Senior Back End Engineer
Updated on 11/30/2023
Slang.ai

11-50 employees

AI-powered virtual concierge for efficient call handling
Company Overview
Slang.ai is a company that excels in providing an AI-driven virtual concierge, ensuring efficient and personalized customer experiences over the phone. The company's solution has proven to significantly reduce unanswered calls and voicemails, saving teams hundreds of hours per month, and providing 24/7 customer service. With a seamless onboarding process and a strong reputation for exceeding expectations, Slang.ai is a leader in transforming telecommunication for businesses.
AI & Machine Learning

Company Stage

Series A

Total Funding

$21M

Founded

2019

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

83%

1 year growth

153%

2 year growth

229%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Google Cloud Platform
Java
Kotlin
Microsoft Azure
Sales
Scala
SQL
Natural Language Processing (NLP)
Kubernetes
NoSQL
CategoriesNew
Software Engineering
Requirements
  • 6+ years of experience in a professional software engineering setting building production quality applications
  • Facility with static typing — type systems with generics are a huge +
  • Familiarity with hybrid functional/OOP programming
  • At least a little experience with Java (don't need to be an expert but Java comes up in libraries we use and kotlin is JVM after all)
  • SQL/NoSQL are NBD for you
  • Expertise in AWS/GCP/Azure (we are on GCP)
  • Strong grasp of microservices and stateless application paradigms in cloud computing environments
  • Laughs in distributed systems
  • Fluent in SOLID principles/DDD/Clean Architecture
  • Dreams in SRE always considering SLO(A)s
Responsibilities
  • Work closely with the CEO and CTO on projects that drive success
  • Build high-impact features that touch existing and incoming customers
  • Propel sales into the stratosphere
  • Contribute to the existing full-stack Kotlin MPP application
  • Work on backend systems that handle voice/AI heavy-lifting
  • Contribute to new projects and roadmap
  • Ensure production quality applications
  • Collaborate with team members
  • Keep up with industry trends and best practices
Desired Qualifications
  • Kotlin/Scala/ML/AI systems and infrastructure
  • Experience with Kubernetes
  • Advanced degree with a focus in NLP