Sr. Software Engineer (NLU/ NLP)

The Conversational AI team are helping drive major changes in Self and Assisted Services to deliver better outcomes, better experiences and lower costs. We are looking for a talented Senior Software Engineer to join the Conversational AI team, and help build products and services to bring the benefits of this technology to Genesys customers.

As a senior Engineer in the Conversational AI team , you will be designing and developing high quality software to deliver key features of the Product roadmaps . You will be working on tools and infrastructure challenges involving machine learning and software engineering to deliver AI powered conversational solutions.

You will be joining a collaborative team of like-minded people who thrive on technical problem solving and relish design challenges.Working in anAgile team environment, our teams are full-stack, with capabilities to deliver full features across Front-End,Back-End, Eventing and Storage layers. Genesys Software Engineers think through implementation details of scale, security and usability. We write code inPython , JavaScript and Java, and work with many technologies, including DynamoDB , SQS, Kafka, Jenkins, GIT etc, all onAWS.

Key Responsibilities:

  • Design and develop high quality, efficient, testable software to implement key product features in the area of Natural Language Understanding.
  • Bring features all the way through Design, Test, Deploy, Maintain cycle.
  • Understand, and contribute to the evolution of, the overall architecture of the system and the wider ecosystem.
  • Actively contribute input and direction to the Product roadmap.
  • Actively participate in team code reviews.
  • Act as a mentor to other members of the team.
  • Enhance overall team velocity.
  • Apply processes appropriately for data security, traceability and information sharing.

Minimum Requirements:
  • Degree in Computer Science, Software Engineering, Data Science or related disciplines.
  • Excellent programming skills, particularly in Python.
  • 5 + years of experience in Software Engineering.
  • Familiarity with NLU concepts and solutions.
  • Experience of designing & developing test REST API's.
  • Expert level of understanding of object-oriented programming and design.
  • Proactive, self-driven, and possessing a growth mindset.

Desirable Skills:
  • Qualification or experience in the field of Natural Language Processing or Linguistics.
  • Experience of developing solutions in the NLU / NLP domain.
  • Experience of AWS technologies, in particular DynamoDB.
  • Understanding of Microservices architecture principles and best practices.
  • Familiarity with Bot Platforms.

About Us:

Genesys ® powers more than 25 billion of the world's best customer experiences each year. We put the customer at the center of everything we do and passionately believe that great customer engagement drives great business outcomes. More than 10,000 companies in more than 100 countries trust the industry's #1 customer experience platform to orchestrate omnichannel customer journeys that eliminate silos and build lasting relationships. With a strong track record of innovation and a never-ending desire to be first, Genesys is the only company recognized by top industry analysts as a leader in both cloud and on-premise customer engagement solutions. Connect with Genesys via , Twitter , Facebook , YouTube , LinkedIn , and the Genesys blog .

Genesys is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 17.2px; font: 11.0px Arial; color: #434343; -webkit-text-stroke: #434343} p.p4 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 14.0px; font: 11.0px Arial; color: #0c0d00; -webkit-text-stroke: #0c0d00} li.li2 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 17.2px; font: 11.0px Arial; color: #000000; -webkit-text-stroke: #000000} li.li3 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 14.0px; font: 11.0px Arial; color: #000000; -webkit-text-stroke: #000000} li.li5 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 14.0px; font: 11.0px Arial; color: #000000; -webkit-text-stroke: #000000; background-color: #ffffff} span.s1 {font-kerning: none} span.s2 {font-kerning: none; color: rgba(0, 0, 0, 0.85); -webkit-text-stroke: 0px rgba(0, 0, 0, 0.85)} span.s3 {font-kerning: none; color: #0c0d00; -webkit-text-stroke: 0px #0c0d00} span.s4 {background-color: #ffffff} span.s5 {font-kerning: none; background-color: #ffffff} span.s6 {font-kerning: none; color: #000000; background-color: #ffffff; -webkit-text-stroke: 0px #000000} ul.ul1 {list-style-type: disc}

Back to top