Generative AI Engineer

Wizeline; Spain (TX); On-site; USD 120,000 - 175,000; Full time

Benefits offered by this job

Professional Development

Flexible Culture

Total Rewards

Job summary

Wizeline is seeking a senior software engineer to design and deploy production AI agents across industries. You will own the Agent Development Lifecycle from discovery to production, working directly with enterprise customers to translate business problems into technical solutions.

Join a growth-focused team using TypeScript, React, and LLMs to build scalable APIs and platforms. You will collaborate with Product, Engineering and AI teams to influence capabilities and improve outcomes, while

Qualifications

• 5+ years of software engineering experience with system design, scalability, and algorithms.
• Extensive experience building and deploying production software.
• Hands-on experience with LLM-powered applications.
• Experience designing scalable APIs and distributed systems.
• Ability to own projects end-to-end.
• Excellent communication with technical and non-technical stakeholders.
• Comfortable collaborating with customers to translate needs.

Responsibilities

• Design, build, and deploy production-ready AI agents that solve real-world business challenges.
• Own the complete Agent Development Lifecycle (ADLC) from discovery to production deployment.
• Collaborate with enterprise customers to translate business problems into technical solutions.
• Build scalable full-stack applications that integrate AI capabilities.
• Develop reusable frameworks, tooling, and best practices for AI agents.
• Partner with Product, Engineering, and AI teams to influence platform capabilities.
• Experiment with emerging AI technologies and evaluate models and architectures.
• Drive technical discussions with engineering teams and exec stakeholders.

Skills

TypeScript

React

LLMs

API Design

Distributed Systems

End-to-End Ownership

Customer Collaboration

AI Tooling Proficiency

Job description

Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:

Key Responsibilities

• Design, 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 optimisation.
• Collaborate 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 Skills

• 5+ years of Strong Software Engineering fundamentals, including system design, scalability, algorithms, and design patterns.
• Extensive 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-have:

• AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day‑to‑day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.

What we offer:

• Commitment to Professional Development
• Flexible and Collaborative Culture
• Total Rewards

*Specific benefits are determined by the employment type and location.