Generative Ai Engineer

Descripción del trabajoWe areWizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products andKey ResponsibilitiesDesign, build, and deploy production-ready AI agents that solve real-world business challenges across multiple industries.Own the complete Agent Development Lifecycle (ADLC), from discovery and proof of value through production deployment and continuous directly with enterprise customers to understand business problems, translate them into technical solutions, and deliver measurable outcomes.Build scalable, maintainable, and high-performance full-stack applications that integrate modern AI capabilities.Develop reusable frameworks, tooling, and best practices for implementing AI agents.Partner with Product, Engineering, and AI teams to influence platform capabilities based on customer needs.Experiment with emerging AI technologies and rapidly evaluate new models, frameworks, and architectures.Drive technical discussions with both engineering teams and executive stakeholders.Must-have Skills5+ years of Strong Software Engineering fundamentals, including system design, scalability, algorithms, and design experience building and deploying production software.Deep hands-on experience with TypeScript and React.Ability to quickly adapt across different full-stack technologies and architectures.Experience designing scalable APIs and distributed systems.Proven ability to own projects end-to-end.Hands-on experience building applications powered by Large Language Models (LLMs).Strong understanding of agentic architectures, including concepts such as:Experience integrating AI capabilities into production environments rather than experimentation alone.Familiarity with modern AI tooling and orchestration frameworks.Comfortable working directly with customers to understand business needs.Ability to translate ambiguous business requirements into scalable technical solutions.Excellent communication skills with both technical and non-technical stakeholders.Strong ownership mindset and bias toward execution.Nice-to-haveAI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process recommendations on effective AI use and identify opportunities to streamline workflows.What we offerA High-Impact EnvironmentCommitment to Professional DevelopmentFlexible and Collaborative CultureGlobal OpportunitiesVibrant CommunityTotal RewardsSpecific benefits are determined by the employment type and location.xkdbapo Find out more about our culture here.#J-**-Ljbffr

Strong understanding of agentic architectures, including concepts such as:Experience integrating AI capabilities into production environments rather than experimentation alone.Familiarity with modern AI tooling and orchestration frameworks.Comfortable working directly with customers to understand business needs.Ability to translate ambiguous business requirements into scalable technical solutions.Excellent communication skills with both technical and non-technical stakeholders.Strong ownership mindset and bias toward execution.Nice-to-haveAI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process recommendations on effective AI use and identify opportunities to streamline workflows.What we offerA High-Impact EnvironmentCommitment to Professional DevelopmentFlexible and Collaborative CultureGlobal OpportunitiesVibrant CommunityTotal RewardsSpecific benefits are determined by the employment type and location.xkdbapo Find out more about our culture here. #J-**-Ljbffr

Descripción del trabajoWe areWizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products andKey ResponsibilitiesDesign, build, and deploy production-ready AI agents that solve real-world business challenges across multiple industries.Own the complete Agent Development Lifecycle (ADLC), from discovery and proof of value through production deployment and continuous directly with enterprise customers to understand business problems, translate them into technical solutions, and deliver measurable outcomes.Build scalable, maintainable, and high-performance full-stack applications that integrate modern AI capabilities.Develop reusable frameworks, tooling, and best practices for implementing AI agents.Partner with Product, Engineering, and AI teams to influence platform capabilities based on customer needs.Experiment with emerging AI technologies and rapidly evaluate new models, frameworks, and architectures.Drive technical discussions with both