Senior Software Engineer, Contact Automation, AI

Wise

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Budapest, HungaryNew York, NYLondon, United Kingdom
Posted
9 days ago
Freshness
Confirmed live yesterday
Closes
Sep 2, 2126

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Salary context

How this pay compares to similar roles

Similar $177k
$107k most similar roles pay here $238k

This listing doesn't post a salary. Most similar roles pay $151,000–$202,861.

Based on 240 similar postings.

Employer

About Wise

Wise (formerly TransferWise) is a global technology company specializing in international money transfers and multi-currency accounts, offering transparent low-cost foreign exchange for individuals and businesses. Industry: Financial Technology & International Payments

Wise currently has 26 open roles on FindRole.

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At a glance

TL;DR · Senior Software Engineer, Contact Automation, AI

As a Senior Software Engineer - Contact Automation - AI, you will join the Contact Automation team to serve as a technical leader in an autonomous unit focused on the Wise Assistant. You will lead the design, development, and deployment of scalable microservices to automate customer issues and improve operational efficiency. Your daily work involves building intent detection systems, contact processing pipelines, and routing logic for various automation solutions including RAG, LLM workflows, and AI agents. You will utilize Java, TypeScript, Python, Kafka, and AWS Bedrock while managing integrations with third-party AI Agent vendors. The role requires expertise in event-driven architecture, relational and non-relational databases, and RESTful APIs. You will solve complex problems in the domain of automating customer support and servicing operations through advanced AI engineering and production-grade RAG systems.

What does a Software Engineer earn in New York?

Median $224000 from 203 postings across 41 companies.

See salary data

What you'll do

  • Lead the design, development, and deployment of scalable Java microservices using Kafka for the Wise Assistant.
  • Own intent detection systems, contact processing pipelines, and routing logic for automated customer solutions.
  • Design and implement production-grade LLM solutions using AWS Bedrock to resolve customer queries.
  • Build and fine-tune Retrieval Augmented Generation (RAG) systems and evaluation frameworks for AI models.
  • Manage technical integrations with third-party AI Agent vendors and multi-agent systems.
  • Develop and refine automated conversational flows in collaboration with content designers.
  • Provide technical guidance and mentorship to other engineers to foster engineering excellence.
  • Optimize the performance, reliability, and scalability of the automation platform for high volumes.

What we're looking for

  • Strong proficiency in Java is essential, particularly within an event-driven architecture using Kafka.
  • Experience designing, building, and maintaining scalable microservices.
  • Experience applying AI/ML concepts and LLMs to solve real-world problems in production environments.
  • Experience building and fine-tuning production-grade RAG systems and implementing evaluation frameworks for LLM solutions.
  • Hands-on experience with AWS Bedrock and its enterprise features for managing LLMs.
  • Familiarity with Agentic workflows, AI Agent solutions, and multi-agent systems.
  • Solid experience with both relational and non-relational databases, including query optimization and schema design.
  • Proven ability in designing, deploying, and maintaining clean, well-documented RESTful APIs.

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