
Posted 2 days ago
Full-Stack Software Engineer
AI Summary
Designs, develops and maintains scalable full-stack applications using Next.js, Python and Go, including microservices, APIs, and LLM-based AI agent integrations deployed on Azure and AWS.
About this role
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.
Skills
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