Backend Engineer

As a Back End Developer at Earnix, you will be an integral part of our Engineering team, reporting to the Group Lead to Agentic AI. You will interact with AI Product Owners, Architects, and LLMOps to conceive technical solutions for our product, particularly by leveraging LLM capabilities

 What You'll Do

Design, develop, deliver, and document secure and scalable backend services and APIs for Earnix features, leveraging modern cloud-native architectures.

Build and maintain microservices-based systems with high availability and performance.

Collaborate with cross-functional teams to ensure consistency in architecture, code quality, and deployment practices.

Integrate AI capabilities (including LLMs and agentic tools) into backend workflows and services.

Apply best practices in software development, including TDD, clean code principles, and continuous integration.

Contribute to modular and extensible architectures that support future growth and innovation.

Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

REQUIREMENTS

You'll Do It Using

At least 6+ years of experience in backend software engineering.

Strong proficiency in TypeScript and/or Python for backend development.

Experience designing and deploying microservices in cloud environments (Microsoft Azure, AWS).

Hands-on experience with containerization and orchestration (Docker, Kubernetes, ArgoCD).

Familiarity with AI agent frameworks, LangGraph, MCP, or similar technologies (preferred).

Knowledge of integrating LLMs and AI tools into backend systems.

Solid understanding of CI/CD pipelines, security best practices, and performance optimization.

Experience with Kanban methodology, code reviews, and collaborative development processes.

You'll excel by

Demonstrating excellent communication and interpersonal skills to effectively collaborate with AI Product Owners, Architects, and LLMOps.

Showing a proactive approach to identifying and solving problems, ensuring the quality and stability of technical components.

Being adaptable and open to learning, continuously improving your skills and knowledge to better serve our clients.

Exhibiting strong project management skills, ensuring projects are completed on time and within scope.