Message Queues Engineer Jobs

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Sr. Lead - AI Engineer

Klaviyo Boston, MA

Boston, MA

Today

$216k - $324k/yr Full time Backend Developer Artificial Intelligence Automation

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Job Description

Sr. Lead AI Engineer role at Klaviyo in Boston, focused on scaling the Core Orchestration platform for Marketing AI and Service AI agentic capabilities.

Responsibilities

Architect and scale Klaviyo’s Core Orchestration platform for high-throughput, low-latency services with extreme reliability.
Set and drive the technical direction for integrating AI-driven agentic workflows and automated decision-making into core customer interactions.
Lead adoption of AI-native software development practices to improve engineering productivity and delivery speed.
Design reusable foundation frameworks and services used across engineering teams.
Maintain high technical standards through design reviews and mentorship.
Collaborate with product management, data science, design, and executive leaders to shape strategic roadmaps and long-term platform architecture.

Requirements

8+ years of professional software engineering experience in distributed systems, microservices architecture, and owning high-availability backend platforms.
Hands-on experience shipping production LLM workflows, RAG pipelines, or agentic frameworks, including strong understanding of evals, prompt architecture, and fine-tuning.
Demonstrated experience designing event-driven architectures, asynchronous processing pipelines, and message queues such as Kafka, Celery, SQS, and Redis for heavy throughput workloads.
Strong proficiency in Python and modern frameworks including FastAPI and Django, plus experience with data processing platforms and ORM tooling.
Deep expertise with AWS, Kubernetes, CI/CD automation, and modern observability suites integrated into system design.
Experience building automated evaluation frameworks for AI models, with tradeoffs across latency, accuracy, cost, and safety in production.
Technical leadership that improves team performance through architectural direction, collaborative problem-solving, and clear communication across engineering and business domains.
Comfort collaborating with PMs, ML engineers, and customers to translate customer needs, product goals, and technical constraints while prioritizing customer experience.
Active use of AI coding tools and modern agentic development workflows to accelerate innovation and shorten feedback cycles.
Focus on user outcomes with a strong ability to convert complex requirements into resilient software architecture.

Technologies

Python, FastAPI, Django
Kafka, Celery, SQS, Redis
AWS, Kubernetes, CI/CD automation, observability suites
LLM, RAG, message queues

Nice to Have

Experience designing or integrating shared AI/ML platforms used by multiple internal engineering teams.
Domain experience in MarTech, e-commerce platforms, personalization engines, or real-time event streaming.

Travel Requirements

May require up to 10% travel for new hire onboarding, client or partner work (if applicable), team meetings, and industry events.

Location

Boston, MA (onsite)
Based in the Boston hub with a hub-first model and regular in-office collaboration

Salary range: USD 216,000 - 324,000 per year

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