Python & React Engineer with AI (Remote, Latam)
Kubikware
Posted 3 hours ago • Via jobicy.com
Description
Job Overview
- Source: Jobicy
Job Description
We are Kubikware™
, a digital agency with 20+ years of experience designing and developing web and mobile platforms, as well as video games, AR/VR apps, and AI/ML. We are headquartered in Miami, FL with a strong South American team, and have clients and partners in the US market of all sizes and verticals. Among other accolades, we are a 5-time Inc. 5000 Fastest Growing Companies in America honoree.
We are looking to expand our amazing roster with a Senior Python, React & AI Engineer, located in Latin America. You will join a fast-paced engagement focused on building and delivering a production-ready, AI-driven solution, with potential for long-term collaboration based on performance.
We are looking for:
- 6+ years of experience in software engineering (backend or full-stack roles)
- Strong proficiency in Python (core requirement)
- Solid experience with React
- Hands-on experience building APIs and data pipelines
- Experience working with LLMs or AI-driven workflows
- Proven experience using AI-assisted development tools (e.g., Claude Code, Codex, or similar)
- Ability to build and ship production-ready code quickly in fast-paced environments
- Strong communication skills and ability to work in client-facing roles
- Experience working in Agile/Scrum environments
Nice to have:
- Experience with Azure (App Services, Blob Storage, etc.)
- Background in document processing or structured data extraction
- Familiarity with LLM validation patterns (e.g., LLM-as-judge)
- Experience working on early-stage or fast-moving projects
We offer:
- Fully remote position
- Short-term engagement (6 weeks) with strong potential for long-term extension
- Full-time
- Collaboration with US-based teams (Central Time overlap required)
- Compensation in US Dollars
If you are as excited to learn more as we are to work with you, please submit your resume and let’s be in touch!
Please, no agencies or C2C.
Salary & Compensation
Salary not disclosed; typically competitive for the role.
Work Arrangement
Type: On-Site
Standard business hours at the office.
Typical Interview Process
- Resume screening
- HR call
- Skill interview
- Final manager interview
- Offer
Tip: Research the company's products and culture.
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