Blend360

Technology

AIEngineer

$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

“AI Engineer at Blend360. Skills: AI, LLM, Python, Cloud-native architecture. Design AI-powered applications. Develop AI-powered applications”

Industry & Context.

Technology
Problems you'll solve

System thinking; Translate ambiguous problems

What They're Looking For.

Must Have

3+ years software engineering experience, Python and backend engineering experience, Experience designing and building scalable APIs, Experience building distributed systems, Hands-on experience building AI/LLM applications, Hands-on experience building automation workflows, Experience working with cloud platforms, Understanding of software architecture, Understanding of system design, Understanding of engineering best practices, Ability to navigate ambiguity, Ability to adapt quickly, Advanced English level

Nice to Have

Experience with React, Experience with AWS, Experience with Snowflake, Frontend experience with React, Exposure to Snowflake, Exposure to modern data platforms, Experience mentoring engineers, Experience leading technical initiatives

What You'll Do.

Design AI-powered applications

Develop AI-powered applications

Deploy AI-powered applications

Translate business problems

Build backend systems

Maintain backend systems

Maintain integrations

Maintain AI workflows

Collaborate across initiatives

Deliver end-to-end solutions

Rapidly prototype AI-driven products

Iterate on AI-driven products

Prototype internal accelerators

Iterate internal accelerators

Contribute to architecture decisions

Contribute to engineering standards

Contribute to system patterns

Mentor junior engineers

Support technical growth

Drive scalability improvements

Drive reliability improvements

Drive performance improvements

Drive developer experience improvements

Work with stakeholders

Balance business needs

Balance technical trade-offs

Balance delivery timelines

Evaluate emerging AI tools

Adopt emerging AI tools

Evaluate emerging frameworks

Adopt emerging frameworks

Evaluate engineering practices

Adopt engineering practices

How You'll Work.

Team & Collaboration

Cross-functional teams; Frontend teams; Backend teams; Cloud teams; AI teams; Stakeholders

Communication Scope

Stakeholder communication

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 a AI Engineer to contribute to our next level of growth and expansion. What is this position about? We are seeking highly adaptable engineers with strong system-thinking capabilities to help build and scale AI-powered platforms and applications. This role is focused on engineers who thrive in ambiguity, can quickly adapt to changing priorities, and are comfortable working across multiple technologies and layers of the stack. The ideal candidate combines strong software engineering fundamentals with hands-on experience building production-ready systems and AI-enabled solutions. The team primarily works with Python, AI/LLM technologies, and modern cloud-native architectures. Experience with React, AWS, and Snowflake is highly valued but not strictly required, as adaptability and learning agility are considered more important than expertise in a single technology. * Design, develop, and deploy scalable AI-powered applications and services. * Translate ambiguous business problems into robust technical solutions. * Build and maintain backend systems, APIs, integrations, and AI workflows. * Collaborate across frontend, backend, cloud, and AI initiatives to deliver end-to-end solutions. * Rapidly prototype and iterate on AI-driven products and internal accelerators. * Contribute to architecture decisions, engineering

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