AI-Augmented Tech Lead (.Net /React)

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results.Required skills on Software Engineering7+ years of experience in Software EngineeringRich experience with common .NET frameworks (like ASP.NET, Entity Framework, etc.)Proven experience designing and developing complex, high-traffic, and highly scalable systemsExpert in usage and design of SQL and NoSQL databases5 + years experience with ReactCode Review PracticesExperience with Containerization tools and Docker in particularVersion Control (Git, Git-flow, branch strategy)Experience in configuring CI/CD pipelines using Infrastructure as a Code approachExpert in one of Cloud Computing platform (Azure, GCP, AWS)Required skills on AI:Hands-on experience using AI-assisted development tooling in daily engineering workflowsExperience working with AI coding assistants and agent-based development environments (Cursor, Copilot, Claude Code, Windsurf, OpenAI Codex, etc.)Understanding of AI-native software delivery practices, including spec-driven development and AI-assisted implementation workflowsAbility to effectively use AI tools for: code generation / refactoring / debugging / test generation / documentation / code reviewsUnderstanding of prompt engineering and agent instruction design for engineering tasksExperience organizing development workflows around AI-enabled collaboration models (“AI Pods”, pair-engineering with AI agents, parallelized AI-assisted execution)Experience integrating AI tooling into CI/CD and engineering processesStrong understanding of engineering ownership when using AI-generated implementationWill be a plus:Experience with multi-agent orchestration frameworksExperience configuring AI agents with custom tools and internal knowledge accessExperience establishing AI engineering standards and practices within teamsExperience building internal AI engineering accelerators or productivity platformsKubernetesExperience with message brokers (Azure Service Bus, RabbitMQ, Kafka, etc.)Responsabilities: Develop and implement complete solutionsParticipate in functional requirements analysis (including communication with the customer representatives)Describe and investigate technical design optionsFocus on solving complex tasks in a simple way with a given technologyParticipate in continuous improvements, including platform tooling and processes, implementing best practices and bringing on innovationsEnforcement of non-functional requirementsPerform code reviews and code optimizationsSupport deployment and release processes, troubleshoot production issuesTake responsibility and ownership of project components, master domain knowledgeMentor and supervise newcomers and less experienced engineers