Senior Backend Engineer - GenAI Group

We're looking for a hands-on Senior Backend Engineer to join the App Studio & Intelligence team within our GenAI Group. Our group builds the company's core Generative AI products - including a company-wide agents platform and customer-facing AI assistants - enabling teams across us and our customers to design and deploy AI-driven solutions.

In this role, you'll design and build scalable microservices and cloud-native infrastructure at the heart of our GenAI applications, working with advanced AI capabilities such as knowledge bases, embeddings, LLM orchestration, agent frameworks, and evaluation systems. You'll be a senior technical voice on the team - owning complex features end-to-end, raising the engineering bar, and shaping how AI capabilities are delivered in production.

What You'll Do

Design, build, and own backend services and infrastructure for our GenAI applications - scalable, resilient, production-grade systems running on AWS.

Build the APIs, data pipelines, and backend integrations that power advanced AI capabilities, including knowledge bases, embeddings, LLM orchestration, agent workflows, and evaluation framewor

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You'll do it using:

5+ years of backend engineering experience building and operating production systems at scale, with a strong sense of ownership from design through deployment and operations.

Deep expertise in microservices architecture, API design, and distributed systems, with cloud-native design experience on AWS (or GCP/Azure) using Kubernetes and Helm.

Proficiency in Python for building scalable backend services, with a focus on clean, production-grade code and seamless integration of AI components.

Hands-on experience integrating Generative AI into backend systems, including LLMs, knowledge bases, and agent frameworks, plus familiarity with tooling such as AWS Bedrock, LangChain/LangGraph and vector databases.

Solid experience with data and messaging technologies - SQL/NoSQL databases, caching layers, and message brokers such as PostgreSQL, Redis, Kafka, RabbitMQ, and Elasticsearch.

Strong command of observability practices, with hands-on experience in tools such as Prometheus, Grafana, or Splunk for monitoring, distributed tracing, and alerting.

Fluency in agile development and delivery tooling such as Jira, with a