Senior Software Engineer - Contact Automation - AI

Wise

📍 Budapest, HU On-Site 💰 HUF 1,700,000 - HUF 2,250,000/yr ⏳ 4h ago
AI assistant

Job Description

About the Role
As a Senior Software Engineer in the Contact Automation team, you will play a pivotal role in shaping the future of customer support at Wise. You'll be a key technical leader in an autonomous team, driving the vision and end-to-end solutions for the Wise Assistant. This is a high-impact role where you'll tackle complex engineering challenges to automate real customer issues, significantly improving their experience and our operational efficiency.

How We Work

  • Agile & Collaborative: We operate in an agile fashion, fostering close collaboration between engineers, product managers, content designers, analysts, and data scientists.
  • Cross-Functional Teams: You'll work alongside talented individuals to design, build, and iterate on solutions that deliver tangible customer value.
  • International Presence: Our team is distributed across our Budapest, New York and London offices, offering a diverse and dynamic working environment.

What You'll Be Working On

  • Lead the design, development, and deployment of scalable, resilient, and high-performance components for the Wise Assistant. This includes our core Java microservice consuming Kafka messages, as well as contributing to our Typescript and Python codebases.
  • Take ownership of our intent detection systems, contact processing pipelines, and the routing logic that connects customers to various automation solutions (templates, RAG, LLM workflows, AI agents, Vendor solutions)
  • Innovate with AI: Design and implement solutions leveraging foundational LLM models (AWS Bedrock) to resolve customer queries effectively
  • Integrate & Orchestrate: Lead and manage the technical integration with third-party AI Agent vendors, ensuring seamless and robust connectivity.
  • Scale & Optimize: Continuously improve the performance, reliability, and scalability of our automation platform to handle growing volumes and complexity.
  • Collaborate for Impact: Work closely with content designers to implement and refine automated conversational flows, ensuring a high-quality user experience.
  • Mentor: Provide technical guidance and mentorship to other engineers, fostering a culture of engineering excellence and continuous learning.