Blend360

Technology

FullstackAIEngineer

$1300–2000k ~AI est. Montevideo, Uruguay FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Fullstack AI Engineer at Blend360. Skills: Fullstack Development, AI-powered systems, Python, Cloud Platforms. Collaborate with cross-functional teams. Design AI-powered applications”

Industry & Context.

Technology
Problems you'll solve

Problem-solving; Analytical thinking

What They're Looking For.

Must Have

Professional experience with fullstack software development, Experience with Python development, Hands-on experience building frontend applications, Understanding of backend development concepts, Experience working with cloud platforms, Understanding of cloud-native architectures, Advanced English level

Nice to Have

React, TypeScript, JavaScript, or similar modern frameworks, API design, AWS, Azure, or GCP, AI/LLM applications, prompt engineering, or automation tools, Deployment workflows, Modern engineering practices, 3+ years of professional software Fullstack engineering experience, Experience in AI projects

What You'll Do.

Collaborate with cross-functional teams

Design AI-powered applications

Build AI-powered applications

Design internal platforms

Build internal platforms

Contribute to backend services

Contribute to integrations

Contribute to frontend components

Support development of AI solutions

Support deployment of AI solutions

Support development of LLM-based solutions

Support deployment of LLM-based solutions

Translate requirements into solutions

Rapidly prototype ideas

Prototype AI use cases

Iterate on AI use cases

Work in fast-changing environments

Contribute to engineering patterns

Contribute to internal tooling

Contribute to shared components

Participate in code reviews

Participate in technical discussions

Participate in collaborative problem-solving

Learn cloud technologies

Adopt cloud technologies

Maintain code quality standards

Maintain collaboration standards

Maintain continuous improvement standards

How You'll Work.

Team & Collaboration

Cross-functional teams; Collaborative environments

Full Job Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are seeking an Fullstack Engineer to contribute to our next level of growth and expansion. What is this position about? We are looking for adaptable and curious engineers who want to build AI-powered systems in a fast-moving environment where technologies, tools, and priorities evolve constantly. This role is ideal for candidates with strong engineering fundamentals who enjoy solving ambiguous problems, learning quickly, and contributing across different parts of the stack. The team works on building scalable AI solutions, reusable components, and production-ready systems using modern engineering and AI technologies. Python is the primary language used across the team, while React, AWS, and Snowflake exposure are considered valuable but not mandatory. Successful candidates will be comfortable learning new technologies as business needs evolve. * Collaborate with cross-functional teams to design and build AI-powered applications and internal platforms. * Contribute to backend services, APIs, integrations, and frontend components when needed. * Support the development and deployment of scalable AI and LLM-based solutions. * Translate business and technical requirements into functional solutions. * Rapidly prototype, test, and iterate on new ideas and AI use cases. * Work in fast-changing environments with evolving priorities

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