Senior Software Engineer

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Senior Software Engineer in USA

Klaviyo
Full time
Email

USA
10/23/2026
Report

Boston, MA

Responsibilities

Design and build reliable, scalable backend systems and APIs for AI-driven customer experiences.
Develop production agentic systems involving tool use, orchestration, context management, retrieval, structured outputs, and multi-step workflows.
Solve applied AI problems involving RAG, grounding, model selection, hallucination mitigation, and deterministic or hybrid approaches.
Create evaluation strategies using representative datasets, automated and human evaluation, regression testing, qualitative error analysis, and production signals.
Improve reliability through guardrails, fallbacks, retries, observability, monitoring, and failure handling.
Build asynchronous and distributed workflows for high-volume AI workloads.
Participate in on-call rotations and diagnose, mitigate, and learn from production incidents.
Work with external customers and cross-functional partners to identify workflow problems and translate feedback into product improvements.
Monitor shipped experiences and use customer behavior, quality metrics, and system performance to guide iteration.

Requirements

5–7 years of professional software engineering experience with a strong foundation in backend systems and distributed applications.
Hands-on experience building and deploying generative AI or agentic AI applications into production for real users.
Proficiency 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 production persistence patterns.
Comfort working in cloud-native environments with AWS, containers, Kubernetes, infrastructure automation, or CI/CD systems.
Ability to reason about tradeoffs among quality, latency, cost, reliability, and implementation complexity.
Ability to work independently in ambiguous environments and make pragmatic prioritization decisions.
Experience and interest in working directly with external customers.
Preferred experience training, fine-tuning, distilling, or adapting machine learning or language models for production use.
Preferred experience with reinforcement learning, feedback-driven optimization, LLM-as-judge systems, evaluator calibration, benchmark suites, AI quality platforms, or operating AI systems at scale.

Benefits

Base compensation is supplemented by potential annual cash bonus, variable compensation where applicable, equity, sign-on payments, and health, welfare, and wellbeing benefits based on eligibility.
The role may require up to 10% travel for onboarding, client or partner work, team meetings, and industry events, with travel coordinated in advance.
Klaviyo provides accommodations as needed and supports an equal-opportunity workplace.

Salary: $148k - $222k/yr

Klaviyo

Klaviyo (NYSE: KVYO) is the autonomous B2C CRM. Powered by its built-in data platform and AI, Klaviyo combines marketing automation, analytics, and customer service into one unified solution, making it easy for businesses to know their customers and grow faster. Klaviyo (CLAY-vee-oh) helps over 1...

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