future strategy.
- Be meticulous in your craft: We seek to do work so good that people rave about it. We are rigorous, thorough and prepared. We are or expect to be the experts everyone in the world turns to.
- Move fast, no shortcuts: Speed matters. We set ambitious deadlines, we like short cycles and being first to market. We don’t skip critical steps or requirements to make a date. We’re comfortable living in the grey and making judgment calls to decide what’s required and what’s not.
- Drivers wanted: No passengers — we’re proactive and engaged, and if we see something wrong it’s our responsibility to fix it or raise the issue to its owner. Have a vision and make sure it’s compelling. No job is beneath us. If it needs to get done, we’re happy to pick it up. We use and spend resources like they’re our own.
- Stay hungry, stay humble: We are insatiably curious learners; our slopes are very high. If we don’t know something, we’re world- class at figuring it out. We take calculated risks and sometimes make mistakes — we’re not perfect. When we fail, we learn from it and improve going forward. Feedback is a gift, even if it hurts sometimes. We don’t tolerate brilliant jerks.
Company HQ
Dublin, Republic of Ireland
Articles
Leadership
Andrew Bialecki
(Co-Founder & Co-CEO)Previously CTO at RockTech, Senior Engineer at Performable, Lead Engineer at Applied Predictive Technologies and an SDET Intern at Microsoft
Ed Hallen
(Co-Founder & Chief Strategy Officer)Previously worked in Enterprise Business Development at Google, Summer Associate at Accel-KKR and Principal at Applied Predictive Technologies.
Chano Fernandez
(Co-CEO)Chano serves as the co-CEO, leading all go-to-market functions at Klaviyo. He previously led organizations at SAP, Workday, and Eightfold.
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