Ubiminds19d ago

Software Architect – AI / Agentic Systems - (505)

RemoteFull-timemid

EngineeringData ScienceSoftware ArchitectSoftware Engineering

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Quick Summary

Key Responsibilities

Planning tasks Writing code Running tests Deploying applications Integrate LLMs (especially Claude) into production workflows. Design tool-use (function calling) and agent orchestration layers.

Technical Tools

EngineeringData ScienceSoftware ArchitectSoftware Engineering

Remote · Full-time

Ubiminds is a GPTW-certified, people-first company that partners with American software product companies to scale their development teams. We connect Brazil’s top 5% talent with innovative U.S. companies through a unique combination of staff augmentation and employer-of-record services.

We are supporting a cutting-edge company building an AI-first coding platform (think Replit) and looking for a Software Architect with strong AI/Agentic experience to lead this initiative.

We’re looking for a Software Architect who can design the future of software development—where autonomous AI agents and human developers collaborate seamlessly.

This role is ideal for someone who thrives at the intersection of AI, system design, and developer platforms, and is excited to build systems where agents can plan, write, test, and deploy code autonomously.

You will play a key role in defining how agentic workflows, LLM reasoning loops, and developer tooling come together in a scalable, production-grade platform.

Responsibilities

~1 min read

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Architect and lead the development of an AI-first coding platform.
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Design systems where AI agents and developers collaborate in real time.
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Build and implement agentic systems capable of:
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  Planning tasks
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  Writing code
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  Running tests
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  Deploying applications
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Integrate LLMs (especially Claude) into production workflows.
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Design tool-use (function calling) and agent orchestration layers.
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Implement strategies for long-context management and multi-step reasoning loops.
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Define architecture for scalable, distributed AI systems on AWS.
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Evaluate when to leverage .NET or alternative ecosystems, ensuring the best tool for each challenge.
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Work closely with engineering teams to bring architecture into production.