Backend Engineer, Level AI

Customer Engineering

Salary not provided

SQL

Docker

Kubernetes

GCP

Python

Django

Redis

Postgres

Celery

REST API

Mid and Senior level

Remote in US

AI & natural language understanding (NLU) for call centers

Job no longer available

AI & natural language understanding (NLU) for call centers

101-200 employees

B2BArtificial IntelligenceEnterpriseAnalyticsCustomer serviceSaaSAutomation

Job no longer available

Salary not provided

SQL

Docker

Kubernetes

GCP

Python

Django

Redis

Postgres

Celery

REST API

Mid and Senior level

Remote in US

101-200 employees

B2BArtificial IntelligenceEnterpriseAnalyticsCustomer serviceSaaSAutomation

Company mission

To blend human and machine intelligence to transform customer experiences.

Job

Company

Role

Who you are

Qualification: B.E/B.Tech/M.E/M.Tech from tier 1/2 Engineering institutes with relevant work experience with a top technology company
Minimum 3 years of backend experience. Experience in at least one higher-level language, preferably Python
Experience in Django is highly desirable
Good understanding of relational databases, data management, and REST API design
Some machine learning experience in the context of NLP would be preferable
Excellent problem-solving skills
Possess an extremely sound understanding of areas in the basic areas of Computer Science such as Algorithms, Data Structures, Object Oriented Design, Databases

What the job involves

As a vital team member, you'll work on high-impact projects shaping the future of AI-driven enterprise applications alongside experts from Amazon, Facebook, Google, and more
Innovate, build, and invent on the behalf of our customers. Plan, execute and maintain entire products/features which millions of customers will experience
Ability to design and code the right solutions starting with broadly defined problems
Drive best practices and engineering excellence
Work with other team members to develop the architecture and design of new and current systems
Work in an agile environment to deliver a high-quality Product

Our take

Contact centres are vital for businesses, but they face challenges like high turnover, low efficiency, and managing large volumes of customer interactions,. Traditional methods often fall short in improving service quality and securely handling customer data.

Level AI addresses these challenges with AI-powered tools that enhance contact centre operations. Using generative AI and large language models (LLMs), the platform analyzes customer conversations, provides real-time agent support, and automates tasks like quality assurance and sentiment analysis.

Having recently landed significant funding, the company is ready to expand its team and further innovate. With these resources, level AI is set to make even bigger waves in the contact centre world, helping businesses improve customer interactions and boost efficiency.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

Glassdoor (4.2)

Company

Funding (last 2 of 4 rounds)

Jul 2024

$39.4m

SERIES C

Mar 2022

$20m

EARLY VC

Total funding: $74.4m

Company benefits

Equity
Unlimited paid vacation
Remote work options

Company values

Travel to Customer: Solve the customer’s problems, meet where they are and let their agenda set our agenda
Innovate for Customers: Don’t solve hard problems because they are cool. Solve them only when they solve customer’s pain
Speed: Speed solves many problems. Enables more shots at goal while keeping us on our toes
Be Bold: While planning we also dream big. We punch above our weight in our targets and plans
Bar Raising Hires: With every new teammate we seek to raise the bar of the team. Choose for culture as much as competence
Create Owners: We nurture ownership and accountability. Single minded focus married with talent can create magic

Company HQ

Old Mountain View, Mountain View, CA

Articles

Level AI Secures $39.4 Million in Series C

Level AI applies algorithms to contact center pain points

Leadership

Ashish Nagar

(CEO)

Previously a Product Manager at Amazon Alexa's Conversational AI Team. Worked as Director of Product & Business at both Relcy, Inc. and Kinestral Technologies Inc. Also worked as a Venture Capitalist at Investor Growth Capital and was a Senior Associate at The Boston Consulting Group.

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