Job Specifications
CONTEXT
Zelros is an innovative and award-winning AI platform that provides to bank and insurance companies an Agentic AI platform. By integrating specialized large language model (LLM) agents tailored to the banking and insurance industries, Zelros assists professionals in anticipating and addressing each client's needs with personalized, real-time solutions. Industry leaders such as AXA, Covea, BPCE, MAIF, and Matmut trust Zelros to create outstanding experiences.
Zelros is named a Cool Vendor in Gartner's "Cool Vendors in Insurtechs Adding GenAI" report for its integration of generative AI. Zelros is also recognized as a GenAI solution for sales agents in the distribution process by CB Insights.
If you want to join a fast-paced high energy global startup, and make a meaningful difference for our business and the bank and insurance industry, this is the place for you.
JOB DESCRIPTION
Functionally, our clients use our platform to improve their efficiency whether it is for their distribution, customer service or operations processes.
Technically, our platform runs on any cloud (Microsoft Azure, AWS, …) and is based on dockerized microservices, with:
Nest.js (Node/Typescript) for backend
Angular and SolidJS for frontend
Azure/Kubernetes/ArgoCD for infrastructure
As foundational models we leverage Microsoft Azure OpenAI, AWS Anthropic, as well as open source LLMs like Llama, Mistral or IBM Granite.
In terms of methodology, we use an adaptation of Kanban with 3 product releases per year. Daily meetings serve as synchronization. The full tech team syncs at least once a week to share progresses, obstacles, news, etc. And each developer gets the opportunity to demo the new evolutions to the Zelros team each Friday. Features are delivered in real time on test environments and then deployed in clients production environments about thrice a year.
At Zelros, creating a product that suits our customers is of utmost importance while minimizing technical debt. This goes through :
technical discussions,
code-reviews for each feature and peer-programming,
workshops and hands-on on all subjects,
emphasis on performances, clean code, test coverage and security (we are ISO 27001 certified)
an awesome CI
You’ll be a member of the Engineering team, reporting to the Head of Software Engineering. You will interact with AI Product Owners, Architects and LLMOps..
Your main mission is to conceive technical solutions for our product, particularly by leveraging LLM capabilities..
As a Senior SaaS Software Engineer, you will:
Design, develop, deliver, and document secure and stable technical components for all Zelros features, in collaboration with the team. Most functionalities will involve the use of LLMs.
ensure consistency between all features (in terms of code, architecture and deployment)
ensure quality assurance through business and statistical testing
At Zelros, you will learn how to
integrate LLMs into product features
master large and complex Node.js applications,
master advanced Angular and SolidJS techniques,
increase your development best practices (TDD, coding rules, retrospectives, features team work)
conceive modular and scalable and software architectures using a microservices-based approach
PROFILE
This job is for you if :
You have 2 to 6 years of experience
you have a first experience as a software engineer, preferably in a SaaS software company
you are fluent in English, Node/Typescript/Javascript and Angular
you have excellent communication skills, ability to interact effectively with multidisciplinary team
you are excellent at multitasking
It’s even better if :
you have an experience with LLMs
you have a start up experience
you have a Github with stars
you love great UX
About the Company
Zelros is a pioneering, award-winning AI platform that empowers insurance agents and bank advisors with its advanced Copilot. By integrating specialized LLM agents tailored for banking and insurance, Zelros helps professionals anticipate and meet each client’s needs with personalized, timely solutions. Through AI-driven features, it enables agents and advisors to efficiently identify customer requirements, deliver personalized recommendations, automate workflows, and provide accurate, real-time responses. With seamless syste...
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