Full-Stack Software Engineer

We are looking for a Senior Full Stack Engineer / AI Engineer with strong experience building scalable applications using modern microservices and event-driven architectures. In this role, you will design, develop, and maintain robust software solutions, working across frontend and backend technologies while contributing to AI-powered applications, LLM integrations, and intelligent agents.

The ideal candidate is a hands-on engineer with strong technical expertise, a solid understanding of software architecture, and a passion for building secure, scalable, and high-performance products.

Key Responsibilities

Design, develop, and maintain scalable applications using Next.js (React), Python, and Go (Golang) . Architect and implement decoupled microservices following Clean Architecture and Domain-Driven Design (DDD) principles. Design and integrate RESTful APIs, GraphQL services, and asynchronous messaging systems. Contribute to the development and integration of AI agents using Large Language Models (LLMs) and conversational AI frameworks.

Ensure application performance, security, reliability, and scalability. Conduct code reviews and implement automated unit and integration testing. Collaborate with cross-functional teams on cloud deployments using Azure and AWS. Contribute to CI/CD pipeline optimization and software development best practices.

Requirements

3-5 years of experience in full stack software development. Strong development experience with Next.js (React), Python, and/or Go (Golang) . Solid experience designing, developing, and consuming RESTful APIs and GraphQL services. Hands-on experience with microservices and event-driven architectures. Knowledge of SQL databases such as PostgreSQL or SQL Server, and NoSQL technologies such as MongoDB or Redis.

Familiarity with asynchronous messaging technologies such as Kafka, RabbitMQ, or Azure Service Bus. Experience with containerization and orchestration tools, including Docker and Kubernetes. Knowledge of CI/CD pipelines, Git, and preferably Azure DevOps. Understanding of API security, OAuth 2.0, JWT, and secure development practices.

Experience implementing unit and integration tests. Experience with AI agent frameworks such as LangGraph or AgentCore, or integrating LLMs such as OpenAI or Anthropic.

Nice to Have

Strong understanding of SOLID principles, object-oriented programming, and design patterns. Familiarity with Domain-Driven Design (DDD), Clean Architecture, and Clean Code practices. Experience with code quality tools such as SonarQube and code coverage analysis. Experience with automated testing frameworks. Experience working in Agile environments using Scrum or Kanban.

Familiarity with cloud services such as Azure Web Apps, Azure API Management, and AWS Lambda.