Software Engineer, Conversational Products & Agent Workflows

At Klaviyo we value the unique backgrounds experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If youre a close but not exact match with the description we hope youll still consider applying. Want to learn more about life at Klaviyo Visit see how we empower creators to own their own destiny.

Software Engineer Conversational Products & Agent Workflows
Customer Agent

About the Role

At Klaviyo we believe the future of software lies not only in tools that help people work more efficiently but in intelligent systems that can take action learn from outcomes and improve customer experiences over time.

Klaviyo serves more than 167000 customers and processes billions of consumer profiles messages interactions and conversion signals. This creates a unique opportunity to build state-of-the-art AI systems that help businesses create and execute better customer experiences at scale.

Were looking for a Software Engineer Conversational Products & Agent Workflows to join the Customer Agent team Klaviyos AI-native conversational platform. Youll help build scalable backend systems and AI-powered product experiences that enable agents to retrieve context use tools and take reliable action on behalf of customers.

This is a backend-heavy role with opportunities to contribute to user-facing experiences . Youll independently own meaningful pieces of larger systems contribute to technical decisions and continue developing your depth across backend engineering applied AI and production reliability.

How You Will Make a Difference

• Build and improve reliable backend systems and APIs that power AI-driven customer experiences.
• Develop production agentic features involving tool use context management retrieval structured outputs orchestration and multi-step workflows.
• Contribute to solving applied AI problems across retrieval and RAG grounding hallucination mitigation model selection and choosing between LLM-based deterministic or hybrid approaches.
• Build and use evaluation approaches including representative datasets automated and human evaluation regression testing qualitative error analysis and production signals.
• Improve system reliability through guardrails retries fallbacks observability monitoring and thoughtful failure handling.
• Build asynchronous and distributed processing workflows that support AI workloads at scale.
• Participate in an on-call rotation and help diagnose mitigate and learn from production incidents.
• Work with external customers and cross-functional partners to understand workflows identify pain points and translate feedback into product improvements.
• Monitor shipped experiences and use quality metrics system performance and customer feedback to guide iteration.

Who You Are

• You have 3 years of professional software engineering experience with experience building backend systems or distributed applications.
• You have hands-on experience building or contributing to generative AI or agentic AI applications ideally used by real users or in production environments.
• You are proficient in Python and have experience with modern backend frameworks such as FastAPI or Django.
• You have experience with asynchronous processing or distributed task/event systems such as Celery Kafka SQS RabbitMQ or Redis.
• You have working knowledge of databases data modeling APIs and persistence patterns used in production systems.
• You are comfortable working in cloud environments and have experience with technologies such as AWS containers Kubernetes infrastructure automation or CI/CD systems.
• You can reason about tradeoffs among quality latency cost reliability and implementation complexity and know when to seek additional technical context.
• You are comfortable working through ambiguity breaking larger problems into smaller pieces and making progress without every requirement being fully specified.
• You have experience with or strong interest in working directly with external customers to understand problems and improve products.
• You care about shipping useful reliable products and are motivated to deepen your engineering judgment in a rapidly evolving technical space.

Nice to Have

• Experience training fine-tuning distilling or otherwise adapting machine learning or language models.
• Experience with reinforcement learning or feedback-driven optimization.
• Experience with evaluation infrastructure such as LLM-as-judge systems evaluator calibration benchmark datasets or AI quality tooling.
• Experience operating AI systems at meaningful production scale or optimizing inference cost latency or throughput.

#indeedRD

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Required Experience:

Unclear Seniority