Software Engineer, Full Stack (Platform Engineering)
KustomerSalary not specified
- Full Time
- Junior (1 to 2 years)
$102,000 – $156,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Insurance, Artificial Intelligence, Software DevelopmentIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science or a related field, and have a minimum of 7 years of experience as a Full Stack Engineer. Strong proficiency in JavaScript, Python, and React is required, along with experience with cloud platforms like AWS or Azure. Experience with NLP, firmographic data, and entity resolution is preferred.
Responsibilities
As a Senior Full Stack Engineer, you will be responsible for designing, developing, and maintaining the Kalepa AI Copilot platform. This includes writing clean, efficient, and well-documented code, participating in code reviews, and collaborating with other engineers to deliver high-quality software. You will also contribute to the architecture and design of new features, and ensure the scalability and reliability of the platform. You will be involved in testing and debugging, and actively participate in the company’s experimentation process.
Skills
Full Stack Development
NLP
Entity Resolution
Firmographic Data
AI Platform Development
Backend Technologies
Frontend Technologies
Code Review
Kalepa
AI decision support platform for underwriters
About Kalepa
Kalepa provides a platform called Copilot that helps underwriters in the commercial insurance market assess risks and exposures of businesses. By combining artificial intelligence with human insights, it enables more accurate pricing and underwriting, which helps insurance companies reduce losses and improve efficiency. The platform operates on a software-as-a-service (SaaS) model, where clients pay subscription fees for access. Kalepa aims to enhance underwriting processes and improve the performance of insurance providers.
Key Metrics
New York City, New YorkHeadquarters
2018Year Founded
$13.6MTotal Funding
SERIES_ACompany Stage
Enterprise Software, AI & Machine Learning, Financial ServicesIndustries
11-50Employees