Proven experience as a Senior Software Engineer, delivering complex backend or platform solutions in production environments
Deep knowledge of the Go Programming Language ecosystem, including concurrency, performance tuning, and service design
5+ years of professional software engineering experience, with 2+ years of hands-on production experience in Go and/or other modern backend languages
Practical experience building or integrating AI-powered applications, including APIs based on OpenAI, Anthropic, or similar LLM platforms
Familiarity with concepts such as prompt engineering, retrieval-augmented generation (RAG), function/tool calling, conversation orchestration, and model evaluation
Strong understanding of software architecture, design patterns, and best practices, with a track record of applying them to scalable systems
Experience designing, building, and maintaining distributed systems and microservices architectures
Experience developing systems that require high availability, observability, security, and strong operational excellence
Experience with MongoDB or other NoSQL databases
Hands-on experience with Amazon Web Services and cloud-native infrastructure patterns
Working knowledge of containers and developer tooling, including Docker, Git, and CI/CD pipelines
Strong communication skills, a collaborative mindset, and experience working with cross-functional teams
Good level of English (B2 or higher)
Experience working directly with users, product owners, and stakeholders to gather requirements and translate business needs into technical solutions
Experience with infrastructure as code and deployment automation, including Amazon Web Services CDK, Terraform, or similar tooling
Working knowledge of frontend development using JavaScript, HTML, CSS, and React
Proficiency in Python for automation, scripting, data processing, AI integrations, or rapid prototyping
Experience using modern AI-assisted engineering tools such as Cursor, Anthropic Claude Code, GitHub Copilot, or similar developer productivity platforms
Familiarity with CI/CD pipelines, developer workflows, and engineering practices that accelerate high-quality software delivery