How will you impact?
As a Mid-Level Backend Engineer, you will directly drive the backend architecture for a cutting-edge conversational property search experience where LLMs orchestrate the user journey. By building scalable microservices, optimising data integrations, and enabling real-time streaming, you will turn complex AI capabilities into seamless, highly reliable consumer interactions.
Your key responsibilities:
Your responsibilities include, but are not limited to:
Develop, maintain, and enhance backend microservices and APIs (REST/gRPC) primarily using TypeScript (Node.js) and Go.
Implement and optimize event-driven, asynchronous workflows using messaging platforms such as Kafka, SQS, or SNS.
Manage and tune relational, search, and caching data stores including PostgreSQL/MySQL, OpenSearch, and Redis for maximum performance.
Deploy, maintain, and monitor containerised applications across AWS and Kubernetes environments.
Diagnose, debug, and resolve complex backend production issues to ensure system stability and high availability.
Drive code quality standards across the team through automated unit/integration testing, peer code reviews, and technical documentation.
Partner with product managers, designers, and cross-functional engineers to translate user needs into practical, high-impact backend solutions.
What you’ll bring to the role:
Essential Requirements:
3-6 years of professional software engineering experience with strong focus on backend microservices and API design (REST/gRPC).
Hands-on expertise with TypeScript (Node.js) for enterprise backend development.
Solid experience working with relational databases (MySQL/PostgreSQL), search engines (OpenSearch/Elasticsearch), and in-memory caches (Redis).
Practical experience with AWS cloud services and asynchronous/event-driven architectures (Kafka, SQS, or SNS).
Demonstrated commitment to software quality through unit/integration testing, debugging, and production support.
Desirable Requirements:
Hands-on exposure to Go or a strong desire to learn and contribute to existing Go services.
Hands-on experience or exposure to production LLM-powered applications (e.g., function/tool calling, context management, prompt caching).
Location & Work Model:
Serbia: Fully Remote (Contract)
Candidates must be based in Serbia and able to work UAE hours (GST).
You will receive:
The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
The opportunity to be part of an amazing, multicultural community of tech experts.
Direct hands-on exposure to modern, production-grade LLM applications and AI orchestration patterns.
Published on: 10/22/2026
Parser
Parser is a boutique technology services and consulting firm with active operations, remote teams, and physical offices in Spain.
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