Senior Backend Engineer - Customer Engineering(Remote, US)
Remote, United States
Level AI
Level AI's call center AI uses semantic intelligence to understand support interactions to improve contact center team performance. Request a demo today.
Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.
Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. 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. At Level AI, expect a dynamic journey of fun, learning, and growth. Ready to redefine possibilities? Join us!
Competencies : Python, Django, Relational database understanding (viz: PostgreSQL, SQL), ETL, Database design, Strong experience in designing REST APIs, Cache, Redis, Celery, CI/CD, GCP, Kubernetes and Docker.
To learn more visit : https://thelevel.ai/Funding : https://www.crunchbase.com/organization/level-aiLinkedIn : https://www.linkedin.com/company/level-ai/Our AI platform : https://www.youtube.com/watch?v=g06q2V_kb-s
Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. 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. At Level AI, expect a dynamic journey of fun, learning, and growth. Ready to redefine possibilities? Join us!
Competencies : Python, Django, Relational database understanding (viz: PostgreSQL, SQL), ETL, Database design, Strong experience in designing REST APIs, Cache, Redis, Celery, CI/CD, GCP, Kubernetes and Docker.
Responsibilities:
- 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.
Requirements:
- 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 4 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.
To learn more visit : https://thelevel.ai/Funding : https://www.crunchbase.com/organization/level-aiLinkedIn : https://www.linkedin.com/company/level-ai/Our AI platform : https://www.youtube.com/watch?v=g06q2V_kb-s
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Agile APIs Architecture CI/CD Computer Science CX Data management Django Docker Engineering ETL GCP Kubernetes LLMs Machine Learning NLP PostgreSQL Python RDBMS REST API SQL
Perks/benefits: Career development Startup environment
Regions:
Remote/Anywhere
North America
Country:
United States
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