Posted at: 16 March
Senior Engineer – AI / Agentic Development (488)
Company
Ubiminds is a B2B service provider specializing in technical recruiting and staff augmentation for American companies in the IT and SaaS industries, with a focus on software and AI engineering.
Remote Hiring Policy:
Ubiminds supports remote work and hires for various roles, with opportunities for candidates based in regions such as Brazil, aligning with U.S. business hours.
Job Type
Full-time
Allowed Applicant Locations
Brazil
Job Description
Ready to take the next step in your international career? We can support you!
Ubiminds is a GPTW-certified, people-first company that partners with American software product companies to scale their global teams. We connect top LATAM talent with international product companies while providing full employer-of-record support and long-term career development.
In this opportunity, you will join an innovative engineering environment focused on AI-driven developer productivity and automation. The team is working on transforming the software development lifecycle (SDLC) by building agent-based systems and intelligent tooling that accelerate development, improve code quality, and automate engineering workflows.
You will collaborate directly with senior technical leadership to design and implement AI-powered engineering tools that integrate into existing development environments and workflows.We are looking for a Senior Engineer specialized in AI-driven development and agentic architectures to help build tools that automate and enhance the software development lifecycle.
In this role, you will design and implement AI-powered agents and workflows using modern frameworks and Claude-based tooling. Your work will focus on rapidly prototyping and delivering intelligent systems that improve developer productivity and streamline engineering processes.
The ideal candidate combines strong software engineering fundamentals with hands-on experience building AI-powered tools, agents, or automation systems, and is comfortable working in fast-paced environments where experimentation and innovation are encouraged.-
Design and develop AI-powered developer tools using Claude-based technologies.
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Build intelligent agents and automated workflows that improve SDLC efficiency.
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Develop and orchestrate multi-agent systems using modern agentic frameworks.
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Rapidly prototype and iterate proof-of-concept solutions for AI-driven automation.
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Integrate AI-powered tools with existing engineering platforms and services.
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Collaborate closely with senior technical leadership on innovation initiatives.
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Translate strategic ideas into working prototypes and production-ready solutions.
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Ensure solutions are scalable, maintainable, and aligned with engineering best practices.
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Participate in architecture discussions and contribute to the evolution of AI-enabled engineering workflows.
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Strong hands-on experience with Claude tooling (Claude Code, Claude Skills, Claude CLI).
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Experience designing agent-based architectures and intelligent workflows.
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Hands-on experience with agentic frameworks such as LangChain, LangGraph, or Microsoft Agent Framework.
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Strong backend engineering background using .NET and SQL-based systems.
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Experience integrating AI-powered systems with existing application stacks.
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Solid understanding of software development lifecycle processes and developer tooling.
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Strong problem-solving and architectural thinking skills.
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Ability to rapidly move from concept to working proof-of-concept solutions.
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Strong English communication skills.
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Experience building AI-driven developer productivity tools.
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Experience implementing SDLC automation workflows.
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Familiarity with Angular-based frontend environments.
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Experience designing multi-agent orchestration systems.
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Experience experimenting with emerging AI frameworks and LLM-based systems.
- Background working in innovation-focused engineering teams.
- Highly collaborative engineering environment focused on innovation.
- Close interaction with senior technical leadership and product strategy teams.
- Opportunity to experiment with emerging AI technologies and frameworks.
- Fast-paced development environment focused on rapid prototyping and iteration.
- Direct impact on how AI can transform engineering productivity and workflows.